com.anylogic.engine.Utilities

All Implemented Interfaces:: AgentConstants, EnvironmentConstants, Serializable

Direct Known Subclasses:: Agent, Experiment

public abstract class Utilities
extends Presentable
implements EnvironmentConstants, AgentConstants

This class provides a lot of commonly used functions and constants, including the probability distributions and mathematical functions. The class is a superclass for Agent and Experiment, so that its functions can be called without any prefixing from any code written by the user within those subclasses.

Author:: AnyLogic North America, LLC https://anylogic.com
See Also:: Serialized Form

Field Summary

Modifier and Type	Field	Description
`static final int`	`AM`	Value of the `getAmPm(Date)` method indicating the period of the day from midnight to just before noon.
`static final int`	`APRIL`	Value of the `getMonth(Date)` method indicating the fourth month of the year in the Gregorian and Julian calendars.
`static final int`	`AUGUST`	Value of the `getMonth(Date)` method indicating the eighth month of the year in the Gregorian and Julian calendars.
`static final int`	`DECEMBER`	Value of the `getMonth(Date)` method indicating the twelfth month of the year in the Gregorian and Julian calendars.
`static final int`	`FEBRUARY`	Value of the `getMonth(Date)` method indicating the second month of the year in the Gregorian and Julian calendars.
`static final int`	`FRIDAY`	Value of the `getDayOfWeek(Date)` method indicating Friday.
`static final double`	`infinity`	A constant holding the positive infinity of type `double`. If you want to get negative infinity, please write `-infinity`
`static final int`	`JANUARY`	Value of the `getMonth(Date)` method indicating the first month of the year in the Gregorian and Julian calendars.
`static final int`	`JULY`	Value of the `getMonth(Date)` method indicating the seventh month of the year in the Gregorian and Julian calendars.
`static final int`	`JUNE`	Value of the `getMonth(Date)` method indicating the sixth month of the year in the Gregorian and Julian calendars.
`static final LengthUnits`	`LENGTH_UNIT_CENTIMETER`
`static final LengthUnits`	`LENGTH_UNIT_FOOT`
`static final LengthUnits`	`LENGTH_UNIT_INCH`
`static final LengthUnits`	`LENGTH_UNIT_KILOMETER`
`static final LengthUnits`	`LENGTH_UNIT_METER`
`static final LengthUnits`	`LENGTH_UNIT_MILE`
`static final int`	`MARCH`	Value of the `getMonth(Date)` method indicating the third month of the year in the Gregorian and Julian calendars.
`static final int`	`MAY`	Value of the `getMonth(Date)` method indicating the fifth month of the year in the Gregorian and Julian calendars.
`static final int`	`MONDAY`	Value of the `getDayOfWeek(Date)` method indicating Monday.
`static final int`	`NOVEMBER`	Value of the `getMonth(Date)` method indicating the eleventh month of the year in the Gregorian and Julian calendars.
`static final int`	`OCTOBER`	Value of the `getMonth(Date)` method indicating the tenth month of the year in the Gregorian and Julian calendars.
`static final int`	`PM`	Value of the `getAmPm(Date)` method indicating the period of the day from noon to just before midnight.
`static final int`	`SATURDAY`	Value of the `getDayOfWeek(Date)` method indicating Saturday.
`static final int`	`SEPTEMBER`	Value of the `getMonth(Date)` method indicating the ninth month of the year in the Gregorian and Julian calendars.
`static final int`	`SUNDAY`	Value of the `getDayOfWeek(Date)` method indicating Sunday.
`static final int`	`THURSDAY`	Value of the `getDayOfWeek(Date)` method indicating Thursday.
`static final long`	`TIME_UNIT_DAY`	One of the possible time units.
`static final long`	`TIME_UNIT_HOUR`	One of the possible time units.
`static final long`	`TIME_UNIT_MILLISECOND`	One of the possible time units.
`static final long`	`TIME_UNIT_MINUTE`	One of the possible time units.
`static final long`	`TIME_UNIT_MONTH`	One of the possible time units.
`static final long`	`TIME_UNIT_SECOND`	One of the possible time units.
`static final long`	`TIME_UNIT_WEEK`	One of the possible time units.
`static final long`	`TIME_UNIT_YEAR`	One of the possible time units.
`static final int`	`TUESDAY`	Value of the `getDayOfWeek(Date)` method indicating Tuesday.
`static final int`	`UNDECIMBER`	Value of the `getMonth(Date)` method indicating the thirteenth month of the year.
`static final int`	`WEDNESDAY`	Value of the `getDayOfWeek(Date)` method indicating Wednesday.

Fields inherited from class com.anylogic.engine.Presentable

ALIGNMENT_CENTER, ALIGNMENT_LEFT, ALIGNMENT_RIGHT, ARROW_FILLED, ARROW_NONE, ARROW_THIN, CAD_ANTIALIASING, CAD_INVERTED, LINE_STYLE_DASHED, LINE_STYLE_DOTTED, LINE_STYLE_SOLID, SHAPE_DRAW_2D, SHAPE_DRAW_2D3D, SHAPE_DRAW_3D

Fields inherited from interface com.anylogic.engine.AgentConstants

AGENT_ORIENTATION_FRONT, AGENT_ORIENTATION_LEFT, AGENT_ORIENTATION_REAR, AGENT_ORIENTATION_RIGHT, ALL, ALL_CONNECTED, ALL_NEIGHBORS, AREA_ACCESS_RESTRICTION_BY_CAPACITY, AREA_ACCESS_RESTRICTION_BY_CONDITION, AREA_ACCESS_RESTRICTION_BY_SCHEDULE, AREA_ACCESS_RESTRICTION_BY_THROUGHPUT, AREA_ACCESS_RESTRICTION_MANUAL, CENTIMETER, CONVEYOR_BACKWARD, CONVEYOR_CUSTOM_STATION_AGENT_LOCATION_CENTER, CONVEYOR_CUSTOM_STATION_AGENT_LOCATION_NEAR_CONVEYOR, CONVEYOR_CUSTOM_STATION_AGENT_LOCATION_RANDOM, CONVEYOR_FORWARD, CONVEYOR_SIMPLE_STATION_DELAY_TYPE_MANUAL, CONVEYOR_SIMPLE_STATION_DELAY_TYPE_TIMEOUT, CONVEYOR_TYPE_BELT, CONVEYOR_TYPE_CELL, CONVEYOR_TYPE_ROLLER, CUBIC_METER, CUBIC_METER_PER_SECOND, CUSTOM_COLOR_SCHEME, DAY, DEG_PER_SECOND, DEGREE, DENSITY_VALUE_MAX, DENSITY_VALUE_MEAN, EAST, ELEVATOR_DIRECTION_DOWN, ELEVATOR_DIRECTION_NONE, ELEVATOR_DIRECTION_UP, ELEVATOR_DOOR_FRONT, ELEVATOR_DOOR_REAR, ELEVATOR_DOORS_FRONT, ELEVATOR_DOORS_FRONT_REAR, ELEVATOR_DOORS_FRONT_REAR_XJAL, ELEVATOR_DOORS_FRONT_XJAL, ELEVATOR_MOVEMENT_BY_SPEED, ELEVATOR_MOVEMENT_BY_TIME_PER_LEVEL, ELEVATOR_STATE_FAILED, ELEVATOR_STATE_IDLE, ELEVATOR_STATE_LOADING, ELEVATOR_STATE_MOVING, ESCALATOR_STAY_ALL, ESCALATOR_WALK_ALL, ESCALATOR_WALK_ON_LEFT_SIDE, ESCALATOR_WALK_ON_RIGHT_SIDE, EVENT_TIMEOUT_MODE_CYCLIC, EVENT_TIMEOUT_MODE_ONCE, EVENT_TIMEOUT_MODE_USER, EXCEEDED_QUEUE_CROWD_ROUND_AT_THE_END, EXCEEDED_QUEUE_EXTEND_TO_THE_FREE_SPACE, EXT_AGENT_CONTINUOUS, EXT_AGENT_DISCRETE, EXT_AGENT_GIS, EXT_AGENT_INTERACTIVE, EXT_AGENT_NETWORK, EXT_ENTITY, EXT_ENVIRONMENT_CONTINUOUS, EXT_ENVIRONMENT_DISCRETE, EXT_ENVIRONMENT_GIS, EXT_ENVIRONMENT_INTERACTIVE, EXT_SPACE, FLOW_STATISTICS_BOTH, FLOW_STATISTICS_LEFT, FLOW_STATISTICS_RIGHT, FOOT, FPM, FPS, FPS_SQ, HOUR, INCH, JIB_CRANE_CAT_HEAD, JIB_CRANE_FLAT_TOP, JIB_CRANE_INDUSTRIAL, JIB_CRANE_MOVEMENT_CONCURRENT, JIB_CRANE_MOVEMENT_STEP_BY_STEP, KILOGRAM, KILOGRAM_PER_SECOND, KILOMETER, KN, KPH, LIFT_PLATFORM_FLAT, LIFT_PLATFORM_ROLLER, LIFT_SELECTION_MODE_COMPARISON, LIFT_SELECTION_MODE_FIFO, LIFT_SELECTION_MODE_PRIORITY, LINEAR_COLOR_SCHEME, LITER, LITER_PER_SECOND, LOGARITHMIC_COLOR_SCHEME, METER, MILE, MILLIMETER, MILLISECOND, MINUTE, MONTH, MPH, MPS, MPS_SQ, NAUTICAL_MILE, NORTH, NORTHEAST, NORTHWEST, OBJECT_3D_INTERNAL_LIGHTING_GLOBAL, OBJECT_3D_INTERNAL_LIGHTING_INSIDE, OBJECT_3D_INTERNAL_LIGHTING_OFF, OBJECT_3D_XYZ_AXIS_ORDER, OBJECT_3D_YZX_AXIS_ORDER, OBJECT_3D_ZXY_AXIS_ORDER, OIL_BARREL, OIL_BARREL_PER_SECOND, OVERHEAD_CRANE_BRIDGE, OVERHEAD_CRANE_GANTRY, OVERHEAD_CRANE_GIRDER_DOUBLE_TIE, OVERHEAD_CRANE_GIRDER_SINGLE_FLAT, OVERHEAD_CRANE_MOVEMENT_CONCURRENT, OVERHEAD_CRANE_MOVEMENT_INDEPENDENT_HOIST, OVERHEAD_CRANE_MOVEMENT_STEP_BY_STEP, PALLET_RACK_LEFT_TO_RIGHT, PALLET_RACK_NO_DIRECTION, PALLET_RACK_RIGHT_TO_LEFT, PALLET_RACK_SINGLE_AISLE_LEFT, PALLET_RACK_SINGLE_AISLE_RIGHT, PALLET_RACK_TWO_AISLES, PALLET_RACK_TWO_PALLET_RACKS, PARKING_LOT_PARALLEL, PARKING_LOT_PERPENDICULAR, PATH_CONVEYOR, PATH_DASHEDLINE, PATH_LINE, PATH_RAILROAD, PATH_ROAD, PEDESTRIAN_MAP_TYPE, PER_DAY, PER_HOUR, PER_MILLISECOND, PER_MINUTE, PER_MONTH, PER_SECOND, PER_WEEK, PER_YEAR, POSITION_CHOICE_ARRANGED, POSITION_CHOICE_BY_ATTRACTORS, POSITION_CHOICE_RANDOM, RACK_PLACEMENT_BACK_TO_BACK, RACK_PLACEMENT_STAND_ALONE, RACK_TYPE_DRIVE_IN, RACK_TYPE_FIFO_FLOW, RACK_TYPE_LIFO_FLOW, RACK_TYPE_SELECTIVE, RAD_PER_SECOND, RADIAN, RAILWAY_SWITCH_ALL_TO_ALL, RAILWAY_SWITCH_DOUBLE_SLIP, RAILWAY_SWITCH_SINGLE_SLIP, RANDOM, RANDOM_CONNECTED, RANDOM_NEIGHBOR, ROAD_LEFT_HAND, ROAD_LINE_DOUBLE, ROAD_LINE_DOUBLE_DASHED, ROAD_LINE_SINGLE, ROAD_LINE_SINGLE_DASHED, ROAD_RIGHT_HAND, RPM, SECOND, SERVICE_GROUP_BEHAVIOR_DEPENDS_ON_INCOMING_GROUP, SERVICE_GROUP_BEHAVIOR_SAME_FOR_ALL_GROUPS, SERVICE_GROUP_INDIVIDUAL_SERVING, SERVICE_GROUP_ONE_MEMBER_IS_SERVED_OTHERS_WAIT_IN_AREA, SERVICE_GROUP_ONE_MEMBER_IS_SERVED_OTHERS_WAIT_IN_QUEUE, SERVICE_QUEUE_CLOSEST_NON_EMPTY, SERVICE_QUEUE_CLOSEST_STRICT, SERVICE_QUEUE_CUSTOM, SERVICE_QUEUE_LONGEST, SERVICE_QUEUE_NEXT_ROUND_ROBIN, SERVICE_QUEUE_PRIORITY, SERVICE_TYPE_LINEAR, SERVICE_TYPE_POINT, SIGNAL_GREEN, SIGNAL_NONE, SIGNAL_RED, SIGNAL_YELLOW, SIMPLE_STATION_LOADING_MODE_AFTER_UNLOADING, SIMPLE_STATION_LOADING_MODE_SIMULTANEOUS_WITH_UNLOADING, SIMPLE_STATION_PROCESSING_WHEN_AGENT_ENTERS, SIMPLE_STATION_PROCESSING_WHEN_CAPACITY_FULL, SOUTH, SOUTHEAST, SOUTHWEST, SPACE_CONTINUOUS, SPACE_CONTINUOUS_2D, SPACE_DISCRETE, SPACE_DISCRETE_2D, SPACE_GIS, SPACE_UNDEFINED, SQ_CENTIMETER, SQ_FOOT, SQ_INCH, SQ_KILOMETER, SQ_METER, SQ_MILE, SQ_MILLIMETER, SQ_NAUTICAL_MILE, SQ_YARD, TON, TON_PER_SECOND, TRANSFER_MODE_AUTOMATIC, TRANSFER_MODE_MANUAL, TRANSPORTER_MAP_TYPE, TURN, TURN_STATION_MODE_ANGLE, TURN_STATION_MODE_ORIENTATION, WALL_FILL_HATCHING, WALL_FILL_NONE, WALL_FILL_SOLID, WEEK, WEST, WINDOW_3D_NAVIGATION_FULL, WINDOW_3D_NAVIGATION_LIMITED_TO_Z_ABOVE_ZERO, WINDOW_3D_NAVIGATION_NONE, WINDOW_3D_NAVIGATION_ROTATION_ONLY, YARD, YEAR

Fields inherited from interface com.anylogic.engine.EnvironmentConstants

LAYOUT_ARRANGED, LAYOUT_RANDOM, LAYOUT_RING, LAYOUT_SPRING_MASS, LAYOUT_USER_DEFINED, NEIGHBORHOOD_EUCLIDEAN, NEIGHBORHOOD_MOORE, NETWORK_ALL_IN_RANGE, NETWORK_RANDOM, NETWORK_RING_LATTICE, NETWORK_SCALE_FREE, NETWORK_SMALL_WORLD, NETWORK_USER_DEFINED

Constructor Summary

Constructor	Description
`Utilities()`

Method Summary

Modifier and Type	Method	Description
`static Date`	`addToDate(Date date, int timeUnit, double amount)`	Returns the date, which will be after the given `amount` of `timeUnit`s from the given date e.g.
`static Date`	`addToDate(Date date, TimeUnits timeUnit, double amount)`	Returns the date, which will be after the given `amount` of `timeUnit`s from the given date e.g.
`static double`	`atan2fast(double y, double x)`	Returns the angle theta from the conversion of rectangular coordinates (x, y) to polar coordinates (r, theta).
`int`	`bernoulli(double p)`	Generates a sample of the Bernoulli distribution, i.e.
`static int`	`bernoulli(double p, Random r)`	Generates a sample of the Bernoulli distribution using the specified random number generator.
`double`	`beta(double p, double q)`	Generates a sample of the Beta distribution with `min` set to `0` and `max` set to `1`.
`double`	`beta(double p, double q, double min, double max)`	Generates a sample of the Beta distribution.
`double`	`beta(double min, double max, double p, double q, double shift, double stretch)`	Generates a sample of truncated Beta distribution. Distribution `beta(p, q, 0, 1)` is stretched by `stretch` coefficient, then shifted to the right by `shift`, after that it is truncated to fit in `[min, max]` interval.
`static double`	`beta(double min, double max, double p, double q, double shift, double stretch, Random r)`	Generates a sample of truncated Beta distribution using the specified random number generator. Distribution `beta(p, q, 0, 1)` is stretched by `stretch` coefficient, then shifted to the right by `shift`, after that it is truncated to fit in `[min, max]` interval.
`static double`	`beta(double p, double q, double min, double max, Random r)`	Generates a sample of the Beta distribution using the specified random number generator.
`int`	`binomial(double p)`	Generates a sample of the Binomial distribution with `n` set to `1`.
`double`	`binomial(double min, double max, double p, double n, double shift, double stretch)`	Generates a sample of truncated Binomial distribution. Distribution `binomial(p, n)` is stretched by `stretch` coefficient, then shifted to the right by `shift`, after that it is truncated to fit in `[min, max]` interval.
`static double`	`binomial(double min, double max, double p, double n, double shift, double stretch, Random r)`	Generates a sample of truncated Binomial distribution using the specified random number generator. Distribution `binomial(p, n)` is stretched by `stretch` coefficient, then shifted to the right by `shift`, after that it is truncated to fit in `[min, max]` interval.
`int`	`binomial(double p, int n)`	Generates a sample of the Binomial distribution.
`static int`	`binomial(double p, int n, Random r)`	Generates a sample of the Binomial distribution using the specified random number generator.
`static String`	`briefInfoOn(Object object)`	Returns a brief one-line textual information on the given object.
`<RT> RT`	`castNumberTypes(Number number, Class<RT> returnType)`
`<RT> RT`	`castTypes(Object result, Class<RT> returnType)`	Makes both implicit and explicit casts returnType might be equal to Object.class, then convertation will be done only based on result type like Timestamp -> Date
`Object`	`castTypesBack(Object value)`
`double`	`cauchy(double lambda)`	Generates a sample of the Cauchy distribution with `theta` set to `0`.
`double`	`cauchy(double lambda, double theta)`	Generates a sample of the Cauchy distribution.
`static double`	`cauchy(double lambda, double theta, Random r)`	Generates a sample of the Cauchy distribution using the specified random number generator.
`double`	`chi2(double nu)`	Generates a sample of the Chi Squared distribution with `min` set to `0`.
`double`	`chi2(double nu, double min)`	Generates a sample of the Chi Squared distribution.
`static double`	`chi2(double nu, double min, Random r)`	Generates a sample of the Chi Squared distribution using the specified random number generator.
`static MarkupSegment[]`	`convertMarkupSegmentDescriptors_xjal(MarkupSegmentDescriptor[] descriptors)`	This method is internal and shouldn't be called by user. it may be removed/renamed in future. It is public due to technical reasons.
`void`	`copyToClipboard(String text)`	Copies the given text to the system clipboard Due to the security policy of the browser, the actual copying may be preceded by a prompt.
`static void`	`copyToClipboard(List<List<Object>> table)`	Deprecated.
`static void`	`copyToClipboard(List<List<Object>> table, List<Integer> sqlTypes)`
`TableElementDatabaseBuilder`	`createTableElementDatabaseBuilder()`
`static float[]`	`createTrajectoryGIS(double lonFrom, double latFrom, double lonTo, double latTo, int numberOfSegments)`	Deprecated.
`static URL`	`createURL_xjal(String url)`	Creates an `URL` object from the `String` representation
`Date`	`date()`	Returns the current model date with respect to the start time/date and the model time unit.
`double`	`dateToTime(Date d)`	Converts the given date to model time with respect to the start date, start time and model time unit settings
`double`	`day()`	Returns a time value equal to 24-hour day according to the current time unit setting.
`DeleteQuery`	`deleteFrom(com.querydsl.sql.RelationalPathBase<?> table)`	Returns DeleteQuery that allows to build queries by chaining calls
`static double`	`difference(DataSet ds1, DataSet ds2)`	Difference function which is always not-negative and reflects difference between 2 given data sets in their common arguments range
`static double`	`difference(DataSet ds, TableFunction f)`	Difference function which is always not-negative and reflects difference between given data set and table function in their common arguments range
`double`	`differenceInCalendarUnits(TimeUnits timeUnit, double time1, double time2)`	Returns the difference `(time2 - time1)` between two model dates (corresponding to the given model times) in the given time units. Result is the number of date units that should be added to the model time `time1` to obtain `time2` The result may be negative and may have fractional part depending on the given dates.
`static double`	`differenceInCalendarUnits(TimeUnits timeUnit, Date date1, Date date2)`	Returns the difference `(date2 - date1)` between two dates in the given time units. Result is the number of time units that should be added to `date1` to obtain `date2` The result may be negative and may have fractional part depending on the given dates.
`double`	`differenceInDateUnits(int timeUnit, double time1, double time2)`	Deprecated.
`static double`	`differenceInDateUnits(int timeUnit, Date date1, Date date2)`	Deprecated.
`double`	`differenceInDateUnits(TimeUnits timeUnit, double time1, double time2)`	Deprecated. please use `differenceInCalendarUnits(TimeUnits, double, double)` instead
`static double`	`differenceInDateUnits(TimeUnits timeUnit, Date date1, Date date2)`	Deprecated. please use `differenceInCalendarUnits(TimeUnits, Date, Date)` instead
`static double`	`dirToAngle(CellDirection dir)`	Returns the angle value corresponding to the given direction
`static Date`	`dropTime(Date date)`	This utility method drops time-of-the-day information and returns the `date` with the time `00:00:00.000`
`double`	`erlang(double beta, int m)`	Generates a sample of the Erlang distribution with `min` set to 0.
`double`	`erlang(double beta, int m, double min)`	Generates a sample of the Erlang distribution.
`static double`	`erlang(double beta, int m, double min, Random r)`	Generates a sample of the Erlang distribution using the specified random number generator.
`RuntimeException`	`error(String errorText)`	Signals an error during the model run by throwing a RuntimeException with errorText preceded by the agent full name.
`RuntimeException`	`error(String errorTextFormat, Object... args)`	The same as `error(String)` but allows error format syntax like in `String.format(String, Object...)` method
`abstract RuntimeException`	`error(Throwable cause, String errorText)`	Signals an error during the model run by throwing a RuntimeException with errorText preceded by the agent full name.
`RuntimeException`	`error(Throwable cause, String errorTextFormat, Object... args)`	The same as `error(String)` but allows error format syntax like in `String.format(String, Object...)` method
`RuntimeException`	`errorInModel(String errorText)`	Signals an model logic error during the model run by throwing a ModelException with errorText preceded by the agent full name. This method differs from `error()` in the way of displaying error message: model logic errors are 'softer' than other errors, they use to happen in the models and signal the modeler that model might need some parameters adjustments.
`RuntimeException`	`errorInModel(String errorTextFormat, Object... args)`	The same as `errorInModel(String)` but allows error format syntax like in `String.format(String, Object...)` method This method differs from `error()` in the way of displaying error message: model logic errors are 'softer' than other errors, they use to happen in the models and signal the modeler that model might need some parameters adjustments.
`abstract RuntimeException`	`errorInModel(Throwable cause, String errorText)`	Signals an model logic error during the model run by throwing a ModelException with errorText preceded by the agent full name. This method differs from `error()` in the way of displaying error message: model logic errors are 'softer' than other errors, they use to happen in the models and signal the modeler that model might need some parameters adjustments.
`RuntimeException`	`errorInModel(Throwable cause, String errorTextFormat, Object... args)`	The same as `errorInModel(String)` but allows error format syntax like in `String.format(String, Object...)` method This method differs from `error()` in the way of displaying error message: model logic errors are 'softer' than other errors, they use to happen in the models and signal the modeler that model might need some parameters adjustments.
`void`	`executeAction(String code, Object... argDescriptors)`	Executes action.
`<T> T`	`executeExpression(Class<T> returnType, String code, Object... argDescriptors)`	Executes/evaluates the given code, e.g.
`<T> T`	`executeExpression(String code, Object... argDescriptors)`	Executes/evaluates the given code, e.g.
`int`	`executeStatement(String sql, Object... params)`	Executes insert, delete and update statements in AnyLogic database with given sql query string and parameters
`double`	`exponential()`	Generates a sample of the Exponential distribution with `lambda` set to `1` and `min` set to `0`.
`double`	`exponential(double lambda)`	Generates a sample of the Exponential distribution with `min` set to `0`.
`double`	`exponential(double lambda, double min)`	Generates a sample of the Exponential distribution.
`double`	`exponential(double min, double max, double shift, double stretch)`	Generates a sample of truncated Exponential distribution. Distribution `exponential(1, 0)` is stretched by `stretch` coefficient, then shifted to the right by `shift`, after that it is truncated to fit in `[min, max]` interval.
`static double`	`exponential(double min, double max, double shift, double stretch, Random r)`	Generates a sample of truncated Exponential distribution using the specified random number generator. Distribution `exponential(1, 0)` is stretched by `stretch` coefficient, then shifted to the right by `shift`, after that it is truncated to fit in `[min, max]` interval.
`static double`	`exponential(double lambda, double min, Random r)`	Generates a sample of the Exponential distribution using the specified random number generator.
`static String`	`findExistingFile(String filePath)`	This method is internal and shouldn't be called by user. it may be removed/renamed in future.
`static String`	`format(boolean value)`	Formats a boolean value
`static String`	`format(char value)`	Formats a character to `String`
`static String`	`format(double value)`	Formats a double value using the default AnyLogic formatter
`static String`	`format(double value, IUnits<?> units)`	Formats a double value with units, using the default AnyLogic formatter
`static String`	`format(int value)`	Formats an integer value using the default AnyLogic formatter
`static String`	`format(long value)`	Formats a long value using the default AnyLogic formatter
`static String`	`format(Date date)`	Formats a date using the default AnyLogic formatter
`static String`	`formatAmountUnits(double value, AmountUnits units)`	Converts value to required units and turns it into String
`static String`	`formatDayOfWeek(int dayOfWeek, boolean fullName)`	Returns the full or short name of the weekday
`static String`	`formatFlowRateUnits(double value, FlowRateUnits units)`	Converts value to required units and turns it into String
`static String`	`formatGeoHeading(double radians)`	Formats given heading angle (measured in radians CW, starting from North direction) as human-readable geographical heading (azimuth).
`static String`	`formatLatitude(double degrees)`	Formats latitude
`static String`	`formatLengthUnits(double value, LengthUnits units)`	Converts value to required units and turns it into String
`static String`	`formatLengthUnits(LengthUnits unit, boolean fullName)`	Returns the full or short name of the length units
`static String`	`formatLongitude(double degrees)`	Formats longitude
`static String`	`formatMonth(int month, boolean fullName)`	Returns the full or short name of the month
`static String`	`formatSpeedUnits(double value, SpeedUnits units)`	Converts value to required units and turns it into String
`String`	`formatTimeInterval(double dt)`	Returns a string representation of a given time interval, according to the current time unit settings, in the form 123 days 21h 0'56".
`double`	`gamma(double alpha, double beta)`	Generates a sample of the Gamma distribution with `min` set to `0`.
`double`	`gamma(double alpha, double beta, double min)`	Generates a sample of the Gamma distribution.
`double`	`gamma(double min, double max, double alpha, double shift, double stretch)`	Generates a sample of truncated Gamma distribution. Distribution `gamma(alpha, 1, 0)` is stretched by `stretch` coefficient, then shifted to the right by `shift`, after that it is truncated to fit in `[min, max]` interval.
`static double`	`gamma(double min, double max, double alpha, double shift, double stretch, Random r)`	Generates a sample of truncated Gamma distribution using the specified random number generator. Distribution `gamma(alpha, 1, 0)` is stretched by `stretch` coefficient, then shifted to the right by `shift`, after that it is truncated to fit in `[min, max]` interval.
`static double`	`gamma(double alpha, double beta, double min, Random r)`	Generates a sample of the Gamma distribution using the specified random number generator.
`static double`	`gammaLog(double x)`	Returns the natural logarithm of the gamma function of `x`: `ln(Γ(x))`. The gamma function is an extension of the factorial function that works on all positive values of `x`. If `n` is a positive integer, then: `Γ(n) = (n - 1)!`. The `gammaLog` function may be useful in System Dynamics models for computing combinatorial factors.
`int`	`geometric(double p)`	Generates a sample of the Geometric distribution.
`static int`	`geometric(double p, Random r)`	Generates a sample of the Geometric distribution using the specified random number generator.
`int`	`getAmPm()`	Indicates whether the hour of the current model date with respect to the start time/date and the model time unit is before (`AM`) or after (`PM`) noon. This method is used for the 12-hour clock. E.g., at 10:04:15.250 PM the result is `PM`.
`static int`	`getAmPm(Date date)`	Indicates whether the hour of the given `date` is before (`AM`) or after (`PM`) noon. This method is used for the 12-hour clock. E.g., at 10:04:15.250 PM the result is `PM`.
`static String`	`getCanonicalPath(File file)`	This method is internal and shouldn't be called by user. it may be removed/renamed in future. Tries getting canonical path for the given file, on any error return absolute path
`Connection`	`getDatabaseConnection()`	Returns connection to AnyLogic database
`static Date`	`getDateWithTimeNextTo(Date date, int hourOfDay, int minute, int second)`	Returns the date which the next date after the given `date` and has the specified time (in the default time zone)
`int`	`getDayOfMonth()`	Returns the day of the month of the current model date with respect to the start time/date and the model time unit. The first day of the month has value 1.
`static int`	`getDayOfMonth(Date date)`	Returns the day of the month of the given `date`. The first day of the month has value 1.
`int`	`getDayOfWeek()`	Returns the day of the week of the current model date with respect to the start time/date and the model time unit. Returned value is one of: `SUNDAY` `MONDAY` `TUESDAY` `WEDNESDAY` `THURSDAY` `FRIDAY` `SATURDAY`
`static int`	`getDayOfWeek(Date date)`	Returns the day of the week of the given `date`. Returned value is one of: `SUNDAY` `MONDAY` `TUESDAY` `WEDNESDAY` `THURSDAY` `FRIDAY` `SATURDAY`
`static int`	`getDayOfYear(Date date)`	Returns the day of the year of the given `date`. The first day of the year has value 1.
`Random`	`getDefaultRandomGenerator()`	Retrieves the random number generator used by all probability distributions by default, i.e.
`static final double`	`getDistance(double x1, double y1, double x2, double y2)`	Returns the distance between two given points `(x1, y1)` and `(x2, y2)`
`static final double`	`getDistance(double x1, double y1, double z1, double x2, double y2, double z2)`	Returns the distance between two given points `(x1, y1, z1)` and `(x2, y2, z2)`
`static final double`	`getDistanceFromPointToLine(double x1, double y1, double x2, double y2, double px, double py)`	Returns the distance from a point to a line.
`static final double`	`getDistanceFromPointToLineSq(double x1, double y1, double x2, double y2, double px, double py)`	Returns the square of the distance from a point to a line.
`static final double`	`getDistanceFromPointToSegment(double x1, double y1, double x2, double y2, double px, double py)`	Returns the distance from a point to a line segment.
`static final double`	`getDistanceFromPointToSegment(double x1, double y1, double z1, double x2, double y2, double z2, double px, double py, double pz)`	Returns the distance from a point to a line segment.
`static final double`	`getDistanceFromPointToSegmentSq(double x1, double y1, double x2, double y2, double px, double py)`	Returns the square of the distance from a point to a line segment.
`static final double`	`getDistanceFromPointToSegmentSq(double x1, double y1, double z1, double x2, double y2, double z2, double px, double py, double pz)`	Returns the square of the distance from a point to a line segment.
`static double`	`getDistanceGIS(double latitude1, double longitude1, double latitude2, double longitude2)`	Returns the distance measured in meters between two given points
`static double`	`getDistanceGIS(double latitude1, double longitude1, double latitude2, double longitude2, LengthUnits units)`	Returns the distance measured in meters between two given points
`static final double`	`getDistanceSq(double x1, double y1, double x2, double y2)`	Returns the square of the distance between two given points `(x1, y1)` and `(x2, y2)`. This method is useful for comparing different distances, finding nearest point etc.
`static final double`	`getDistanceSq(double x1, double y1, double z1, double x2, double y2, double z2)`	Returns the square of the distance between two given points `(x1, y1, z1)` and `(x2, y2, z2)`. This method is useful for comparing different distances, finding nearest point etc.
`static String`	`getFullName(Agent agent)`	Returns the name of the agent prefixed by the path from the top-level agent to this one.
`int`	`getHour()`	Returns the hour of the morning or afternoon of the current model date with respect to the start time/date and the model time unit. This method is used for the 12-hour clock. Noon and midnight are represented by 0, not by 12. E.g., at 10:04:15.250 PM the result is 10.
`static int`	`getHour(Date date)`	Returns the hour of the morning or afternoon of the given `date`. This method is used for the 12-hour clock. Noon and midnight are represented by 0, not by 12. E.g., at 10:04:15.250 PM the result is 10.
`int`	`getHourOfDay()`	Returns the hour of day of the current model date with respect to the start time/date and the model time unit. This method is used for the 24-hour clock. E.g., at 10:04:15.250 PM the result is 22.
`static int`	`getHourOfDay(Date date)`	Returns the hour of day of the given `date`. This method is used for the 24-hour clock. E.g., at 10:04:15.250 PM the result is 22.
`static final double`	`getLength(double dx, double dy)`	Returns the length of the vector `(dx, dy)`
`static final double`	`getLength(double dx, double dy, double dz)`	Returns the length of the vector `(dx, dy, dz)`
`static final double`	`getLengthSq(double dx, double dy)`	Returns the square of length of the vector `(dx, dy)`
`static final double`	`getLengthSq(double dx, double dy, double dz)`	Returns the square of length of the vector `(dx, dy, dz)`
`int`	`getMillisecond()`	Returns the millisecond within the second of the current model date with respect to the start time/date and the model time unit. E.g., at 10:04:15.250 PM the result is 250.
`static int`	`getMillisecond(Date date)`	Returns the millisecond within the second of the given `date`. E.g., at 10:04:15.250 PM the result is 250.
`int`	`getMinute()`	Returns the minute within the hour of the current model date with respect to the start time/date and the model time unit. E.g., at 10:04:15.250 PM the result is 4.
`static int`	`getMinute(Date date)`	Returns the minute within the hour of the given `date`. E.g., at 10:04:15.250 PM the result is 4.
`int`	`getMonth()`	Returns the month of the current model date with respect to the start time/date and the model time unit. This is a calendar-specific value. The first month of the year in the Gregorian and Julian calendars is `JANUARY` which is 0; the last depends on the number of months in a year. Possible values: `JANUARY` `FEBRUARY` `MARCH` `APRIL` `MAY` `JUNE` `JULY` `AUGUST` `SEPTEMBER` `OCTOBER` `NOVEMBER` `DECEMBER`
`static int`	`getMonth(Date date)`	Returns the month of the given `date`. This is a calendar-specific value. The first month of the year in the Gregorian and Julian calendars is `JANUARY` which is 0; the last depends on the number of months in a year. Possible values: `JANUARY` `FEBRUARY` `MARCH` `APRIL` `MAY` `JUNE` `JULY` `AUGUST` `SEPTEMBER` `OCTOBER` `NOVEMBER` `DECEMBER`
`static String`	`getName(Agent agent)`	Returns the name of the agent or `null` if the given agent is null. This is a convenient function for formatting name of some agent when it may be `null`.
`static final Point`	`getNearestPointOnSegment(Point out, double x1, double y1, double x2, double y2, double px, double py)`	Finds a point on a segment that is closest to a given point.
`static final Point`	`getNearestPointOnSegment(Point out, double x1, double y1, double z1, double x2, double y2, double z2, double px, double py, double pz)`	Finds a point on a segment that is closest to a given point.
`static int`	`getPerformanceParallelWorkersCount_xjal()`	Returns number of processors (threads) when running parallel (multi-thread) experiments (with multiple runs) and some other features supporting parallel execution. To get the number of processors reported by Java virtual machine, please use `Runtime.getRuntime().availableProcessors()` Please note that both methods shouldn't be generally used in the model logic because their results are inpredictable, not reproducible and depend on the underlying machine and AnyLogic installation
`<T> T`	`getRandom(Collection<T> collection)`	Same as `#randomFrom(Collection)`
`static <T> T`	`getRandom(Collection<T> collection, Random r)`	Same as `#randomFrom(Collection, Random)`
`<T> T`	`getResult(boolean cached, boolean mustBeUnique, Class<T> returnType, String sql, Object... params)`	This method is internal and shouldn't be called by user. it may be removed/renamed in future.
`int`	`getSecond()`	Returns the second within the minute of the current model date with respect to the start time/date and the model time unit. E.g., at 10:04:15.250 PM the result is 15.
`static int`	`getSecond(Date date)`	Returns the second within the minute of the given `date`. E.g., at 10:04:15.250 PM the result is 15.
`double`	`getTime()`	Deprecated. Use `time()` instead
`double`	`getTimeoutToNextTime(int hourOfDay, int minute, int second)`	Returns timeout, in model time units, to the nearest date which will have the specified in-day time (in the default time zone)
`int`	`getYear()`	Returns the year of the current model date with respect to the start time/date and the model time unit. This is a calendar-specific value
`static int`	`getYear(Date date)`	Returns the year of the given `date`. This is a calendar-specific value
`double`	`gumbel1(double a, double b)`	Generates a sample of the Type I Gumbel distribution. This distribution has the form `p(x) = a b exp(-(b exp(-ax) + ax))`
`static double`	`gumbel1(double a, double b, Random r)`	Generates a sample of the Type I Gumbel distribution using the specified random number generator.
`double`	`gumbel2(double a, double b)`	Generates a sample of the Type II Gumbel distribution. This distribution has the form `p(x) = b a x^-(a+1) exp(-b x^-a))`
`static double`	`gumbel2(double a, double b, Random r)`	Generates a sample of the Type II Gumbel distribution using the specified random number generator.
`double`	`hour()`	Returns a time value equal to one hour according to the current time unit setting.
`int`	`hypergeometric(int ss, int dn, int ps)`	Generates a sample of the Hypergeometric distribution.
`static int`	`hypergeometric(int ss, int dn, int ps, Random r)`	Generates a sample of the Hypergeometric distribution using the specified random number generator.
`InsertQuery`	`insertInto(com.querydsl.sql.RelationalPathBase<?> table)`	Returns InsertQuery that allows to build queries by chaining calls
`static String`	`inspectOf(Object object)`	Returns a textual info on the object that can be displayed in the multi-line Inspect window.
`static String`	`inspectOfLink_xjal(Object object)`	This method is internal and shouldn't be called by user. it may be removed/renamed in future.
`static boolean`	`isFinite(double v)`	Returns `true` if the given value is finite (not +/-infinity or NaN)
`static final boolean`	`isLineIntersectingLine(double x1, double y1, double x2, double y2, double x3, double y3, double x4, double y4)`	Tests if the line segment from `(x1,y1)` to `(x2,y2)` intersects the line segment from `(x3,y3)` to `(x4,y4)`.
`static final boolean`	`isLineIntersectingRectangle(double x1, double y1, double x2, double y2, double rx, double ry, double rw, double rh)`	Check if the line intersects the given rectangle
`boolean`	`isLoggingClassToDB(LoggingType loggingType)`	Returns `true` if this agent type with all internals may log their data/changes/activity to AnyLogic built-in database (logging options are configurable in the properties of Database / Log in the Projects tree inside AnyLogic)
`boolean`	`isLoggingToDB(LoggingType loggingType)`	Returns `true` if this agent and its internals may log their data/changes/activity to AnyLogic built-in database (logging options are configurable in the properties of Database / Log in the Projects tree inside AnyLogic)
`static final boolean`	`isPointInsideRay(double x1, double y1, double x2, double y2, double px, double py)`	Tests if the specified point is inside the given ray.
`static final boolean`	`isPointInsideRectangle(double rx, double ry, double rw, double rh, double px, double py)`	Tests if the specified point is inside the given rectangle.
`static final boolean`	`isPointInsideSegment(double x1, double y1, double x2, double y2, double px, double py)`	Tests if the specified point is inside the given segment.
`static final boolean`	`isPointOnTheSameLine(double x1, double y1, double x2, double y2, double x3, double y3)`	Tests if the three point lie on the same line
`static final boolean`	`isRayIntersectingSegment(double rx1, double ry1, double rx2, double ry2, double sx1, double sy1, double sx2, double sy2)`	Tests if the ray from `(rx1,ry1)` in direction to `(rx2,ry2)` intersects the line segment from `(lx1,ly1)` to `(lx2,ly2)`.
`static int[]`	`joinArrays_xjal(boolean replaceAlways, boolean replaceWithNotEmpty, int[] a1, int[] a2)`	This method is internal and isn't intended to be called by user (may be removed in future releases)
`double`	`laplace(double phi, double theta)`	Generates a sample of the Laplace distribution.
`static double`	`laplace(double phi, double theta, Random r)`	Generates a sample of the Laplace distribution using the specified random number generator.
`static String`	`layoutTypeToString(LayoutType layoutType)`	Deprecated. please use `LayoutType.formatName()` instead
`static double`	`limit(double min, double x, double max)`	Returns x if it is within [min,max] interval, otherwise returns the closest bound.
`static int`	`limit(int min, int x, int max)`	Returns x if it is within [min,max] interval, otherwise returns the closest bound.
`static double`	`limitMax(double x, double max)`	Returns x if it is less or equal to max, otherwise returns max.
`static int`	`limitMax(int x, int max)`	Returns x if it is less or equal to max, otherwise returns max.
`static double`	`limitMin(double min, double x)`	Returns x if it is greater or equal to min, otherwise returns min.
`static int`	`limitMin(int min, int x)`	Returns x if it is greater or equal to min, otherwise returns min.
`int`	`logarithmic(double theta)`	Generates a sample of the Logarithmic distribution.
`static int`	`logarithmic(double theta, Random r)`	Generates a sample of the Logarithmic distribution using the specified random number generator.
`double`	`logistic(double beta, double alpha)`	Generates a sample of the Logistic distribution.
`static double`	`logistic(double beta, double alpha, Random r)`	Generates a sample of the Logistic distribution using the specified random number generator.
`double`	`lognormal(double mu, double sigma, double min)`	Generates a sample of the Lognormal distribution.
`static double`	`lognormal(double mu, double sigma, double min, Random r)`	Generates a sample of the Lognormal distribution using the specified random number generator.
`void`	`logToDB(DataSet dataSet, String name)`	Writes the given element to the corresponding log table of model database. If logging is enabled this method should be called in `#onDestroy()` method
`void`	`logToDB(HistogramData histogramData, String name)`	Writes the given element to the corresponding log table of model database. If logging is enabled this method should be called in `#onDestroy()` method
`void`	`logToDB(StatisticsContinuous statistics, String name)`	Writes the given element to the corresponding log table of model database. If logging is enabled this method should be called in `#onDestroy()` method
`void`	`logToDB(StatisticsDiscrete statistics, String name)`	Writes the given element to the corresponding log table of model database. If logging is enabled this method should be called in `#onDestroy()` method
`double`	`millisecond()`	Returns a time value equal to one millisecond according to the current time unit setting.
`double`	`minute()`	Returns a time value equal to one minute according to the current time unit setting.
`double`	`month()`	Returns a time value equal to 30 days according to the current time unit setting.
`int`	`negativeBinomial(double p, double n)`	Generates a sample of the Negative Binomial distribution.
`double`	`negativeBinomial(double min, double max, double p, double n, double shift, double stretch)`	Generates a sample of truncated Negative Binomial distribution. Distribution `negativeBinomial(p, n)` is stretched by `stretch` coefficient, then shifted to the right by `shift`, after that it is truncated to fit in `[min, max]` interval.
`static double`	`negativeBinomial(double min, double max, double p, double n, double shift, double stretch, Random r)`	Generates a sample of truncated Negative Binomial distribution using the specified random number generator. Distribution `negativeBinomial(p, n)` is stretched by `stretch` coefficient, then shifted to the right by `shift`, after that it is truncated to fit in `[min, max]` interval.
`static int`	`negativeBinomial(double p, double n, Random r)`	Generates a sample of the Negative Binomial distribution using the specified random number generator.
`double`	`normal()`	Generates a sample of the Normal distribution with `mean` set to `0` and `sigma` set to `1`.
`double`	`normal(double sigma)`	Generates a sample of the Normal distribution with `mean` set to `0`.
`double`	`normal(double sigma, double mean)`	Generates a sample of the Normal distribution.
`double`	`normal(double min, double max, double shift, double stretch)`	Generates a sample of truncated Normal distribution. Distribution `normal(1, 0)` is stretched by `stretch` coefficient, then shifted to the right by `shift`, after that it is truncated to fit in `[min, max]` interval.
`static double`	`normal(double min, double max, double shift, double stretch, Random r)`	Generates a sample of truncated Normal distribution using the specified random number generator. Distribution `normal(1, 0)` is stretched by `stretch` coefficient, then shifted to the right by `shift`, after that it is truncated to fit in `[min, max]` interval.
`static double`	`normal(double sigma, double mean, Random r)`	Generates a sample of the Normal distribution using the specified random number generator.
`double`	`pareto(double alpha)`	Generates a sample of the Pareto distribution with `min` set to `1`.
`double`	`pareto(double alpha, double min)`	Generates a sample of the Pareto distribution.
`static double`	`pareto(double alpha, double min, Random r)`	Generates a sample of the Pareto distribution using the specified random number generator.
`double`	`pert(double min, double max, double mode)`	Generates a sample of the PERT distribution.
`static double`	`pert(double min, double max, double mode, Random r)`	Generates a sample of the PERT distribution using the specified random number generator.
`int`	`poisson(double lambda)`	Generates a sample of the Poisson distribution.
`double`	`poisson(double min, double max, double mean, double shift, double stretch)`	Generates a sample of truncated Poisson distribution. Distribution `poisson(mean)` is stretched by `stretch` coefficient, then shifted to the right by `shift`, after that it is truncated to fit in `[min, max]` interval.
`static double`	`poisson(double min, double max, double mean, double shift, double stretch, Random r)`	Generates a sample of truncated Poisson distribution using the specified random number generator. Distribution `poisson(mean)` is stretched by `stretch` coefficient, then shifted to the right by `shift`, after that it is truncated to fit in `[min, max]` interval.
`static int`	`poisson(double lambda, Random r)`	Generates a sample of the Poisson distribution using the specified random number generator.
`static void`	`prepareBeforeExperimentStart_xjal(Class<?> experimentClass)`	This method is internal and isn't intended to be called by user (may be removed in future releases)
`PreparedStatement`	`prepareStatement(String sql, Object... params)`	Creates a `PreparedStatement` object (which may be used to executes insert, delete and update statements in AnyLogic database) with the given SQL query string and and fills in the given objects as parameters. Objects passed as parameters are converted automatically to match database format (e.g.
`double`	`pulse(double startTime, double pulseWidth)`	Returns `1`, starting at `startTime`, and lasting for interval `pulseWidth`; `0` is returned at all other times.
`double`	`pulseTrain(double startTime, double pulseWidth, double timeBetweenPulses, double endTime)`	Returns `1`, starting at `startTime`, and lasting for interval `pulseWidth` and then repeats this pattern every `timeBetweenPulses` time until `endTime`; `0` is returned at all other times. If the value of `timeBetweenPulses` is smaller than `pulseWidth` then `1` will be returned between `startTime` and `endTime`.
`static double`	`quantum(double value, double quantizer)`	Returns the number smaller (by absolute value) than or equal to `value` that is an integer multiple of `quantizer`. If `quantizer` is less than or equal to zero, then `value` is returned unchanged. For example, `quantum(PI, 0.01)` will return `3.14`
`double`	`ramp(double slope, double startTime, double endTime)`	Returns `0` until the `startTime` and then slopes upward until `endTime` and then holds constant.
`double`	`random()`	Generates a random value uniformly distributed on the interval [0,1), the upper bound is not included. Please use `uniform()` function (has the same logic) instead, for not to get in confusion with `Math.random()` function (the latter shouldn't be used in models because it doesn't utilize random number generator of Engine and will result in not reproducible model runs).
`Color`	`randomColor()`	Returns random standard color, one of possible standard colors
`boolean`	`randomFalse(double p)`	Generates `false` with the given probability `p`.
`static boolean`	`randomFalse(double p, Random r)`	Generates `false` with the given probability `p` using the specified random number generator. For more details see `randomFalse(double)`
`<T extends Enum<T>> T`	`randomFrom(Class<T> enumeration)`	Returns the randomly chosen enumeration constant. Throws `NullPointerException` if the given class is `null` or not an enumeration class
`static <T extends Enum<T>> T`	`randomFrom(Class<T> enumeration, Random r)`	Returns the randomly chosen enumeration constant.
`<T> T`	`randomFrom(Iterable<T> collection)`	Returns the randomly chosen element of the given collection. For empty collections return `null`. This result of this method is an equivalent of calling: `collection.get( uniform_discr( collection.size() - 1 ) )`
`static <T> T`	`randomFrom(Iterable<T> collection, Random r)`	Returns the randomly chosen element of the given collection.
`<T> T`	`randomFrom(T[] array)`	Returns the randomly chosen element of the given array. This result of this method is an equivalent of calling: `array[ uniform_discr( array.length - 1 ) ]`
`static <T> T`	`randomFrom(T[] array, Random r)`	Returns the randomly chosen element of the given array.
`<T> T`	`randomlyCreate(Class<? extends T>... classes)`	Creates a randomly chosen object using one of the given constructors.
`<T> T`	`randomlyCreate(Supplier<? extends T>... constructors)`	Creates a randomly chosen object using one of the given constructors.
`static <T> T`	`randomlyCreate(Random r, Class<? extends T>... classes)`	Creates a randomly chosen object using one of the given constructors.
`static <T> T`	`randomlyCreate(Random r, Supplier<? extends T>... constructors)`	Creates a randomly chosen object using one of the given constructors.
`boolean`	`randomTrue(double p)`	Generates `true` with the given probability `p`.
`static boolean`	`randomTrue(double p, Random r)`	Generates `true` with the given probability `p` using the specified random number generator. For more details see `randomTrue(double)`
`<T> T`	`randomWhere(Iterable<T> collection, Predicate<T> condition)`	Returns the randomly chosen element of the given collection which meets the given condition. For empty collections return `null`.
`static <T> T`	`randomWhere(Iterable<T> collection, Predicate<T> condition, Random r)`	Returns the randomly chosen element of the given collection which meets the given condition.
`<T> T`	`randomWhere(T[] array, Predicate<T> condition)`	Returns the randomly chosen element of the given array which meets the given condition.
`static <T> T`	`randomWhere(T[] array, Predicate<T> condition, Random r)`	Returns the randomly chosen element of the given array which meets the given condition.
`double`	`rayleigh(double sigma)`	Generates a sample of the Rayleigh distribution with `min` set to `0`.
`double`	`rayleigh(double sigma, double min)`	Generates a sample of the Rayleigh distribution.
`static double`	`rayleigh(double sigma, double min, Random r)`	Generates a sample of the Rayleigh distribution using the specified random number generator.
`static double`	`roundToDecimal(double v, int nDecimalDigits)`	Rounds the value to the given precision.
`static int`	`roundToInt(double v)`	Returns `int` closest to the given value.
`double`	`second()`	Returns a time value equal to one second according to the current time unit setting.
`int`	`selectAndDoForEach(Consumer<ResultSet> action, String sql, Object... params)`	Perform some action with each of results for the given sql and params. Example:
`double[]`	`selectArrayOfDouble(String sql, Object... params)`	Returns the array of numbers from the first column returned by the given sql and params.
`int[]`	`selectArrayOfInt(String sql, Object... params)`	Returns the array of numbers from the first column returned by the given sql and params.
`boolean`	`selectExists(boolean cached, String sql, Object... params)`	Returns `true` if the given sql and params returns at least one result This function caches its results, to speed up default behavior Use selectExists(false, sql, params) to get non cached result every time
`boolean`	`selectExists(String sql, Object... params)`	Returns `true` if the given sql and params returns at least one result This function caches its results, to speed up default behavior Use selectExists(false, sql, params) to get non cached result every time
`<T> T`	`selectFirstValue(boolean cached, Class<T> returnType, String sql, Object... params)`	Returns first result for given sql and params or null if no result is found This function caches its results, to speed up default behavior Use selectFirstValue(false, returnType, sql, params) to get non cached result every time
`<T> T`	`selectFirstValue(boolean cached, String sql, Object... params)`	Returns first result for given sql and params or null if no result is found
`<T> T`	`selectFirstValue(Class<T> returnType, String sql, Object... params)`	Returns first result for given sql and params or null if no result is found This function caches its results, to speed up default behavior Use selectFirstValue(false, returnType, sql, params) to get non cached result every time
`<T> T`	`selectFirstValue(String sql, Object... params)`	Returns first result for given sql and params or null if no result is found This function caches its results, to speed up default behavior Use selectFirstValue(false, sql, params) to get non cached result every time
`SelectQuery`	`selectFrom(com.querydsl.sql.RelationalPathBase<?> table)`	Returns SelectQuery that allows to build queries by chaining calls
`ResultSet`	`selectResultSet(String sql, Object... params)`	Get the results as a result set object for the given sql and params
`TableFunction`	`selectTableFunction(TableFunction tableFunction, String sql, Object... params)`	Executes the given SELECT query which should return data in 2 columns: the first column contains arguments numbers, the second column contains values numbers.
`<T> T`	`selectUniqueValue(boolean cached, Class<T> returnType, String sql, Object... params)`	Returns an unique result for given sql and params This function caches its results, to speed up default behavior Use selectUniqueValue(false, returnType, sql, params) to get non cached result every time
`<T> T`	`selectUniqueValue(boolean cached, String sql, Object... params)`	Returns an unique result for given sql and params This function caches its results, to speed up default behavior Use selectUniqueValue(false, sql, params) to get non cached result every time
`<T> T`	`selectUniqueValue(Class<T> returnType, String sql, Object... params)`	Returns an unique result for given sql and params This function caches its results, to speed up default behavior Use selectUniqueValue(false, returnType, sql, params) to get non cached result every time
`<T> T`	`selectUniqueValue(String sql, Object... params)`	Returns an unique result for given sql and params This function caches its results, to speed up default behavior Use selectUniqueValue(false, sql, params) to get non cached result every time
`<T> List<T>`	`selectValues(Class<T> returnType, String sql, Object... params)`	List the results for given sql and params Given sql query must return single column An empty list is returned for no results
`<T> List<T>`	`selectValues(String sql, Object... params)`	List the results for given sql and params Given sql query must return single column An empty list is returned for no results
`void`	`setDefaultRandomGenerator(Random r)`	Sets the random number generator used by all probability distributions by default, i.e.
`void`	`shuffle(List<?> list)`	Randomly permutes the specified list.
`<T> T`	`sqlGetObject(ResultSet rs, int index, Class<T> returnType)`	Gets values from AnyLogic wrapper for ResultSet in given position
`<T> T`	`sqlGetObject(ResultSet rs, String columnLabel, Class<T> returnType)`	Gets values from AnyLogic wrapper for ResultSet in given position
`<T> T`	`sqlGetObject(ResultSet rs, int index, Class<T> returnType)`	Gets values from ResultSet in given position
`<T> T`	`sqlGetObject(ResultSet rs, String columnLabel, Class<T> returnType)`	Gets values from ResultSet in given position
`void`	`sqlSetObject(PreparedStatement st, int index, Object object)`	Sets parameter for preparedStatement in given index position with given value
`static final double`	`sqr(double v)`	Returns the square of the given value (`v²`)
`double`	`step(double height, double stepTime)`	Returns `0` until the `stepTime` and then returns `height`
`double`	`time()`	Returns the current model (logical) time.
`double`	`time(TimeUnits units)`	Returns the current model (logical) time.
`Date`	`timeToDate(double t)`	Converts the given model time to date with respect to the start date, start time and model time unit settings, null if the time is infinity.
`static Double[]`	`toBoxedDouble_xjal(double[] array)`
`static Date`	`toDate(int year, int month, int day)`	Returns the date in the default time zone with given field values and the time set to a midnight.
`static Date`	`toDate(int year, int month, int day, int hourOfDay, int minute, int second)`	Returns the date in the default time zone with given field values.
`static Date`	`toDate(String dateFormat, String text)`	Parses the date from the given string using date format pattern.
`static long`	`toDateInMillis(int year, int month, int day, int hourOfDay, int minute, int second)`	Same as `toDate(int, int, int, int, int, int)` but returns the date in its milliseconds representation (see `Date.getTime()`), i.e.
`static double`	`toLatitude(int degrees, int minutes, double seconds, boolean northOrSouth)`	Converts latitude from human-readable format (e.g.
`static double`	`toLongitude(int degrees, int minutes, double seconds, boolean eastOrWest)`	Converts longitude from human-readable format (e.g.
`double`	`toModelRate(double value, RateUnits units)`	Converts the given rate (in rate units) to units based on model time units (used e.g.
`double`	`toModelTime(double value, TimeUnits units)`	Converts the given timeout (in units) to model time units (used e.g.
`double`	`toRateUnits(double modelRateValue, RateUnits units)`	Converts the rate (in units based on model time units) to the given units
`static String`	`toStringAlignedNameValues(int minNameLength, Object... nameValueRows)`
`double`	`toTimeout(int timeUnit, double amount)`	Deprecated.
`double`	`toTimeout(TimeUnits timeUnit, double amount)`	Deprecated. please use `toTimeoutInCalendar(TimeUnits, double)` instead
`double`	`toTimeoutInCalendar(TimeUnits timeUnit, double amount)`	Returns timeout, in model time units, which equals to the given `amount` of `timeUnit`s from current model date e.g.
`double`	`toTimeUnits(double modelTimeValue, TimeUnits units)`	Converts the timeout (in model time units) to the given units
`static void`	`trace(Object o)`	Prints a string representation of an object to the standard output stream.
`static void`	`trace(String textFormat, Object... args)`	The same as `trace(Object)` but allows text format syntax like in `String.format(String, Object...)` method
`static void`	`traceln()`	Prints a line delimiter to the standard output stream.
`static void`	`traceln(Color color, Object o)`	Prints a string representation of an object with a line delimiter at the end to the standard output stream.
`static void`	`traceln(Color color, String textFormat, Object... args)`	The same as `traceln(Object)` but allows text format syntax like in `String.format(String, Object...)` method.
`static void`	`traceln(Object o)`	Prints a string representation of an object with a line delimiter at the end to the standard output stream.
`static void`	`traceln(String textFormat, Object... args)`	The same as `traceln(Object)` but allows text format syntax like in `String.format(String, Object...)` method
`void`	`traceToDB(Object o)`	Prints a string representation of an object with a line delimiter at the end to the standard output stream.
`void`	`traceToDB(String textFormat, Object... args)`	The same as `traceln(Object)` but allows text format syntax like in `String.format(String, Object...)` method
`double`	`triangular(double min, double max)`	Generates a sample of the Triangular distribution with `mode` set to `(min + max)/2`.
`double`	`triangular(double min, double max, double mode)`	Generates a sample of the Triangular distribution.
`double`	`triangular(double min, double max, double left, double mode, double right)`	Generates a sample of truncated Triangular distribution. Distribution `triangular(left, right, mode)` is stretched by `stretch` coefficient, then shifted to the right by `shift`, after that it is truncated to fit in `[min, max]` interval.
`static double`	`triangular(double min, double max, double left, double mode, double right, Random r)`	Generates a sample of truncated Triangular distribution using the specified random number generator. Distribution `triangular(left, right, mode)` is stretched by `stretch` coefficient, then shifted to the right by `shift`, after that it is truncated to fit in `[min, max]` interval.
`static double`	`triangular(double min, double max, double mode, Random r)`	Generates a sample of the Triangular distribution using the specified random number generator.
`double`	`triangularAV(double average, double variability)`	Generates a sample of the Triangular distribution with `mode` set to `average`. Defines distribution in the form like "roughly this, +/-20%". Is equivalent to `triangular( average * (1 - variability), average * (1 + variability) )` .
`static double`	`triangularAV(double average, double variability, Random r)`	Generates a sample of the Triangular distribution with `mode` set to `average`. Defines distribution in the form like "roughly this, +/-20%". Is equivalent to `triangular( average * (1 - variability), average * (1 + variability) )` .
`double`	`uniform()`	Generates a random value uniformly distributed on the interval [0,1), the upper bound is not included.
`double`	`uniform(double max)`	Generates a sample of the Uniform distribution on the interval [0, max).
`double`	`uniform(double min, double max)`	Generates a sample of the Uniform distribution on the interval [min, max).
`static double`	`uniform(double min, double max, Random r)`	Generates a sample of the Uniform distribution on the interval [min, max) using the specified random number generator.
`static double`	`uniform(Random r)`	Generates a random value uniformly distributed on the interval [0,1), using the specified random number generator.
`int`	`uniform_discr(int max)`	Generates a sample of the Discrete Uniform distribution in the interval [0, max], both 0 and max included! Is equivalent to `uniform_discr(0, max)`.
`int`	`uniform_discr(int min, int max)`	Generates a sample of the Discrete Uniform distribution on the interval [min, max], both min and max included!
`static int`	`uniform_discr(int min, int max, Random r)`	Generates a sample of the Discrete Uniform distribution on the interval [min, max] using the specified random number generator, both 0 and max included! For more details see `uniform_discr(int,int)`.
`double`	`uniform_pos()`	Generates a positive random value uniformly distributed on the interval (0,1).
`static double`	`uniform_pos(Random r)`	Generates a positive random value uniformly distributed on the interval (0,1), using the specified random number generator.
`UpdateQuery`	`update(com.querydsl.sql.RelationalPathBase<?> table)`	Returns UpdateQuery that allows to build queries by chaining calls
`abstract void`	`warning(String warningText)`	Signals a warning during the model run with warningText preceded by the agent full name. Warnings may be turned off in the AnyLogic preferences (runtime section) or by API: `AnyLogicRuntimePreferences.setEnableWarnings(Boolean)`. This method checks against numerous warnings output: In case of multiple warnings having equal `warningText`, only the first 10 of them are displayed.
`abstract void`	`warning(String warningTextFormat, Object... args)`	Signals a warning during the model run with warningText preceded by the agent full name.
`double`	`week()`	Returns a time value equal to one week according to the current time unit setting.
`double`	`weibull(double beta, double alpha)`	Generates a sample of the Weibull distribution with `min` set to `0`.
`double`	`weibull(double alpha, double beta, double min)`	Generates a sample of the Weibull distribution.
`double`	`weibull(double min, double max, double alpha, double shift, double stretch)`	Generates a sample of truncated Weibull distribution. Distribution `weibull(alpha, stretch, 0)` is shifted to the right by `shift` and then truncated to fit in `[min, max]` interval.
`static double`	`weibull(double min, double max, double alpha, double shift, double stretch, Random r)`	Generates a sample of truncated Weibull distribution using the specified random number generator. Distribution `weibull(alpha, stretch, 0)` is shifted to the right by `shift` and then truncated to fit in `[min, max]` interval.
`static double`	`weibull(double alpha, double beta, double min, Random r)`	Generates a sample of the Weibull distribution using the specified random number generator.
`static double`	`xidz(double a, double b, double x)`	Tries to divide the first argument by the second.
`double`	`year()`	Returns a time value equal to 365 days according to the current time unit setting.
`static double`	`zidz(double a, double b)`	Tries to divide the first argument by the second.

Methods inherited from class com.anylogic.engine.Presentable

createElementDescriptors, executeShapeControlAction, executeShapeControlAction, executeShapeControlAction, executeShapeControlAction, executeShapeControlAction, executeShapeControlAction, getElementDesciptors, getElementProperty, getEngine, getExperiment, getExperimentHost, getModelElementsShape, getPresentation, getPresentationShape, getShapeControlDefaultValueBoolean, getShapeControlDefaultValueDouble, getShapeControlDefaultValueInt, getShapeControlDefaultValueString, getViewAreas, iconContains, onSelectionChanged_xjal, onShapeClick, onShapeGroupDraw, presentationContains, readCustomData, updateShapeDynamicProperties, writeCustomData

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Details

SUNDAY

public static final int SUNDAY

Value of the getDayOfWeek(Date) method indicating Sunday.

See Also:: getDayOfWeek(Date)getDayOfWeek()Engine.getDayOfWeek()Constant Field Values

MONDAY

public static final int MONDAY

Value of the getDayOfWeek(Date) method indicating Monday.

See Also:: getDayOfWeek(Date)getDayOfWeek()Engine.getDayOfWeek()Constant Field Values

TUESDAY

public static final int TUESDAY

Value of the getDayOfWeek(Date) method indicating Tuesday.

See Also:: getDayOfWeek(Date)getDayOfWeek()Engine.getDayOfWeek()Constant Field Values

WEDNESDAY

public static final int WEDNESDAY

Value of the getDayOfWeek(Date) method indicating Wednesday.

See Also:: getDayOfWeek(Date)getDayOfWeek()Engine.getDayOfWeek()Constant Field Values

THURSDAY

public static final int THURSDAY

Value of the getDayOfWeek(Date) method indicating Thursday.

See Also:: getDayOfWeek(Date)getDayOfWeek()Engine.getDayOfWeek()Constant Field Values

FRIDAY

public static final int FRIDAY

Value of the getDayOfWeek(Date) method indicating Friday.

See Also:: getDayOfWeek(Date)getDayOfWeek()Engine.getDayOfWeek()Constant Field Values

SATURDAY

public static final int SATURDAY

Value of the getDayOfWeek(Date) method indicating Saturday.

See Also:: getDayOfWeek(Date)getDayOfWeek()Engine.getDayOfWeek()Constant Field Values

JANUARY

public static final int JANUARY

Value of the getMonth(Date) method indicating the first month of the year in the Gregorian and Julian calendars.

See Also:: getMonth(Date)getMonth()Engine.getMonth()Constant Field Values

FEBRUARY

public static final int FEBRUARY

Value of the getMonth(Date) method indicating the second month of the year in the Gregorian and Julian calendars.

See Also:: getMonth(Date)getMonth()Engine.getMonth()Constant Field Values

MARCH

public static final int MARCH

Value of the getMonth(Date) method indicating the third month of the year in the Gregorian and Julian calendars.

See Also:: getMonth(Date)getMonth()Engine.getMonth()Constant Field Values

APRIL

public static final int APRIL

Value of the getMonth(Date) method indicating the fourth month of the year in the Gregorian and Julian calendars.

See Also:: getMonth(Date)getMonth()Engine.getMonth()Constant Field Values

MAY

public static final int MAY

Value of the getMonth(Date) method indicating the fifth month of the year in the Gregorian and Julian calendars.

See Also:: getMonth(Date)getMonth()Engine.getMonth()Constant Field Values

JUNE

public static final int JUNE

Value of the getMonth(Date) method indicating the sixth month of the year in the Gregorian and Julian calendars.

See Also:: getMonth(Date)getMonth()Engine.getMonth()Constant Field Values

JULY

public static final int JULY

Value of the getMonth(Date) method indicating the seventh month of the year in the Gregorian and Julian calendars.

See Also:: getMonth(Date)getMonth()Engine.getMonth()Constant Field Values

AUGUST

public static final int AUGUST

Value of the getMonth(Date) method indicating the eighth month of the year in the Gregorian and Julian calendars.

See Also:: getMonth(Date)getMonth()Engine.getMonth()Constant Field Values

SEPTEMBER

public static final int SEPTEMBER

Value of the getMonth(Date) method indicating the ninth month of the year in the Gregorian and Julian calendars.

See Also:: getMonth(Date)getMonth()Engine.getMonth()Constant Field Values

OCTOBER

public static final int OCTOBER

Value of the getMonth(Date) method indicating the tenth month of the year in the Gregorian and Julian calendars.

See Also:: getMonth(Date)getMonth()Engine.getMonth()Constant Field Values

NOVEMBER

public static final int NOVEMBER

Value of the getMonth(Date) method indicating the eleventh month of the year in the Gregorian and Julian calendars.

See Also:: getMonth(Date)getMonth()Engine.getMonth()Constant Field Values

DECEMBER

public static final int DECEMBER

Value of the getMonth(Date) method indicating the twelfth month of the year in the Gregorian and Julian calendars.

See Also:: getMonth(Date)getMonth()Engine.getMonth()Constant Field Values

UNDECIMBER

@AnyLogicLegacyAPI
public static final int UNDECIMBER

Value of the getMonth(Date) method indicating the thirteenth month of the year. Although GregorianCalendar does not use this value, lunar calendars do.

See Also:: getMonth(Date)getMonth()Engine.getMonth()Constant Field Values

AM

public static final int AM

Value of the getAmPm(Date) method indicating the period of the day from midnight to just before noon.

See Also:: getAmPm(Date)getAmPm()Engine.getAmPm()Constant Field Values

PM

public static final int PM

Value of the getAmPm(Date) method indicating the period of the day from noon to just before midnight.

See Also:: getAmPm(Date)getAmPm()Engine.getAmPm()Constant Field Values

infinity

public static final double infinity

A constant holding the positive infinity of type double.
If you want to get negative infinity, please write -infinity

See Also:: Constant Field Values

TIME_UNIT_MILLISECOND

@AnyLogicLegacyAPI
public static final long TIME_UNIT_MILLISECOND

One of the possible time units. Equals 1.

See Also:: Constant Field Values

TIME_UNIT_SECOND

@AnyLogicLegacyAPI
public static final long TIME_UNIT_SECOND

One of the possible time units. Equals the number of milliseconds in a second.

See Also:: Constant Field Values

TIME_UNIT_MINUTE

@AnyLogicLegacyAPI
public static final long TIME_UNIT_MINUTE

One of the possible time units. Equals the number of milliseconds in a minute.

See Also:: Constant Field Values

TIME_UNIT_HOUR

@AnyLogicLegacyAPI
public static final long TIME_UNIT_HOUR

One of the possible time units. Equals the number of milliseconds in an hour.

See Also:: Constant Field Values

TIME_UNIT_DAY

@AnyLogicLegacyAPI
public static final long TIME_UNIT_DAY

One of the possible time units. Equals the number of milliseconds in a day.

See Also:: Constant Field Values

TIME_UNIT_WEEK

@AnyLogicLegacyAPI
public static final long TIME_UNIT_WEEK

One of the possible time units. Equals the number of milliseconds in a week.

See Also:: Constant Field Values

TIME_UNIT_MONTH

@AnyLogicLegacyAPI
public static final long TIME_UNIT_MONTH

One of the possible time units. Equals the number of milliseconds in 30 days.

See Also:: Constant Field Values

TIME_UNIT_YEAR

@AnyLogicLegacyAPI
public static final long TIME_UNIT_YEAR

One of the possible time units. Equals the number of milliseconds in 365 days.

See Also:: Constant Field Values

LENGTH_UNIT_CENTIMETER

public static final LengthUnits LENGTH_UNIT_CENTIMETER

LENGTH_UNIT_INCH

public static final LengthUnits LENGTH_UNIT_INCH

LENGTH_UNIT_METER

public static final LengthUnits LENGTH_UNIT_METER

LENGTH_UNIT_FOOT

public static final LengthUnits LENGTH_UNIT_FOOT

LENGTH_UNIT_KILOMETER

public static final LengthUnits LENGTH_UNIT_KILOMETER

LENGTH_UNIT_MILE

public static final LengthUnits LENGTH_UNIT_MILE

Constructor Details

Utilities

public Utilities()

Method Details

error

public RuntimeException error(String errorText)

Signals an error during the model run by throwing a RuntimeException with errorText preceded by the agent full name.

Parameters:: errorText - the text describing the error that will be displayed.
Returns:: actually this method never returns, it throws runtime exception by itself.
But the return type is defined for some cases when you would like to use the following form of call: throw error("my message");

error

public RuntimeException error(String errorTextFormat,
 Object... args)

The same as error(String) but allows error format syntax like in String.format(String, Object...) method

See Also:

errorInModel

public RuntimeException errorInModel(String errorText)

Signals an model logic error during the model run by throwing a ModelException with errorText preceded by the agent full name.
This method differs from error() in the way of displaying error message: model logic errors are 'softer' than other errors, they use to happen in the models and signal the modeler that model might need some parameters adjustments. Examples are 'entity was unable to leave flowchart block because subsequent block was busy', 'insufficient capacity of pallet rack' etc.

Parameters:: errorText - the text describing the error that will be displayed.
Returns:: actually this method never returns, it throws runtime exception by itself.
But the return type is defined for some cases when you would like to use the following form of call: throw errorInModel("my message");

errorInModel

public RuntimeException errorInModel(String errorTextFormat,
 Object... args)

The same as errorInModel(String) but allows error format syntax like in String.format(String, Object...) method
This method differs from error() in the way of displaying error message: model logic errors are 'softer' than other errors, they use to happen in the models and signal the modeler that model might need some parameters adjustments. Examples are 'entity was unable to leave flowchart block because subsequent block was busy', 'insufficient capacity of pallet rack' etc.

See Also:

error

public abstract RuntimeException error(Throwable cause,
 String errorText)

Signals an error during the model run by throwing a RuntimeException with errorText preceded by the agent full name.

Parameters:: cause - the cause (which will be saved for more detailed message), may be null; errorText - the text describing the error that will be displayed.
Returns:: actually this method never returns, it throws runtime exception by itself.
But the return type is defined for some cases when you would like to use the following form of call: throw error("my message");

error

public RuntimeException error(Throwable cause,
 String errorTextFormat,
 Object... args)

The same as error(String) but allows error format syntax like in String.format(String, Object...) method

Parameters:

cause - the cause (which will be saved for more detailed message), may be null

See Also:

errorInModel

public abstract RuntimeException errorInModel(Throwable cause,
 String errorText)

Signals an model logic error during the model run by throwing a ModelException with errorText preceded by the agent full name.
This method differs from error() in the way of displaying error message: model logic errors are 'softer' than other errors, they use to happen in the models and signal the modeler that model might need some parameters adjustments. Examples are 'entity was unable to leave flowchart block because subsequent block was busy', 'insufficient capacity of pallet rack' etc.

Parameters:: cause - the cause (which will be saved for more detailed message), may be null; errorText - the text describing the error that will be displayed.
Returns:: actually this method never returns, it throws runtime exception by itself.
But the return type is defined for some cases when you would like to use the following form of call: throw errorInModel("my message");

errorInModel

public RuntimeException errorInModel(Throwable cause,
 String errorTextFormat,
 Object... args)

The same as errorInModel(String) but allows error format syntax like in String.format(String, Object...) method
This method differs from error() in the way of displaying error message: model logic errors are 'softer' than other errors, they use to happen in the models and signal the modeler that model might need some parameters adjustments. Examples are 'entity was unable to leave flowchart block because subsequent block was busy', 'insufficient capacity of pallet rack' etc.

Parameters:

cause - the cause (which will be saved for more detailed message), may be null

See Also:

warning

public abstract void warning(String warningText)

Signals a warning during the model run with warningText preceded by the agent full name.
Warnings may be turned off in the AnyLogic preferences (runtime section) or by API: AnyLogicRuntimePreferences.setEnableWarnings(Boolean).
This method checks against numerous warnings output:

In case of multiple warnings having equal warningText, only the first 10 of them are displayed.
When more than 1000 warnings having different warningText occur, all the subsequent warnings (including new occurrences of those in the first 1000) will stop displaying.
Be careful with using dynamically changing warningText (e.g. listing names of agents), it could be better to use warning(String, Object...).

Parameters:: warningText - the text describing the warning that will be displayed.
Since:: 8.6

warning

public abstract void warning(String warningTextFormat,
 Object... args)

Signals a warning during the model run with warningText preceded by the agent full name. The method allows warning format syntax like in String.format(String, Object...) method.
Warnings may be turned off in the AnyLogic preferences (runtime section) or by API: AnyLogicRuntimePreferences.setEnableWarnings(Boolean).
This method checks against numerous warnings output:

In case of multiple warnings having equal warningTextFormat, only the first 10 of them are displayed.
It is safe to raise numerous warnings with equal format string (which defines the warning type) but varying args - AnyLogic will take care to display only 10 first warnings of each warning type.
When more than 1000 warnings having different warningTextFormat occur, all the subsequent warnings (including new occurrences of those in the first 1000) will stop displaying.
Don't use dynamically changing warningTextFormat (e.g. listing names of agents), use args instead.

Since:

8.6

See Also:

selectFrom

public SelectQuery selectFrom(com.querydsl.sql.RelationalPathBase<?> table)

Returns SelectQuery that allows to build queries by chaining calls

Parameters:: table - to select from
Returns:: SelectQuery that allows to build queries by chaining calls

insertInto

public InsertQuery insertInto(com.querydsl.sql.RelationalPathBase<?> table)

Returns InsertQuery that allows to build queries by chaining calls

Parameters:: table - to insert into
Returns:: InsertQuery that allows to build queries by chaining calls

deleteFrom

public DeleteQuery deleteFrom(com.querydsl.sql.RelationalPathBase<?> table)

Returns DeleteQuery that allows to build queries by chaining calls

Parameters:: table - to delete from
Returns:: DeleteQuery that allows to build queries by chaining calls

update

public UpdateQuery update(com.querydsl.sql.RelationalPathBase<?> table)

Returns UpdateQuery that allows to build queries by chaining calls

Parameters:: table - to update
Returns:: UpdateQuery that allows to build queries by chaining calls

isLoggingToDB

@AnyLogicInternalCodegenAPI
public boolean isLoggingToDB(LoggingType loggingType)

Returns true if this agent and its internals may log their data/changes/activity to AnyLogic built-in database (logging options are configurable in the properties of Database / Log in the Projects tree inside AnyLogic)

Parameters:: loggingType - type of logging
Returns:: true if logged, false otherwise

isLoggingClassToDB

@AnyLogicInternalAPI
public boolean isLoggingClassToDB(LoggingType loggingType)

Returns true if this agent type with all internals may log their data/changes/activity to AnyLogic built-in database (logging options are configurable in the properties of Database / Log in the Projects tree inside AnyLogic)

Parameters:: loggingType - type of logging
Returns:: true if logged, false otherwise

selectExists

public boolean selectExists(String sql,
 Object... params)

Returns true if the given sql and params returns at least one result This function caches its results, to speed up default behavior Use selectExists(false, sql, params) to get non cached result every time

Parameters:: sql - string containing select query; params - array containing select query params
Returns:: the resulting value of column

selectExists

public boolean selectExists(boolean cached,
 String sql,
 Object... params)

Returns true if the given sql and params returns at least one result This function caches its results, to speed up default behavior Use selectExists(false, sql, params) to get non cached result every time

Parameters:: cached - if true, then this method will try to use cached values to avoid database access; sql - string containing select query; params - array containing select query params
Returns:: the resulting value of column

selectFirstValue

public <T> T selectFirstValue(String sql,
 Object... params)

Returns first result for given sql and params or null if no result is found This function caches its results, to speed up default behavior Use selectFirstValue(false, sql, params) to get non cached result every time

Parameters:: sql - string containing select query; params - array containing select query params
Returns:: the resulting value of column

selectUniqueValue

public <T> T selectUniqueValue(String sql,
 Object... params)

Returns an unique result for given sql and params This function caches its results, to speed up default behavior Use selectUniqueValue(false, sql, params) to get non cached result every time

Parameters:: sql - string containing select query; params - array containing select query params
Returns:: the resulting value of column
Throws:: RuntimeException - if there is no matching results or more than one matching result

selectFirstValue

public <T> T selectFirstValue(Class<T> returnType,
 String sql,
 Object... params)

Returns first result for given sql and params or null if no result is found This function caches its results, to speed up default behavior Use selectFirstValue(false, returnType, sql, params) to get non cached result every time

Parameters:: returnType - type required to be returned by this function; sql - string containing select query; params - array containing select query params
Returns:: the resulting value of column

selectUniqueValue

public <T> T selectUniqueValue(Class<T> returnType,
 String sql,
 Object... params)

Returns an unique result for given sql and params This function caches its results, to speed up default behavior Use selectUniqueValue(false, returnType, sql, params) to get non cached result every time

Parameters:: returnType - type required to be returned by this function; sql - string containing select query; params - array containing select query params
Returns:: the resulting value of column
Throws:: RuntimeException - if there is no matching results or more than one matching result

selectFirstValue

public <T> T selectFirstValue(boolean cached,
 String sql,
 Object... params)

Returns first result for given sql and params or null if no result is found

Parameters:: cached - if true, then this method will try to use cached values to avoid database access; sql - string containing select query; params - array containing select query params
Returns:: the resulting value of column

selectUniqueValue

public <T> T selectUniqueValue(boolean cached,
 String sql,
 Object... params)

Returns an unique result for given sql and params This function caches its results, to speed up default behavior Use selectUniqueValue(false, sql, params) to get non cached result every time

Parameters:: cached - if true, then this method will try to use cached values to avoid database access; sql - string containing select query; params - array containing select query params
Returns:: the resulting value of column
Throws:: RuntimeException - if there is no matching results or more than one matching result

selectFirstValue

public <T> T selectFirstValue(boolean cached,
 Class<T> returnType,
 String sql,
 Object... params)

Returns first result for given sql and params or null if no result is found This function caches its results, to speed up default behavior Use selectFirstValue(false, returnType, sql, params) to get non cached result every time

Parameters:: cached - if true, then this method will try to use cached values to avoid database access; returnType - type required to be returned by this function; sql - string containing select query; params - array containing select query params
Returns:: the resulting value of column

selectUniqueValue

public <T> T selectUniqueValue(boolean cached,
 Class<T> returnType,
 String sql,
 Object... params)

Returns an unique result for given sql and params This function caches its results, to speed up default behavior Use selectUniqueValue(false, returnType, sql, params) to get non cached result every time

Parameters:: cached - if true, then this method will try to use cached values to avoid database access; returnType - type required to be returned by this function; sql - string containing select query; params - array containing select query params
Returns:: the resulting value of column
Throws:: RuntimeException - if there is no matching results or more than one matching result

getResult

@AnyLogicInternalAPI
public <T> T getResult(boolean cached,
 boolean mustBeUnique,
 Class<T> returnType,
 String sql,
 Object... params)

This method is internal and shouldn't be called by user.
it may be removed/renamed in future.

selectValues

public <T> List<T> selectValues(String sql,
 Object... params)

List the results for given sql and params Given sql query must return single column An empty list is returned for no results

Parameters:: sql - string containing select query; params - array containing select query params
Returns:: List list of resulting values

selectValues

public <T> List<T> selectValues(Class<T> returnType,
 String sql,
 Object... params)

List the results for given sql and params Given sql query must return single column An empty list is returned for no results

Parameters:: returnType - required type of elements returned by this function; sql - string containing select query; params - array containing select query params
Returns:: List list of resulting values

selectArrayOfDouble

public double[] selectArrayOfDouble(String sql,
 Object... params)

Returns the array of numbers from the first column returned by the given sql and params. Given sql query must return single column An empty array is returned for no results

Parameters:: sql - string containing select query; params - array containing select query params
Returns:: array of 'double' numbers

selectArrayOfInt

public int[] selectArrayOfInt(String sql,
 Object... params)

Returns the array of numbers from the first column returned by the given sql and params. Given sql query must return single column An empty array is returned for no results

Parameters:: sql - string containing select query; params - array containing select query params
Returns:: array of 'int' numbers

selectResultSet

public ResultSet selectResultSet(String sql,
 Object... params)

Get the results as a result set object for the given sql and params

Parameters:: sql - string containing select query; params - array containing select query params
Returns:: ResultSet selected ResultSet

selectAndDoForEach

public int selectAndDoForEach(Consumer<ResultSet> action,
 String sql,
 Object... params)

Perform some action with each of results for the given sql and params.
Example:

 selectAndDoForEach( rs -> myCollection.add( rs.getString(1) ), "SELECT name FROM parts_table WHERE priority = ?", "high" );

Parameters:: action - what to do with each record (use get... methods of the given result set); sql - string containing select query; params - array containing select query params
Returns:: number of selected records

executeStatement

public int executeStatement(String sql,
 Object... params)

Executes insert, delete and update statements in AnyLogic database with given sql query string and parameters

Parameters:: sql - string containing statement; params - array containing statement params
Returns:: number of affected rows

selectTableFunction

public TableFunction selectTableFunction(TableFunction tableFunction,
 String sql,
 Object... params)

Executes the given SELECT query which should return data in 2 columns:

the first column contains arguments numbers,
the second column contains values numbers.

Parameters:: tableFunction - the table function to fill; sql - string containing statement; params - array containing statement params
Returns:: the given table function, for convenience

getDatabaseConnection

public Connection getDatabaseConnection()

Returns connection to AnyLogic database

Returns:: Connection to database

createTableElementDatabaseBuilder

@AnyLogicInternalAPI
public TableElementDatabaseBuilder createTableElementDatabaseBuilder()

sqlSetObject

public void sqlSetObject(PreparedStatement st,
 int index,
 Object object)

Sets parameter for preparedStatement in given index position with given value

Parameters:: st - PreparedStatement; index - of given parameter in query; object - parameter value

sqlGetObject

public <T> T sqlGetObject(ResultSet rs,
 String columnLabel,
 Class<T> returnType)

Gets values from ResultSet in given position

Parameters:: rs - ResultSet with selected values; columnLabel - name of column; returnType - type that will be returned

sqlGetObject

public <T> T sqlGetObject(ResultSet rs,
 String columnLabel,
 Class<T> returnType)

Gets values from AnyLogic wrapper for ResultSet in given position

Parameters:: rs - AnyLogic wrapper for ResultSet with selected values; columnLabel - name of column; returnType - type that will be returned

sqlGetObject

public <T> T sqlGetObject(ResultSet rs,
 int index,
 Class<T> returnType)

Gets values from ResultSet in given position

Parameters:: st - PreparedStatement built with prepareStatement(String sql) method; index - of given parameter in query; returnType - type that will be returned

sqlGetObject

public <T> T sqlGetObject(ResultSet rs,
 int index,
 Class<T> returnType)

Gets values from AnyLogic wrapper for ResultSet in given position

Parameters:: rs - AnyLogic wrapper for ResultSet with selected values; index - of result; returnType - type that will be returned

prepareStatement

public PreparedStatement prepareStatement(String sql,
 Object... params)
                                   throws SQLException

Creates a PreparedStatement object (which may be used to executes insert, delete and update statements in AnyLogic database) with the given SQL query string and and fills in the given objects as parameters.
Objects passed as parameters are converted automatically to match database format (e.g. option list / enum constants are written as their text names).

Caller is responsible to invoke close() method on the returned 'prepared statement' object after usage.

Parameters:: sql - string containing statement; params - array containing statement params
Returns:: PreparedStatement object
Throws:: SQLException

castTypes

@AnyLogicInternalAPI
public <RT> RT castTypes(Object result,
 Class<RT> returnType)

Makes both implicit and explicit casts returnType might be equal to Object.class, then convertation will be done only based on result type like Timestamp -> Date

castTypesBack

public Object castTypesBack(Object value)

castNumberTypes

@AnyLogicInternalAPI
public <RT> RT castNumberTypes(Number number,
 Class<RT> returnType)

executeAction

public void executeAction(String code,
 Object... argDescriptors)

Executes action.
Example: executeAction("event.restart(dt);", "dt", 1000);

Parameters:: code - the source code; argDescriptors - array of pairs: argName1, argValue1, argName2, argValue2, ...

executeExpression

public <T> T executeExpression(String code,
 Object... argDescriptors)

Executes/evaluates the given code, e.g. executeExpression( "exponential( 10 )" ).
If provided, uses the given arguments, specified in the form of pair: name, value. In the following example:
executeExpression( "agent.getName() + index", "agent", agent, "index", i - 1 )
the code will operate with variables agent and index of types Agent and Integer

Parameters:: code - java code of expression / action; argDescriptors - array of pairs: argName1, argValue1, argName2, argValue2, ...
Returns:: evaluated expression result

executeExpression

public <T> T executeExpression(Class<T> returnType,
 String code,
 Object... argDescriptors)

Executes/evaluates the given code, e.g. executeExpression( "exponential( 10 )" ).
If provided, uses the given arguments, specified in the form of pair: name, value. In the following example:
executeExpression( "agent.getName() + index", "agent", agent, "index", i - 1 )
the code will operate with variables agent and index of types Agent and Integer

Parameters:: returnType - return-type of expression, may be void.class - for actions; code - java code of expression / action; argDescriptors - array of pairs: argName1, argValue1, argName2, argValue2, ...
Returns:: evaluated expression result

time

public double time()

Returns the current model (logical) time. Time stays constant during an event execution and is only advanced between events.

Returns:: current model time

time

public double time(TimeUnits units)

Returns the current model (logical) time. Time stays constant during an event execution and is only advanced between events.

Parameters:: units - the time units
Returns:: current model time

getTime

@Deprecated
public double getTime()

Deprecated.

Use time() instead

date

public Date date()

Returns the current model date with respect to the start time/date and the model time unit.

Returns:: the current model date

timeToDate

public Date timeToDate(double t)

Converts the given model time to date with respect to the start date, start time and model time unit settings, null if the time is infinity.

Parameters:: t - the model time
Returns:: the date corresponding to the given model time, or null

dateToTime

public double dateToTime(Date d)

Converts the given date to model time with respect to the start date, start time and model time unit settings

Parameters:: d - the date to convert
Returns:: the model time corresponding to date

getMillisecond

public static int getMillisecond(Date date)

Returns the millisecond within the second of the given date.
E.g., at 10:04:15.250 PM the result is 250.

Parameters:: date - the date for which millisecond is returned
Returns:: the millisecond within the second of the given date

getSecond

public static int getSecond(Date date)

Returns the second within the minute of the given date.
E.g., at 10:04:15.250 PM the result is 15.

Parameters:: date - the date for which second is returned
Returns:: the second within the minute of the given date

getMinute

public static int getMinute(Date date)

Returns the minute within the hour of the given date.
E.g., at 10:04:15.250 PM the result is 4.

Parameters:: date - the date for which minute is returned
Returns:: the minute within the hour of the given date

getHour

public static int getHour(Date date)

Returns the hour of the morning or afternoon of the given date.
This method is used for the 12-hour clock.
Noon and midnight are represented by 0, not by 12.
E.g., at 10:04:15.250 PM the result is 10.

Parameters:: date - the date for which hour is returned
Returns:: the hour of the morning or afternoon of the given date
See Also:: getAmPm(Date)getHourOfDay(Date)

getAmPm

public static int getAmPm(Date date)

Indicates whether the hour of the given date is before (AM) or after (PM) noon.
This method is used for the 12-hour clock.
E.g., at 10:04:15.250 PM the result is PM.

Parameters:: date - the date for AM/PM information is returned
Returns:: AM or PM depending on the hour of the given date
See Also:: getHour(Date)getHourOfDay(Date)

getHourOfDay

public static int getHourOfDay(Date date)

Returns the hour of day of the given date.
This method is used for the 24-hour clock.
E.g., at 10:04:15.250 PM the result is 22.

Parameters:: date - the date for which hour of day is returned
Returns:: the hour of day of the given date
See Also:: getHour(Date)getAmPm(Date)

getDayOfWeek

public static int getDayOfWeek(Date date)

Returns the day of the week of the given date.
Returned value is one of:

SUNDAY
MONDAY
TUESDAY
WEDNESDAY
THURSDAY
FRIDAY
SATURDAY

Parameters:: date - the date for which day of the week is returned
Returns:: the day of the week of the given date

getDayOfMonth

public static int getDayOfMonth(Date date)

Returns the day of the month of the given date.
The first day of the month has value 1.

Parameters:: date - the date for which day of the month is returned
Returns:: the day of the month of the given date

getDayOfYear

public static int getDayOfYear(Date date)

Returns the day of the year of the given date.
The first day of the year has value 1.

Parameters:: date - the date for which day of the year is returned
Returns:: the day of the year of the given date

getMonth

public static int getMonth(Date date)

Returns the month of the given date.
This is a calendar-specific value.
The first month of the year in the Gregorian and Julian calendars is JANUARY which is 0; the last depends on the number of months in a year.
Possible values:

JANUARY
FEBRUARY
MARCH
APRIL
MAY
JUNE
JULY
AUGUST
SEPTEMBER
OCTOBER
NOVEMBER
DECEMBER

Parameters:: date - the date for which month is returned
Returns:: the month of the given date

getYear

public static int getYear(Date date)

Returns the year of the given date.
This is a calendar-specific value

Parameters:: date - the date for which year is returned
Returns:: the year of the given date

getMillisecond

public int getMillisecond()

Returns the millisecond within the second of the current model date with respect to the start time/date and the model time unit.
E.g., at 10:04:15.250 PM the result is 250.

Returns:: the millisecond within the second of the current model date with respect to the start time/date and the model time unit

getSecond

public int getSecond()

Returns the second within the minute of the current model date with respect to the start time/date and the model time unit.
E.g., at 10:04:15.250 PM the result is 15.

Returns:: the second within the minute of the current model date with respect to the start time/date and the model time unit

getMinute

public int getMinute()

Returns the minute within the hour of the current model date with respect to the start time/date and the model time unit.
E.g., at 10:04:15.250 PM the result is 4.

Returns:: the minute within the hour of the current model date with respect to the start time/date and the model time unit

getHour

public int getHour()

Returns the hour of the morning or afternoon of the current model date with respect to the start time/date and the model time unit.
This method is used for the 12-hour clock.
Noon and midnight are represented by 0, not by 12.
E.g., at 10:04:15.250 PM the result is 10.

Returns:: the hour of the morning or afternoon of the current model date with respect to the start time/date and the model time unit
See Also:: getAmPm(Date)getHourOfDay(Date)

getAmPm

public int getAmPm()

Indicates whether the hour of the current model date with respect to the start time/date and the model time unit is before (AM) or after (PM) noon.
This method is used for the 12-hour clock.
E.g., at 10:04:15.250 PM the result is PM.

Returns:: AM or PM depending on the hour of the current model date with respect to the start time/date and the model time unit
See Also:: getHour(Date)getHourOfDay(Date)

getHourOfDay

public int getHourOfDay()

Returns the hour of day of the current model date with respect to the start time/date and the model time unit.
This method is used for the 24-hour clock.
E.g., at 10:04:15.250 PM the result is 22.

Returns:: the hour of day of the current model date with respect to the start time/date and the model time unit
See Also:: getHour(Date)getAmPm(Date)

getDayOfWeek

public int getDayOfWeek()

Returns the day of the week of the current model date with respect to the start time/date and the model time unit.
Returned value is one of:

SUNDAY
MONDAY
TUESDAY
WEDNESDAY
THURSDAY
FRIDAY
SATURDAY

Returns:: the day of the week of the current model date with respect to the start time/date and the model time unit

getDayOfMonth

public int getDayOfMonth()

Returns the day of the month of the current model date with respect to the start time/date and the model time unit.
The first day of the month has value 1.

Returns:: the day of the month of the current model date with respect to the start time/date and the model time unit

getMonth

public int getMonth()

Returns the month of the current model date with respect to the start time/date and the model time unit.
This is a calendar-specific value.
The first month of the year in the Gregorian and Julian calendars is JANUARY which is 0; the last depends on the number of months in a year.
Possible values:

JANUARY
FEBRUARY
MARCH
APRIL
MAY
JUNE
JULY
AUGUST
SEPTEMBER
OCTOBER
NOVEMBER
DECEMBER

Returns:: the month of the current model date with respect to the start time/date and the model time unit

getYear

public int getYear()

Returns the year of the current model date with respect to the start time/date and the model time unit.
This is a calendar-specific value

Returns:: the year of the current model date with respect to the start time/date and the model time unit

toTimeout

@Deprecated
public double toTimeout(int timeUnit,
 double amount)

Deprecated.

Returns timeout, in model time units, which equals to the given amount of timeUnits from current model date
e.g. toTimeout( DAY, 1 ) returns timeout in model time units from date() to the ( date() + 1 day )
Note, that the result of this method also depends on the current model date (because of leap years, different month lengths, daylight saving time tweaks) and therefore this method shouldn't be used for initialization of any constants

One of examples where this method should be used:
A model scheduling an event occurring each day at fixed time (e.g. 8:00): this method will return correct timeout on each call (even when time is switched to daylight-saving mode)
unlike day() which will always return timeout for 24 hours and may result in events scheduled at 7:00 or 9:00

Parameters:

timeUnit - time unit, possible values:

amount - the number of time units (may be negative - in this case result will be also negative)

Returns:

timeout, in model time units, which may be used e.g. to schedule an event in the given amount of timeUnits

toTimeout

@Deprecated
public double toTimeout(TimeUnits timeUnit,
 double amount)

Deprecated.

please use toTimeoutInCalendar(TimeUnits, double) instead

toTimeoutInCalendar

public double toTimeoutInCalendar(TimeUnits timeUnit,
 double amount)

Returns timeout, in model time units, which equals to the given amount of timeUnits from current model date
e.g. toTimeout( DAY, 1 ) returns timeout in model time units from date() to the ( date() + 1 day )
Note, that the result of this method also depends on the current model date (because of leap years, different month lengths, daylight saving time tweaks) and therefore this method shouldn't be used for initialization of any constants

One of examples where this method should be used:
A model scheduling an event occurring each day at fixed time (e.g. 8:00): this method will return correct timeout on each call (even when time is switched to daylight-saving mode)
unlike day() which will always return timeout for 24 hours and may result in events scheduled at 7:00 or 9:00

Parameters:

timeUnit - time unit, possible values:

amount - the number of time units (may be negative - in this case result will be also negative)

Returns:

timeout, in model time units, which may be used e.g. to schedule an event in the given amount of timeUnits

getTimeoutToNextTime

public double getTimeoutToNextTime(int hourOfDay,
 int minute,
 int second)

Returns timeout, in model time units, to the nearest date which will have the specified in-day time (in the default time zone)

Parameters:: hourOfDay - the hour of day (using 24-hour clock); minute - the minute; second - the second
Returns:: timeout, in model time units, which may be used e.g. to schedule an event to the nearest time moment

addToDate

public static Date addToDate(Date date,
 TimeUnits timeUnit,
 double amount)

Returns the date, which will be after the given amount of timeUnits from the given date
e.g. addToDate( DAY, 1 ) returns the 'tomorrow' date: ( date + 1 day )
Note, that this method correctly handles leap years, daylight saving time tweaks, e.g. its ( DAY, 1 ) may actually add to the date 23 or 25 hours during DST switch, in order to get the correct result

Parameters:

timeUnit - time unit, possible values:

date - the base date

amount - the number of time units (may be negative - in this case the returned date will be in the past relative to the given date)

Returns:

the new date obtained by adding amount of timeUnits to the given date

addToDate

@AnyLogicLegacyAPI
public static Date addToDate(Date date,
 int timeUnit,
 double amount)

Returns the date, which will be after the given amount of timeUnits from the given date
e.g. addToDate( DAY, 1 ) returns the 'tomorrow' date: ( date + 1 day )
Note, that this method correctly handles leap years, daylight saving time tweaks, e.g. its ( DAY, 1 ) may actually add to the date 23 or 25 hours during DST switch, in order to get the correct result

Parameters:

timeUnit - time unit, possible values:

date - the base date

amount - the number of time units (may be negative - in this case the returned date will be in the past relative to the given date)

Returns:

the new date obtained by adding amount of timeUnits to the given date

differenceInDateUnits

@Deprecated
public static double differenceInDateUnits(TimeUnits timeUnit,
 Date date1,
 Date date2)

Deprecated.

please use differenceInCalendarUnits(TimeUnits, Date, Date) instead

differenceInCalendarUnits

public static double differenceInCalendarUnits(TimeUnits timeUnit,
 Date date1,
 Date date2)

Returns the difference (date2 - date1) between two dates in the given time units.
Result is the number of time units that should be added to date1 to obtain date2
The result may be negative and may have fractional part depending on the given dates.

Parameters:

timeUnit - the time units for difference computation, possible values:

date1 - the first date

date2 - the second date

Returns:

the difference (date2 - date1) in the given time units

differenceInDateUnits

@Deprecated
public static double differenceInDateUnits(int timeUnit,
 Date date1,
 Date date2)

Deprecated.

Returns the difference (date2 - date1) between two dates in the given time units.
Result is the number of time units that should be added to date1 to obtain date2
The result may be negative and may have fractional part depending on the given dates.

Parameters:

timeUnit - the time units for difference computation, possible values:

date1 - the first date

date2 - the second date

Returns:

the difference (date2 - date1) in the given time units

differenceInDateUnits

@Deprecated
public double differenceInDateUnits(TimeUnits timeUnit,
 double time1,
 double time2)

Deprecated.

please use differenceInCalendarUnits(TimeUnits, double, double) instead

differenceInCalendarUnits

public double differenceInCalendarUnits(TimeUnits timeUnit,
 double time1,
 double time2)

Returns the difference (time2 - time1) between two model dates (corresponding to the given model times) in the given time units.
Result is the number of date units that should be added to the model time time1 to obtain time2
The result may be negative and may have fractional part depending on the given dates.

Parameters:

timeUnit - the time units for difference computation, possible values:

time1 - the first model time

time2 - the second model time

Returns:

the difference (time2 - time1) in the given date units

differenceInDateUnits

@Deprecated
public double differenceInDateUnits(int timeUnit,
 double time1,
 double time2)

Deprecated.

Returns the difference (time2 - time1) between two model dates (corresponding to the given model times) in the given time units.
Result is the number of date units that should be added to the model time time1 to obtain time2
The result may be negative and may have fractional part depending on the given dates.

Parameters:

timeUnit - the time units for difference computation, possible values:

time1 - the first model time

time2 - the second model time

Returns:

the difference (time2 - time1) in the given date units

dropTime

public static Date dropTime(Date date)

This utility method drops time-of-the-day information and returns the date with the time 00:00:00.000

Parameters:: date - the date
Returns:: the date with the time 00:00:00.000

trace

public static void trace(Object o)

Prints a string representation of an object to the standard output stream.

Parameters:: o - the object to print

trace

public static void trace(String textFormat,
 Object... args)

The same as trace(Object) but allows text format syntax like in String.format(String, Object...) method

See Also:

traceln

public static void traceln()

Prints a line delimiter to the standard output stream.

traceln

public static void traceln(Object o)

Prints a string representation of an object with a line delimiter at the end to the standard output stream.

Parameters:: o - the object to print

traceln

public static void traceln(String textFormat,
 Object... args)

The same as traceln(Object) but allows text format syntax like in String.format(String, Object...) method

See Also:

traceln

public static void traceln(Color color,
 Object o)

Prints a string representation of an object with a line delimiter at the end to the standard output stream. Uses the given color in the model's Developer panel console.

Parameters:: color - the color to print with, or null for the default color; o - the object to print
Since:: 8.3

traceln

public static void traceln(Color color,
 String textFormat,
 Object... args)

The same as traceln(Object) but allows text format syntax like in String.format(String, Object...) method. Uses the given color in the model's Developer panel console.

Parameters:

color - the color to print with, or null for the default color

See Also:

logToDB

public void logToDB(StatisticsContinuous statistics,
 String name)

Writes the given element to the corresponding log table of model database.
If logging is enabled this method should be called in #onDestroy() method

logToDB

public void logToDB(StatisticsDiscrete statistics,
 String name)

Writes the given element to the corresponding log table of model database.
If logging is enabled this method should be called in #onDestroy() method

logToDB

public void logToDB(DataSet dataSet,
 String name)

Writes the given element to the corresponding log table of model database.
If logging is enabled this method should be called in #onDestroy() method

logToDB

public void logToDB(HistogramData histogramData,
 String name)

Writes the given element to the corresponding log table of model database.
If logging is enabled this method should be called in #onDestroy() method

traceToDB

public void traceToDB(Object o)

Prints a string representation of an object with a line delimiter at the end to the standard output stream.

Parameters:: o - the object to print

traceToDB

public void traceToDB(String textFormat,
 Object... args)

The same as traceln(Object) but allows text format syntax like in String.format(String, Object...) method

See Also:

setDefaultRandomGenerator

public void setDefaultRandomGenerator(Random r)

Sets the random number generator used by all probability distributions by default, i.e. if no particular generator is specified in the call to a probability distribution function. Only the Random.nextDouble() and Random.nextGaussian() methods of the specified random number generator are called.

Parameters:: r - new random number generator.
See Also:: getDefaultRandomGenerator()

getDefaultRandomGenerator

public Random getDefaultRandomGenerator()

Retrieves the random number generator used by all probability distributions by default, i.e. if no particular generator is specified in the call to a probability distribution function.

Returns:

the default random number generator.

See Also:

setDefaultRandomGenerator(java.util.Random)

uniform

public double uniform()

Generates a random value uniformly distributed on the interval [0,1), the upper bound is not included.

Returns:: the generated sample.

random

@AnyLogicInternalAPI
public double random()

Generates a random value uniformly distributed on the interval [0,1), the upper bound is not included.
Please use uniform() function (has the same logic) instead, for not to get in confusion with Math.random() function (the latter shouldn't be used in models because it doesn't utilize random number generator of Engine and will result in not reproducible model runs).

Returns:: the generated sample.
Since:: 8.0

uniform

public static double uniform(Random r)

Generates a random value uniformly distributed on the interval [0,1), using the specified random number generator.

Parameters:: r - the random number generator.
Returns:: the generated sample.

uniform_pos

public double uniform_pos()

Generates a positive random value uniformly distributed on the interval (0,1).

Returns:: the generated sample.

uniform_pos

public static double uniform_pos(Random r)

Generates a positive random value uniformly distributed on the interval (0,1), using the specified random number generator.

Parameters:: r - the random number generator.
Returns:: the generated sample.

uniform

public double uniform(double max)

Generates a sample of the Uniform distribution on the interval [0, max). Is equivalent to uniform(0, max). For more details see uniform(double,double).

Parameters:: max - the maximum x value (excluded from the interval).
Returns:: the generated sample.

uniform

public double uniform(double min,
 double max)

Generates a sample of the Uniform distribution on the interval [min, max).

The Uniform distribution is a continuous distribution bounded on both sides, i.e. the sample lays in the interval [min,max). The probability density does not depend on the value of x. It is a special case of the Beta distribution. It is frequently called rectangular distribution (see Johnson et al).

The Uniform distribution is used to represent a random variable with constant likelihood of being in any small interval between min and max. Note that the probability of max value is 0; the max point never occurs.

Parameters:: min - the minimum x value (included into the interval).; max - the maximum x value (excluded from the interval).
Returns:: the generated sample.

uniform

public static double uniform(double min,
 double max,
 Random r)

Generates a sample of the Uniform distribution on the interval [min, max) using the specified random number generator. For more details see uniform(double,double).

Parameters:: min - the minimum x value (included into the interval).; max - the maximum x value (excluded from the interval).; r - the random number generator.
Returns:: the generated sample.

uniform_discr

public int uniform_discr(int max)

Generates a sample of the Discrete Uniform distribution in the interval [0, max], both 0 and max included! Is equivalent to uniform_discr(0, max). For more details see uniform_discr(int,int).

Parameters:: max - the maximum x value (included into the interval).
Returns:: the generated sample.

uniform_discr

public int uniform_discr(int min,
 int max)

Generates a sample of the Discrete Uniform distribution on the interval [min, max], both min and max included!

The Discrete Uniform distribution is a discrete distribution bounded on [min, max] with constant probability at every value on or between the bounds. Sometimes called the discrete rectangular distribution, it arises when an event can have a finite and equally probable number of outcomes.

Parameters:: min - the minimum x value (included into the interval).; max - the maximum x value (also included into the interval).
Returns:: the generated sample.

uniform_discr

public static int uniform_discr(int min,
 int max,
 Random r)

Generates a sample of the Discrete Uniform distribution on the interval [min, max] using the specified random number generator, both 0 and max included! For more details see uniform_discr(int,int).

Parameters:: min - the minimum x value (included into the interval).; max - the maximum x value (also included into the interval).; r - the random number generator.
Returns:: the generated sample.

randomColor

public Color randomColor()

Returns random standard color, one of possible standard colors

Returns:: random standard color

randomTrue

public boolean randomTrue(double p)

Generates true with the given probability p. Is equivalent to uniform() < p. The probability of false is 1 - p correspondingly.

Parameters:: p - the probability of true.
Returns:: true with probability p, false with probability 1 - p.
See Also:: randomFalse(double)bernoulli(double)

randomTrue

public static boolean randomTrue(double p,
 Random r)

Generates true with the given probability p using the specified random number generator.
For more details see randomTrue(double)

Parameters:

p - the probability of true.

r - the random number generator.

Returns:

true with probability p, false with probability 1 - p.

See Also:

randomFalse(double, Random)
bernoulli(double, Random)

randomFalse

public boolean randomFalse(double p)

Generates false with the given probability p. Is equivalent to uniform() >= p. The probability of true is 1 - p correspondingly.

Parameters:: p - the probability of false.
Returns:: false with probability p, true with probability 1 - p
See Also:: randomTrue(double)bernoulli(double)

randomFalse

public static boolean randomFalse(double p,
 Random r)

Generates false with the given probability p using the specified random number generator.
For more details see randomFalse(double)

Parameters:

p - the probability of false.

r - the random number generator.

Returns:

false with probability p, true with probability 1 - p

See Also:

randomTrue(double, Random)
bernoulli(double, Random)

getRandom

@AnyLogicLegacyAPI
public <T> T getRandom(Collection<T> collection)

Same as #randomFrom(Collection)

getRandom

@AnyLogicLegacyAPI
public static <T> T getRandom(Collection<T> collection,
 Random r)

Same as #randomFrom(Collection, Random)

randomFrom

public <T> T randomFrom(Iterable<T> collection)

Returns the randomly chosen element of the given collection.
For empty collections return null.
This result of this method is an equivalent of calling: collection.get( uniform_discr( collection.size() - 1 ) )

Parameters:

collection - the collection to select an element from

Returns:

the randomly chosen element or null, if collection is empty

See Also:

randomWhere(Iterable, Predicate)

randomFrom

public static <T> T randomFrom(Iterable<T> collection,
 Random r)

Returns the randomly chosen element of the given collection. Uses the specified random number generator to choose the element.
For more details see randomFrom(Iterable)

Parameters:: collection - the collection to select an element from; r - the random number generator.
Returns:: the randomly chosen element or null, if collection is empty

randomWhere

public <T> T randomWhere(Iterable<T> collection,
 Predicate<T> condition)

Returns the randomly chosen element of the given collection which meets the given condition.
For empty collections return null.

Parameters:: collection - the collection to select an element from; condition - the condition to test
Returns:: the randomly chosen element or null, if collection is empty
See Also:: randomFrom(Iterable)

randomWhere

public static <T> T randomWhere(Iterable<T> collection,
 Predicate<T> condition,
 Random r)

Returns the randomly chosen element of the given collection which meets the given condition. Uses the specified random number generator to choose the element.
For more details see randomWhere(Iterable, Predicate)

Parameters:: collection - the collection to select an element from; condition - the condition to test; r - the random number generator.
Returns:: the randomly chosen element or null, if collection is empty

randomFrom

public <T> T randomFrom(T[] array)

Returns the randomly chosen element of the given array.
This result of this method is an equivalent of calling: array[ uniform_discr( array.length - 1 ) ]

Parameters:

array - the array to select an element from

Returns:

the randomly chosen element or null, if the array is empty

See Also:

randomWhere(Object[], Predicate)

randomFrom

public static <T> T randomFrom(T[] array,
 Random r)

Returns the randomly chosen element of the given array. Uses the specified random number generator to choose the element.
For more details see #randomFrom(T[])

Parameters:: array - the array to select an element from; r - the random number generator
Returns:: the randomly chosen element or null, if the array is empty

randomWhere

public <T> T randomWhere(T[] array,
 Predicate<T> condition)

Returns the randomly chosen element of the given array which meets the given condition.

Parameters:: array - the array to select an element from; condition - the condition to test
Returns:: the randomly chosen element or null, if the array is empty
See Also:: randomFrom(Object[])

randomWhere

public static <T> T randomWhere(T[] array,
 Predicate<T> condition,
 Random r)

Returns the randomly chosen element of the given array which meets the given condition. Uses the specified random number generator to choose the element.
For more details see #randomFrom(T[])

Parameters:: array - the array to select an element from; condition - the condition to test; r - the random number generator
Returns:: the randomly chosen element or null, if the array is empty

randomFrom

public <T extends Enum<T>> T randomFrom(Class<T> enumeration)

Returns the randomly chosen enumeration constant.
Throws NullPointerException if the given class is null or not an enumeration class

Parameters:: enumeration - the enumeration class; r - the random number generator
Returns:: the randomly chosen enumeration constant

randomFrom

public static <T extends Enum<T>> T randomFrom(Class<T> enumeration,
 Random r)

Returns the randomly chosen enumeration constant. Uses the specified random number generator to choose the constant.
Throws NullPointerException if the given class is null or not an enumeration class

Parameters:: enumeration - the enumeration class; r - the random number generator
Returns:: the randomly chosen enumeration constant

randomlyCreate

public <T> T randomlyCreate(Supplier<? extends T>... constructors)

Creates a randomly chosen object using one of the given constructors. Example usage (in the Source.newCar field of Rail Library):

 randomlyCreate(
        OpenCar::new,
        BoxCar::new,
        HopperCar::new
 )

Parameters:: constructors - constructors or other functions / lambda expressions which return object instances
Returns:: randomly chosen object, or null if there are no constructors provided
Since:: 7.3.5

randomlyCreate

public <T> T randomlyCreate(Class<? extends T>... classes)

Creates a randomly chosen object using one of the given constructors. Example usage (in the Source.newCar field of Rail Library):

 randomlyCreate(
        OpenCar.class,
        BoxCar.class,
        HopperCar.class
 )

Parameters:: classes - object classes
Returns:: randomly chosen and created object, or null if there are no classes provided
Since:: 7.3.5

randomlyCreate

public static <T> T randomlyCreate(Random r,
 Supplier<? extends T>... constructors)

Creates a randomly chosen object using one of the given constructors. The choice is made using the specified random number generator. Example usage (in the Source.newCar field of Rail Library):

 randomlyCreate( myRandom,
        OpenCar::new,
        BoxCar::new,
        HopperCar::new
 )

Parameters:: constructors - constructors or other functions / lambda expressions which return object instances
Returns:: randomly chosen object, or null if there are no constructors provided
Since:: 7.3.5

randomlyCreate

public static <T> T randomlyCreate(Random r,
 Class<? extends T>... classes)

Creates a randomly chosen object using one of the given constructors. The choice is made using the specified random number generator. Example usage (in the Source.newCar field of Rail Library):

 randomlyCreate( myRandom,
        OpenCar.class,
        BoxCar.class,
        HopperCar.class
 )

Parameters:: classes - object classes
Returns:: randomly chosen and created object, or null if there are no classes provided
Since:: 7.3.5

shuffle

public void shuffle(List<?> list)

Randomly permutes the specified list. All permutations occur with equal likelihood.
This implementation traverses the list backwards, from the last element up to the second, repeatedly swapping a randomly selected element into the "current position". Elements are randomly selected from the portion of the list that runs from the first element to the current position, inclusive.
This method runs in linear time.

Parameters:: list - the list to be shuffled.

bernoulli

public int bernoulli(double p)

Generates a sample of the Bernoulli distribution, i.e. 1 with probability p and 0 with probability 1 - p.

Parameters:: p - the probability of 1.
Returns:: the generated sample.

bernoulli

public static int bernoulli(double p,
 Random r)

Generates a sample of the Bernoulli distribution using the specified random number generator. For more details see bernoulli(double).

Parameters:: p - the probability of 1.; r - the random number generator.
Returns:: the generated sample.

beta

public double beta(double p,
 double q)

Generates a sample of the Beta distribution with min set to 0 and max set to 1. Is equivalent to beta(p, q, 0, 1). For more details see beta(double,double,double,double).

Parameters:: p - the lower shape parameter > 0.; q - the upper shape parameter > 0.
Returns:: the generated sample.

beta

public double beta(double p,
 double q,
 double min,
 double max)

Generates a sample of the Beta distribution.

The Beta distribution is a continuous distribution that has both upper and lower finite bounds. Because many real situations can be bounded in this way, the Beta distribution can be used empirically to estimate the actual distribution before much data is available. Even when data is available, the Beta distribution should fit most data in a reasonable fashion, although it may not be the best fit. The Uniform distribution is a special case of the Beta distribution with p, q = 1.

The Beta distribution can approach zero or infinity at either of its bounds, with p controlling the lower bound and q controlling the upper bound. Values of p, q < 1 cause the Beta distribution to approach infinity at that bound. Values of p, q > 1 cause the Beta distribution to be finite at that bound.

Beta distributions have many, many uses. As summarized in Johnson et al Beta distributions have been used to model distributions of hydrologic variables, logarithm of aerosol sizes, activity time in PERT analysis, isolation data in photovoltaic system analysis, porosity / void ratio of soil, phase derivatives in communication theory, size of progeny in Escherchia Coli, dissipation rate in breakage models, proportions in gas mixtures, steady-state reflectivity, clutter and power of radar signals, construction duration, particle size, tool wear, and others. Many of these uses occur because of the doubly bounded nature of the Beta distribution.

Parameters:: p - the lower shape parameter > 0.; q - the upper shape parameter > 0.; min - the minimum x value.; max - the maximum x value.
Returns:: the generated sample.

beta

public double beta(double min,
 double max,
 double p,
 double q,
 double shift,
 double stretch)

Generates a sample of truncated Beta distribution.
Distribution beta(p, q, 0, 1) is stretched by stretch coefficient, then shifted to the right by shift, after that it is truncated to fit in [min, max] interval. Truncation is performed by discarding every sample outside this interval and taking subsequent try.
For more details see beta(double, double, double, double)

Parameters:: min - the minimum value that this function will return. The distribution is truncated to return values above this. If the sample (stretched and shifted) is below this value it will be discarded and another sample will be drawn. Use -infinity for "No limit".; max - the maximum value that this function will return. The distribution is truncated to return values below this. If the sample (stretched and shifted) is bigger than this value it will be discarded and another sample will be drawn. Use +infinity for "No limit".; p - the lower shape parameter > 0. Also known as alpha parameter; q - the upper shape parameter > 0. Also known as beta parameter; shift - the shift parameter that indicates how much the (stretched) distribution will shifted to the right; stretch - the stretch parameter that indicates how much the distribution will be stretched
Returns:: the generated sample.

beta

public static double beta(double p,
 double q,
 double min,
 double max,
 Random r)

Generates a sample of the Beta distribution using the specified random number generator. For more details see beta(double,double,double,double).

Parameters:: p - the lower shape parameter > 0.; q - the upper shape parameter > 0.; min - the minimum x value.; max - the maximum x value.; r - the random number generator.
Returns:: the generated sample.

beta

public static double beta(double min,
 double max,
 double p,
 double q,
 double shift,
 double stretch,
 Random r)

Generates a sample of truncated Beta distribution using the specified random number generator.
Distribution beta(p, q, 0, 1) is stretched by stretch coefficient, then shifted to the right by shift, after that it is truncated to fit in [min, max] interval. Truncation is performed by discarding every sample outside this interval and taking subsequent try.
For more details see beta(double, double, double, double)

Parameters:: min - the minimum value that this function will return. The distribution is truncated to return values above this. If the sample (stretched and shifted) is below this value it will be discarded and another sample will be drawn. Use -infinity for "No limit".; max - the maximum value that this function will return. The distribution is truncated to return values below this. If the sample (stretched and shifted) is bigger than this value it will be discarded and another sample will be drawn. Use +infinity for "No limit".; p - the lower shape parameter > 0. Also known as alpha parameter; q - the upper shape parameter > 0. Also known as beta parameter; shift - the shift parameter that indicates how much the (stretched) distribution will shifted to the right; stretch - the stretch parameter that indicates how much the distribution will be stretched; r - the random number generator.
Returns:: the generated sample.

binomial

public int binomial(double p)

Generates a sample of the Binomial distribution with n set to 1. Is equivalent to binomial(p, 1). For more details see binomial(double,int).

Parameters:: p - the p parameter of the Binomial distribution, i.e. the probability of the event occurrence.
Returns:: the generated sample.

binomial

public int binomial(double p,
 int n)

Generates a sample of the Binomial distribution.

Parameters:: p - the probability of the event occurrence.; n - the number of trials.
Returns:: the generated sample.

binomial

public double binomial(double min,
 double max,
 double p,
 double n,
 double shift,
 double stretch)

Generates a sample of truncated Binomial distribution.
Distribution binomial(p, n) is stretched by stretch coefficient, then shifted to the right by shift, after that it is truncated to fit in [min, max] interval. Truncation is performed by discarding every sample outside this interval and taking subsequent try.
For more details see binomial(double, int)

Parameters:: min - the minimum value that this function will return. The distribution is truncated to return values above this. If the sample (stretched and shifted) is below this value it will be discarded and another sample will be drawn. Use -infinity for "No limit".; max - the maximum value that this function will return. The distribution is truncated to return values below this. If the sample (stretched and shifted) is bigger than this value it will be discarded and another sample will be drawn. Use +infinity for "No limit".; p - the probability of the event occurrence.; n - the number of trials. If n is not an integer it will be rounded to the nearest integer.; shift - the shift parameter that indicates how much the (stretched) distribution will shifted to the right; stretch - the stretch parameter that indicates how much the distribution will be stretched
Returns:: the generated sample, note that in common case it is not an integer (because of stretching).

binomial

public static int binomial(double p,
 int n,
 Random r)

Generates a sample of the Binomial distribution using the specified random number generator.

Parameters:: p - the probability of the event occurrence.; n - the number of trials.; r - the random number generator.
Returns:: the generated sample.

binomial

public static double binomial(double min,
 double max,
 double p,
 double n,
 double shift,
 double stretch,
 Random r)

Generates a sample of truncated Binomial distribution using the specified random number generator.
Distribution binomial(p, n) is stretched by stretch coefficient, then shifted to the right by shift, after that it is truncated to fit in [min, max] interval. Truncation is performed by discarding every sample outside this interval and taking subsequent try.
For more details see binomial(double, int)

Parameters:: min - the minimum value that this function will return. The distribution is truncated to return values above this. If the sample (stretched and shifted) is below this value it will be discarded and another sample will be drawn. Use -infinity for "No limit".; max - the maximum value that this function will return. The distribution is truncated to return values below this. If the sample (stretched and shifted) is bigger than this value it will be discarded and another sample will be drawn. Use +infinity for "No limit".; p - the probability of the event occurrence.; n - the number of trials. If n is not an integer it will be rounded to the nearest integer.; shift - the shift parameter that indicates how much the (stretched) distribution will shifted to the right; stretch - the stretch parameter that indicates how much the distribution will be stretched; r - the random number generator.
Returns:: the generated sample, note that in common case it is not an integer (because of stretching).

cauchy

public double cauchy(double lambda)

Generates a sample of the Cauchy distribution with theta set to 0. Is equivalent to cauchy(lambda, 0). For more details see cauchy(double,double).

Parameters:: lambda - the scaling parameter > 0.
Returns:: the generated sample.

cauchy

public double cauchy(double lambda,
 double theta)

Generates a sample of the Cauchy distribution.

The Cauchy distribution is an unbounded continuous distribution that has a sharp central peak but significantly broad tails. The tails are much heavier than the tails of the Normal distribution.

The Cauchy distribution can be used to represent the ratio of two equally distributed parameters in certain cases, e.g. the ratio of two normal parameters. This distribution has no finite moments because of its extensive tails. Thus it can also be used to generate wildly divergent data a long as the data has a central tendency.

Parameters:: lambda - the scaling parameter > 0.; theta - the mode, or central peak position.
Returns:: the generated sample.

cauchy

public static double cauchy(double lambda,
 double theta,
 Random r)

Generates a sample of the Cauchy distribution using the specified random number generator. For more details see cauchy(double,double).

Parameters:: lambda - the scaling parameter > 0.; theta - the mode, or central peak position.; r - the random number generator.
Returns:: the generated sample.

chi2

public double chi2(double nu)

Generates a sample of the Chi Squared distribution with min set to 0. Is equivalent to chi2(nu, 0). For more details see chi2(double,double)

Parameters:: nu - the shape parameter.
Returns:: the generated sample.

chi2

public double chi2(double nu,
 double min)

Generates a sample of the Chi Squared distribution.

The Chi Squared is a continuous distribution bounded on the lower side. Note that the Chi Squared distribution is a subset of the Gamma distribution with beta=2 and alpha=nμ/2. Like the Gamma distribution, it has three distinct regions. For nμ=2, the Chi Squared distribution reduces to the Exponential distribution, starting at a finite value at minimum x and decreasing monotonically thereafter. For nμ<2, the Chi Squared distribution tends to infinity at minimum x and decreases monotonically for increasing x. For nμ>2, the Chi Squared distribution is 0 at minimum x, peaks at a value that depends on nμ, decreasing monotonically thereafter.

Because the Chi Squared distribution does not have a scaling parameter, its utilization is somewhat limited. Frequently, this distribution will try to represent data with a clustered distribution with nμ less than 2. However, it can be viewed as the distribution of the sum of squares of independent unit normal variables with nμ degrees of freedom and is used in many statistical tests.

Examples of each of the regions of the Chi Squared distribution are shown above. Note that the peak of the distribution moves away from the minimum value for increasing nu, but with a much broader distribution.

Parameters:: nu - the shape parameter.; min - the minimum x value.
Returns:: the generated sample.

chi2

public static double chi2(double nu,
 double min,
 Random r)

Generates a sample of the Chi Squared distribution using the specified random number generator. For more details see chi2(double,double).

Parameters:: nu - the shape parameter.; min - the minimum x value.; r - the random number generator.
Returns:: the generated sample.

erlang

public double erlang(double beta,
 int m)

Generates a sample of the Erlang distribution with min set to 0. Is equivalent to erlang(beta, m, 0). For more details see erlang(double,int,double)/

Parameters:: beta - the scale factor > 0.; m - the shape factor (positive integer).
Returns:: the generated sample.

erlang

public double erlang(double beta,
 int m,
 double min)

Generates a sample of the Erlang distribution.

The Erlang distribution is a continuous distribution bounded on the lower side. It is a special case of the Gamma distribution where the parameter, m, is restricted to a positive integer. As such, the Erlang distribution has no region where F(x) tends to infinity at the minimum value of x [m<1], but does have a special case at m=1, where it reduces to the Exponential distribution.

The Erlang distribution has been used extensively in reliability and in queuing theory, thus in discrete event simulation, because it can be viewed as the sum of m exponentially distributed random variables, each with mean beta.

Parameters:: beta - the scale factor > 0.; m - the shape factor (positive integer).; min - the minimum x value.
Returns:: the generated sample.

erlang

public static double erlang(double beta,
 int m,
 double min,
 Random r)

Generates a sample of the Erlang distribution using the specified random number generator. For more details see erlang(double,int,double).

Parameters:: beta - the scale factor > 0.; m - the shape factor (positive integer).; min - the minimum x value.; r - the random number generator.
Returns:: the generated sample.

exponential

public double exponential()

Generates a sample of the Exponential distribution with lambda set to 1 and min set to 0. Is equivalent to exponential(1, 0). For more details see exponential(double,double)

Returns:: the generated sample.

exponential

public double exponential(double lambda)

Generates a sample of the Exponential distribution with min set to 0. Is equivalent to exponential(lambda, 0). For more details see exponential(double,double).

Parameters:: lambda - the shape parameter.
Returns:: the generated sample.

exponential

public double exponential(double lambda,
 double min)

Generates a sample of the Exponential distribution.

The Exponential distribution is a continuous distribution bounded on the lower side. It's shape is always the same, starting at a finite value at the minimum and continuously decreasing at larger x. The Exponential distribution decreases rapidly for increasing x.

The Exponential distribution is frequently used to represent the time between random occurrences, such as the time between arrivals at a specific location in a queuing model or the time between failures in reliability models. It has also been used to represent the services times of a specific operation. Further, it serves as an explicit manner in which the time dependence on noise may be treated. As such, these models are making explicit use of the lack of history dependence of the exponential distribution; it has the same set of probabilities when shifted in time. Even when Exponential models are known to be inadequate to describe the situation, their mathematical tractability provides a good starting point. Later, a more complex distribution such as Erlang or Weibull may be investigated.

Parameters:: lambda - the shape parameter.; min - the minimum x value.
Returns:: the generated sample.

exponential

public double exponential(double min,
 double max,
 double shift,
 double stretch)

Generates a sample of truncated Exponential distribution.
Distribution exponential(1, 0) is stretched by stretch coefficient, then shifted to the right by shift, after that it is truncated to fit in [min, max] interval. Truncation is performed by discarding every sample outside this interval and taking subsequent try.
For more details see exponential(double, double)

Parameters:: min - the minimum value that this function will return. The distribution is truncated to return values above this. If the sample (stretched and shifted) is below this value it will be discarded and another sample will be drawn. Use -infinity for "No limit".; max - the maximum value that this function will return. The distribution is truncated to return values below this. If the sample (stretched and shifted) is bigger than this value it will be discarded and another sample will be drawn. Use +infinity for "No limit".; shift - the shift parameter that indicates how much the (stretched) distribution will shifted to the right; stretch - the stretch parameter that indicates how much the distribution will be stretched
Returns:: the generated sample

exponential

public static double exponential(double lambda,
 double min,
 Random r)

Generates a sample of the Exponential distribution using the specified random number generator. For more details see exponential(double,double).

Parameters:: lambda - the shape parameter.; min - the minimum x value.; r - the random number generator.
Returns:: the generated sample.

exponential

public static double exponential(double min,
 double max,
 double shift,
 double stretch,
 Random r)

Generates a sample of truncated Exponential distribution using the specified random number generator.
Distribution exponential(1, 0) is stretched by stretch coefficient, then shifted to the right by shift, after that it is truncated to fit in [min, max] interval. Truncation is performed by discarding every sample outside this interval and taking subsequent try.
For more details see exponential(double, double)

Parameters:: min - the minimum value that this function will return. The distribution is truncated to return values above this. If the sample (stretched and shifted) is below this value it will be discarded and another sample will be drawn. Use -infinity for "No limit".; max - the maximum value that this function will return. The distribution is truncated to return values below this. If the sample (stretched and shifted) is bigger than this value it will be discarded and another sample will be drawn. Use +infinity for "No limit".; shift - the shift parameter that indicates how much the (stretched) distribution will shifted to the right; stretch - the stretch parameter that indicates how much the distribution will be stretched; r - the random number generator.
Returns:: the generated sample

gamma

public double gamma(double alpha,
 double beta)

Generates a sample of the Gamma distribution with min set to 0. Is equivalent to gamma(alpha, beta, 0). For more details see gamma(double,double,double).

Parameters:: alpha - the shape parameter > 0.; beta - the scale parameter > 0.
Returns:: the generated sample.

gamma

public double gamma(double alpha,
 double beta,
 double min)

Generates a sample of the Gamma distribution.

The Gamma distribution is a continuous distribution bounded at the lower side. It has three distinct regions. For alpha=1, the Gamma distribution reduces to the Exponential distribution, starting at a finite value at minimum x and decreasing monotonically thereafter. For alpha<1, the Gamma distribution tends to infinity at minimum x and decreases monotonically for increasing x. For alpha>1, the Gamma distribution is 0 at minimum x, peaks at a value that depends on both alpha and beta, decreasing monotonically thereafter. If alpha is restricted to positive integers, the Gamma distribution is reduced to the Erlang distribution.

Note that the Gamma distribution also reduces to the Chi Squared distribution for min=0, beta=2, and alpha=nμ/2. It can then be viewed as the distribution of the sum of squares of independent unit normal variables, with nμ degrees of freedom and is used in many statistical tests.

The Gamma distribution can also be used to approximate the Normal distribution, for large alpha, while maintaining its strictly positive values of x [actually (x-min)].

The Gamma distribution has been used to represent lifetimes, lead times, personal income data, a population about a stable equilibrium, interarrival times, and service times. In particular, it can represent lifetime with redundancy (see Johnson, Shooman).

Examples of each of the regions of the Gamma distribution are shown above. Note the peak of the distribution moving away from the minimum value for increasing alpha, but with a much broader distribution.

Parameters:: alpha - the shape parameter > 0.; beta - the scale parameter > 0.; min - the minimum x value.
Returns:: the generated sample.

gamma

public double gamma(double min,
 double max,
 double alpha,
 double shift,
 double stretch)

Generates a sample of truncated Gamma distribution.
Distribution gamma(alpha, 1, 0) is stretched by stretch coefficient, then shifted to the right by shift, after that it is truncated to fit in [min, max] interval. Truncation is performed by discarding every sample outside this interval and taking subsequent try.
For more details see gamma(double, double, double)

Parameters:: min - the minimum value that this function will return. The distribution is truncated to return values above this. If the sample (stretched and shifted) is below this value it will be discarded and another sample will be drawn. Use -infinity for "No limit".; max - the maximum value that this function will return. The distribution is truncated to return values below this. If the sample (stretched and shifted) is bigger than this value it will be discarded and another sample will be drawn. Use +infinity for "No limit".; alpha - the shape parameter > 0. Also known as order. If less than 1, then 1 will be used.; shift - the shift parameter that indicates how much the (stretched) distribution will shifted to the right; stretch - the stretch parameter that indicates how much the distribution will be stretched
Returns:: the generated sample

gamma

public static double gamma(double alpha,
 double beta,
 double min,
 Random r)

Generates a sample of the Gamma distribution using the specified random number generator. For more details see gamma(double,double,double).

Parameters:: alpha - the shape parameter > 0.; beta - the scale parameter > 0.; min - the minimum x value.; r - the random number generator.
Returns:: the generated sample.

gamma

public static double gamma(double min,
 double max,
 double alpha,
 double shift,
 double stretch,
 Random r)

Generates a sample of truncated Gamma distribution using the specified random number generator.
Distribution gamma(alpha, 1, 0) is stretched by stretch coefficient, then shifted to the right by shift, after that it is truncated to fit in [min, max] interval. Truncation is performed by discarding every sample outside this interval and taking subsequent try.
For more details see gamma(double, double, double)

Parameters:: min - the minimum value that this function will return. The distribution is truncated to return values above this. If the sample (stretched and shifted) is below this value it will be discarded and another sample will be drawn. Use -infinity for "No limit".; max - the maximum value that this function will return. The distribution is truncated to return values below this. If the sample (stretched and shifted) is bigger than this value it will be discarded and another sample will be drawn. Use +infinity for "No limit".; alpha - the shape parameter > 0. Also known as order. If less than 1, then 1 will be used.; shift - the shift parameter that indicates how much the (stretched) distribution will shifted to the right; stretch - the stretch parameter that indicates how much the distribution will be stretched; r - the random number generator.
Returns:: the generated sample

geometric

public int geometric(double p)

Generates a sample of the Geometric distribution.

The Geometric distribution is a discrete distribution bounded at 0 and unbounded on the high side. It is a special case of the Negative Binomial distribution. In particular, it is the direct discrete analog for the continuous Exponential distribution. The Geometric distribution has no history dependence, its probability at any value being independent of a shift along the axis.

Generated sample has the distribution of the number X of trials needed to get one success. Returned values are { 1, 2, 3, ... }. If you need 'geometric' in terms of "number of failures before the 1^st success", please use the expression geometric( p ) - 1.

The Geometric distribution has been used for inventory demand, marketing survey returns, a ticket control problem, and meteorological models.

Parameters:: p - the probability of occurrence.
Returns:: the generated sample.

geometric

public static int geometric(double p,
 Random r)

Generates a sample of the Geometric distribution using the specified random number generator. For more details see geometric(double).

Parameters:: p - the probability of occurrence.; r - the random number generator.
Returns:: the generated sample.

hypergeometric

public int hypergeometric(int ss,
 int dn,
 int ps)

Generates a sample of the Hypergeometric distribution.

The Hypergeometric distribution is a discrete distribution bounded by [0,s]. It describes the number of defects, x, in a sample of size s from a population of size N which has m total defects. The ratio of m/N = p is sometimes used rather than m to describe the probability of a defect. Note that defects may be interpreted as successes, in which case x is the number of failures until (s-x) successes. The sample is taken without replacement.

The Hypergeometric distribution is used to describe sampling from a population where an estimate of the total number of defects is desired. It has also been used to estimate the total population of species from a tagged subset. However, estimates of all three parameters from a data set are notoriously fickle and error prone, so use of these parameters to estimate a physical quantity without specifying at least one of the parameters is not recommended. (see Johnson et. al.1)

Parameters:: ss - the sample size.; dn - the number of defects in the population.; ps - the size of the population.
Returns:: the generated sample.

hypergeometric

public static int hypergeometric(int ss,
 int dn,
 int ps,
 Random r)

Generates a sample of the Hypergeometric distribution using the specified random number generator. For more details see hypergeometric(int,int,int).

Parameters:: ss - the sample size.; dn - the number of defects in the population.; ps - the size of the population.
Returns:: the generated sample.

gumbel1

public double gumbel1(double a,
 double b)

Generates a sample of the Type I Gumbel distribution.
This distribution has the form
p(x) = a b exp(-(b exp(-ax) + ax))

Parameters:: a - the 'a' parameter; b - the 'b' parameter
Returns:: the generated sample.

gumbel1

public static double gumbel1(double a,
 double b,
 Random r)

Generates a sample of the Type I Gumbel distribution using the specified random number generator. For more details see gumbel1(double,double).

Parameters:: a - the 'a' parameter; b - the 'b' parameter; r - the random number generator.
Returns:: the generated sample.

gumbel2

public double gumbel2(double a,
 double b)

Generates a sample of the Type II Gumbel distribution.
This distribution has the form
p(x) = b a x^-(a+1) exp(-b x^-a))

Parameters:: a - the 'a' parameter; b - the 'b' parameter
Returns:: the generated sample.

gumbel2

public static double gumbel2(double a,
 double b,
 Random r)

Generates a sample of the Type II Gumbel distribution using the specified random number generator. For more details see gumbel2(double,double).

Parameters:: a - the 'a' parameter; b - the 'b' parameter; r - the random number generator.
Returns:: the generated sample.

laplace

public double laplace(double phi,
 double theta)

Generates a sample of the Laplace distribution.

The Laplace distribution, sometimes called the double exponential distribution, is an unbounded continuous distribution that has a very sharp central peak, located at theta. The distribution scales with phi.

The Laplace distribution can be used to describe the difference of two independent, and equally distributed, exponentials. It is also used in error analysis. (see Johnson et.al.1)

Parameters:: phi - the scaling parameter.; theta - the mode, or central peak position.
Returns:: the generated sample.

laplace

public static double laplace(double phi,
 double theta,
 Random r)

Generates a sample of the Laplace distribution using the specified random number generator. For more details see laplace(double,double).

Parameters:: phi - the scaling parameter.; theta - the mode, or central peak position.; r - the random number generator.
Returns:: the generated sample.

logarithmic

public int logarithmic(double theta)

Generates a sample of the Logarithmic distribution.

The Logarithmic distribution is a discrete distribution bounded by [1,...]. Theta is related to the sample size and the mean.

The Logarithmic distribution is used to describe the diversity of a sample, that is, how many of a given type of thing are contained in a sample of things. For instance, this distribution has been used to describe the number of individuals of a given species in a sampling of mosquitoes, or the number of parts of a given type in a sampling of inventory. (see Johnson et.al.1)

Parameters:: theta - the shape/scale parameter 0<theta<1
Returns:: the generated sample.

logarithmic

public static int logarithmic(double theta,
 Random r)

Generates a sample of the Logarithmic distribution using the specified random number generator. For more details see logarithmic(double).

Parameters:: theta - the shape/scale parameter 0<theta<1; r - the random number generator.
Returns:: the generated sample.

logistic

public double logistic(double beta,
 double alpha)

Generates a sample of the Logistic distribution.

The Logistic distribution is an unbounded continuous distribution which is symmetrical about its mean [and shift parameter], alpha. The shape of the Logistic distribution is very much like the Normal distribution, except that the Logistic distribution has broader tails.

The Logistic function is most often used a growth model: for populations, for weight gain, for business failure, etc. The Logistic distribution can be can be used to test for the suitability of such a model, with transformation to get back to the minimum and maximum values for the Logistic function. Occasionally, the Logistic function is used in place of the Normal function where exceptional cases play a larger role.(see Johnson et. al.1)

Parameters:: beta - the scale parameter > 0.; alpha - the shift parameter.
Returns:: the generated sample.

logistic

public static double logistic(double beta,
 double alpha,
 Random r)

Generates a sample of the Logistic distribution using the specified random number generator. For more details see logistic(double,double).

Parameters:: beta - the scale parameter > 0.; alpha - the shift parameter.; r - the random number generator.
Returns:: the generated sample.

lognormal

public double lognormal(double mu,
 double sigma,
 double min)

Generates a sample of the Lognormal distribution.

The Lognormal distribution is a continuous distribution bounded on the lower side. It is always 0 at minimum x, rising to a peak that depends on both mu and sigma, then decreasing monotonically for increasing x.

By definition, the natural logarithm of a Lognormal random variable is a Normal random variable. Its parameters are usually given in terms of this included Normal.

The Lognormal distribution can also be used to approximate the Normal distribution, for small sigma, while maintaining its strictly positive values of x [actually (x-min)].

The Lognormal distribution is used in many different areas including the distribution of particle size in naturally occurring aggregates, dust concentration in industrial atmospheres, the distribution of minerals present in low, concentrations, duration of sickness absence, physicians' consultant time, lifetime distributions in reliability, distribution of income, employee retention, and many applications modeling weight, height, etc.(see Johnson et. al.1)

Parameters:: mu - the mean of the included Normal.; sigma - the standard deviation of the included Normal.; min - the minimum x value.
Returns:: the generated sample.

lognormal

public static double lognormal(double mu,
 double sigma,
 double min,
 Random r)

Generates a sample of the Lognormal distribution using the specified random number generator. For more details see lognormal(double,double,double).

Parameters:: mu - the mean of the included Normal.; sigma - the standard deviation of the included Normal.; min - the minimum x value.; r - the random number generator.
Returns:: the generated sample.

negativeBinomial

public int negativeBinomial(double p,
 double n)

Generates a sample of the Negative Binomial distribution.

The Negative Binomial distribution is a discrete distribution bounded on the low side at 0 and unbounded on the high side. The Negative Binomial distribution reduces to the Geometric Distribution for n = 1. The Negative Binomial distribution gives the total number of trials, x, to get k events (failures...), each with the constant probability, p, of occurring.

The Negative Binomial distribution has many uses; some occur because it provides a good approximation for the sum or mixing of other discrete distributions. By itself, it is used to model accident statistics, birth-and-death processes, market research and consumer expenditure, lending library data, biometrical data, and many others. (see Johnson et. al.1)

Parameters:: p - the probability of event (in the interval (0,1)).; n - the number of desired events.
Returns:: the generated sample.

negativeBinomial

public double negativeBinomial(double min,
 double max,
 double p,
 double n,
 double shift,
 double stretch)

Generates a sample of truncated Negative Binomial distribution.
Distribution negativeBinomial(p, n) is stretched by stretch coefficient, then shifted to the right by shift, after that it is truncated to fit in [min, max] interval. Truncation is performed by discarding every sample outside this interval and taking subsequent try.
For more details see negativeBinomial(double, double)

Parameters:: min - the minimum value that this function will return. The distribution is truncated to return values above this. If the sample (stretched and shifted) is below this value it will be discarded and another sample will be drawn. Use -infinity for "No limit".; max - the maximum value that this function will return. The distribution is truncated to return values below this. If the sample (stretched and shifted) is bigger than this value it will be discarded and another sample will be drawn. Use +infinity for "No limit".; p - the probability of the event occurrence.; n - the number of trials. If n is not an integer it will be rounded to the nearest integer.; shift - the shift parameter that indicates how much the (stretched) distribution will shifted to the right; stretch - the stretch parameter that indicates how much the distribution will be stretched
Returns:: the generated sample

negativeBinomial

public static int negativeBinomial(double p,
 double n,
 Random r)

Generates a sample of the Negative Binomial distribution using the specified random number generator. For more details see negativeBinomial(double,double).

Parameters:: p - the probability of event (in the interval (0,1)).; n - the number of desired events.; r - the random number generator.
Returns:: the generated sample.

negativeBinomial

public static double negativeBinomial(double min,
 double max,
 double p,
 double n,
 double shift,
 double stretch,
 Random r)

Generates a sample of truncated Negative Binomial distribution using the specified random number generator.
Distribution negativeBinomial(p, n) is stretched by stretch coefficient, then shifted to the right by shift, after that it is truncated to fit in [min, max] interval. Truncation is performed by discarding every sample outside this interval and taking subsequent try.
For more details see negativeBinomial(double, double)

Parameters:: min - the minimum value that this function will return. The distribution is truncated to return values above this. If the sample (stretched and shifted) is below this value it will be discarded and another sample will be drawn. Use -infinity for "No limit".; max - the maximum value that this function will return. The distribution is truncated to return values below this. If the sample (stretched and shifted) is bigger than this value it will be discarded and another sample will be drawn. Use +infinity for "No limit".; p - the probability of the event occurrence.; n - the number of trials. If n is not an integer it will be rounded to the nearest integer.; shift - the shift parameter that indicates how much the (stretched) distribution will shifted to the right; stretch - the stretch parameter that indicates how much the distribution will be stretched; r - the random number generator.
Returns:: the generated sample

normal

public double normal()

Generates a sample of the Normal distribution with mean set to 0 and sigma set to 1. Is equivalent to normal(1, 0). For more details see normal(double,double).

Returns:: the generated sample.

normal

public double normal(double sigma)

Generates a sample of the Normal distribution with mean set to 0. Is equivalent to normal(sigma, 0). For more details see normal(double,double)

Parameters:: sigma - the shape parameter = standard deviation.
Returns:: the generated sample.

normal

public double normal(double sigma,
 double mean)

Generates a sample of the Normal distribution.

The Normal distribution is an unbounded continuous distribution. It is sometimes called a Gaussian distribution or the bell curve. Because of its property of representing an increasing sum of small, independent errors, the Normal distribution finds many, many uses in statistics. It is wrongly used in many situations. Possibly, the most important test in the fitting of analytical distributions is the elimination of the Normal distribution as a possible candidate.

The Normal distribution is used as an approximation for the Binomial distribution when the values of n, p are in the appropriate range. The Normal distribution is frequently used to represent symmetrical data, but suffers from being unbounded in both directions. If the data is known to have a lower bound, it may be better represented by suitable parameterization of the Lognormal, Weibull or Gamma distributions. If the data is known to have both upper and lower bounds, the Beta distribution can be used, although much work has been done on truncated Normal distributions.

Parameters:: sigma - the shape parameter = standard deviation.; mean - the shift parameter = mean value.
Returns:: the generated sample.

normal

public double normal(double min,
 double max,
 double shift,
 double stretch)

Generates a sample of truncated Normal distribution.
Distribution normal(1, 0) is stretched by stretch coefficient, then shifted to the right by shift, after that it is truncated to fit in [min, max] interval. Truncation is performed by discarding every sample outside this interval and taking subsequent try.
For more details see normal(double, double)

Parameters:: min - the minimum value that this function will return. The distribution is truncated to return values above this. If the sample (stretched and shifted) is below this value it will be discarded and another sample will be drawn. Use -infinity for "No limit".; max - the maximum value that this function will return. The distribution is truncated to return values below this. If the sample (stretched and shifted) is bigger than this value it will be discarded and another sample will be drawn. Use +infinity for "No limit".; shift - the shift parameter that indicates how much the (stretched) distribution will shifted to the right = mean value; stretch - the stretch parameter that indicates how much the distribution will be stretched = standard deviation
Returns:: the generated sample

normal

public static double normal(double sigma,
 double mean,
 Random r)

Generates a sample of the Normal distribution using the specified random number generator. For more details see normal(double,double)

Parameters:: sigma - the shape parameter = standard deviation.; mean - the shift parameter = mean value.; r - the random number generator.
Returns:: the generated sample.

normal

public static double normal(double min,
 double max,
 double shift,
 double stretch,
 Random r)

Generates a sample of truncated Normal distribution using the specified random number generator.
Distribution normal(1, 0) is stretched by stretch coefficient, then shifted to the right by shift, after that it is truncated to fit in [min, max] interval. Truncation is performed by discarding every sample outside this interval and taking subsequent try.
For more details see normal(double, double)

Parameters:: min - the minimum value that this function will return. The distribution is truncated to return values above this. If the sample (stretched and shifted) is below this value it will be discarded and another sample will be drawn. Use -infinity for "No limit".; max - the maximum value that this function will return. The distribution is truncated to return values below this. If the sample (stretched and shifted) is bigger than this value it will be discarded and another sample will be drawn. Use +infinity for "No limit".; shift - the shift parameter that indicates how much the (stretched) distribution will shifted to the right = mean value; stretch - the stretch parameter that indicates how much the distribution will be stretched = standard deviation; r - the random number generator.
Returns:: the generated sample

pareto

public double pareto(double alpha)

Generates a sample of the Pareto distribution with min set to 1. Is equivalent to pareto(alpha, 1). For more details see pareto(double,double)

Parameters:: alpha - the scale parameter > 0.
Returns:: the generated sample.

pareto

public double pareto(double alpha,
 double min)

Generates a sample of the Pareto distribution.

The Pareto distribution is a continuous distribution bounded on the lower side. It has a finite value at the minimum x and decreases monotonically for increasing x. A Pareto random variable is the exponential of an Exponential random variable, and possesses many of the same characteristics.

The Pareto distribution has, historically, been used to represent the income distribution of a society. It is also used to model many empirical phenomena with very long right tails, such as city population sizes, occurrence of natural resources, stock price fluctuations, size of firms, brightness of comets, and error clustering in communication circuits.

The shape of the Pareto curve changes slowly with alpha, but the tail of the distribution increases dramatically with decreasing alpha.

Parameters:: alpha - the scale parameter > 0.; min - the minimum x value.
Returns:: the generated sample.

pareto

public static double pareto(double alpha,
 double min,
 Random r)

Generates a sample of the Pareto distribution using the specified random number generator. For more details see pareto(double,double).

Parameters:: alpha - the scale parameter > 0.; min - the minimum x value.; r - the random number generator.
Returns:: the generated sample.

pert

public double pert(double min,
 double max,
 double mode)

Generates a sample of the PERT distribution.

The PERT distribution is a continuous distribution bounded on both sides. Being an alternative distribution to the Triangular, it has the same three inputs, Minimum, Most Likely, and Maximum, but is a smooth curve that puts less emphasis on extreme values.

The PERT distribution is often used in risk analysis applications, e.g. in Monte Carlo simulations to assess cost and project duration risks.

Parameters:: min - the minimum x value.; max - the maximum x value.; mode - the most likely x value.
Returns:: the generated sample.

pert

public static double pert(double min,
 double max,
 double mode,
 Random r)

Generates a sample of the PERT distribution using the specified random number generator. For more details see pert(double, double, double)

Parameters:: min - the minimum x value.; mode - the most likely x value.; max - the maximum x value.; r - the random number generator.
Returns:: the generated sample.

poisson

public int poisson(double lambda)

Generates a sample of the Poisson distribution.

The Poisson distribution is a discrete distribution bounded at 0 on the low side and unbounded on the high side. The Poisson distribution is a limiting form of the Hypergeometric distribution.

The Poisson distribution finds frequent use because it represents the infrequent occurrence of events whose rate is constant. This includes many types of events in time or space such as arrivals of telephone calls, defects in semiconductor manufacturing, defects in all aspects of quality control, molecular distributions, stellar distributions, geographical distributions of plants, shot noise, etc. It is an important starting point in queuing theory and reliability theory. Note that the time between arrivals (defects) is Exponentially distributed, which makes this distribution a particularly convenient starting point even when the process is more complex.

The Poisson distribution peaks near lambda and falls off rapidly on either side.

Parameters:: lambda - the rate of occurrence.
Returns:: the generated sample.

poisson

public double poisson(double min,
 double max,
 double mean,
 double shift,
 double stretch)

Generates a sample of truncated Poisson distribution.
Distribution poisson(mean) is stretched by stretch coefficient, then shifted to the right by shift, after that it is truncated to fit in [min, max] interval. Truncation is performed by discarding every sample outside this interval and taking subsequent try.
For more details see poisson(double)

Parameters:: min - the minimum value that this function will return. The distribution is truncated to return values above this. If the sample (stretched and shifted) is below this value it will be discarded and another sample will be drawn. Use -infinity for "No limit".; max - the maximum value that this function will return. The distribution is truncated to return values below this. If the sample (stretched and shifted) is bigger than this value it will be discarded and another sample will be drawn. Use +infinity for "No limit".; mean - the mean value for the distribution = rate of event occurrence; shift - the shift parameter that indicates how much the (stretched) distribution will shifted to the right; stretch - the stretch parameter that indicates how much the distribution will be stretched
Returns:: the generated sample, note that in common case it is not an integer (because of stretching).

poisson

public static int poisson(double lambda,
 Random r)

Generates a sample of the Poisson distribution using the specified random number generator. For more details see poisson(double).

Parameters:: lambda - the rate of occurrence.; r - the random number generator.
Returns:: the generated sample.

poisson

public static double poisson(double min,
 double max,
 double mean,
 double shift,
 double stretch,
 Random r)

Generates a sample of truncated Poisson distribution using the specified random number generator.
Distribution poisson(mean) is stretched by stretch coefficient, then shifted to the right by shift, after that it is truncated to fit in [min, max] interval. Truncation is performed by discarding every sample outside this interval and taking subsequent try.
For more details see poisson(double)

Parameters:: min - the minimum value that this function will return. The distribution is truncated to return values above this. If the sample (stretched and shifted) is below this value it will be discarded and another sample will be drawn. Use -infinity for "No limit".; max - the maximum value that this function will return. The distribution is truncated to return values below this. If the sample (stretched and shifted) is bigger than this value it will be discarded and another sample will be drawn. Use +infinity for "No limit".; mean - the mean value for the distribution = rate of event occurrence; shift - the shift parameter that indicates how much the (stretched) distribution will shifted to the right; stretch - the stretch parameter that indicates how much the distribution will be stretched; r - the random number generator.
Returns:: the generated sample, note that in common case it is not an integer (because of stretching).

rayleigh

public double rayleigh(double sigma)

Generates a sample of the Rayleigh distribution with min set to 0. Is equivalent to rayleigh(sigma, 0). For more details see rayleigh(double,double)

Parameters:: sigma - the scale parameter > 0.
Returns:: the generated sample.

rayleigh

public double rayleigh(double sigma,
 double min)

Generates a sample of the Rayleigh distribution.

The Rayleigh distribution is a continuous distribution bounded on the lower side. It is a special case of the Weibull distribution with alpha =2 and beta/sqrt(2) =sigma. Because of the fixed shape parameter, the Rayleigh distribution does not change shape although it can be scaled.

The Rayleigh distribution is frequently used to represent lifetimes because its hazard rate increases linearly with time, e.g. the lifetime of vacuum tubes. This distribution also finds application in noise problems in communications.

Parameters:: sigma - the scale parameter > 0.; min - the minimum x value.
Returns:: the generated sample.

rayleigh

public static double rayleigh(double sigma,
 double min,
 Random r)

Generates a sample of the Rayleigh distribution using the specified random number generator. For more details see rayleigh(double,double)

Parameters:: sigma - the scale parameter > 0.; min - the minimum x value.; r - the random number generator.
Returns:: the generated sample.

triangularAV

public double triangularAV(double average,
 double variability)

Generates a sample of the Triangular distribution with mode set to average.
Defines distribution in the form like "roughly this, +/-20%".
Is equivalent to triangular( average * (1 - variability), average * (1 + variability) ) . For more details see triangular(double,double,double).

Parameters:: average - the most likely x value; variability - the percent [0...1] of average representing the half of distribution range, where the generated sample falls
Returns:: the generated sample.
Since:: 7.0

triangularAV

public static double triangularAV(double average,
 double variability,
 Random r)

Generates a sample of the Triangular distribution with mode set to average.
Defines distribution in the form like "roughly this, +/-20%".
Is equivalent to triangular( average * (1 - variability), average * (1 + variability) ) . For more details see triangular(double, double, double, Random). Uses the specified random number generator.

Parameters:: average - the most likely x value; variability - the percent [0...1] of average representing the half of distribution range, where the generated sample falls; r - the random number generator.
Returns:: the generated sample.
Since:: 7.1

triangular

public double triangular(double min,
 double max)

Generates a sample of the Triangular distribution with mode set to (min + max)/2. Is equivalent to triangular(min, (min + max)/2, max). For more details see triangular(double,double,double).

Parameters:: min - the minimum x value.; max - the maximum x value.
Returns:: the generated sample.

triangular

public double triangular(double min,
 double max,
 double mode)

Generates a sample of the Triangular distribution.

The Triangular distribution is a continuous distribution bounded on both sides.

The Triangular distribution is often used when no or little data is available; it is rarely an accurate representation of a data set. However, it is employed as the functional form of regions for fuzzy logic due to its ease of use.

The Triangular distribution can take on very skewed forms including negative skewness. For the exceptional cases where the mode is either the min or max, the Triangular distribution becomes a right triangle.

Parameters:: min - the minimum x value.; max - the maximum x value.; mode - the most likely x value.
Returns:: the generated sample.

triangular

public double triangular(double min,
 double max,
 double left,
 double mode,
 double right)

Generates a sample of truncated Triangular distribution.
Distribution triangular(left, right, mode) is stretched by stretch coefficient, then shifted to the right by shift, after that it is truncated to fit in [min, max] interval. Truncation is performed by discarding every sample outside this interval and taking subsequent try.
For more details see triangular(double, double, double)

Parameters:: min - the minimum value that this function will return. The distribution is truncated to return values above this. If the sample (stretched and shifted) is below this value it will be discarded and another sample will be drawn. Use -infinity for "No limit".; max - the maximum value that this function will return. The distribution is truncated to return values below this. If the sample (stretched and shifted) is bigger than this value it will be discarded and another sample will be drawn. Use +infinity for "No limit".; left - the minimum x value for triangular distribution.; mode - the most likely x value for triangular distribution.; right - the maximum x value for triangular distribution.
Returns:: the generated sample

triangular

public static double triangular(double min,
 double max,
 double mode,
 Random r)

Generates a sample of the Triangular distribution using the specified random number generator. For more details see triangular(double,double,double).

Parameters:: min - the minimum x value.; max - the maximum x value.; mode - the most likely x value.; r - the random number generator.
Returns:: the generated sample.

triangular

public static double triangular(double min,
 double max,
 double left,
 double mode,
 double right,
 Random r)

Generates a sample of truncated Triangular distribution using the specified random number generator.
Distribution triangular(left, right, mode) is stretched by stretch coefficient, then shifted to the right by shift, after that it is truncated to fit in [min, max] interval. Truncation is performed by discarding every sample outside this interval and taking subsequent try.
For more details see triangular(double, double, double)

Parameters:: min - the minimum value that this function will return. The distribution is truncated to return values above this. If the sample (stretched and shifted) is below this value it will be discarded and another sample will be drawn. Use -infinity for "No limit".; max - the maximum value that this function will return. The distribution is truncated to return values below this. If the sample (stretched and shifted) is bigger than this value it will be discarded and another sample will be drawn. Use +infinity for "No limit".; left - the minimum x value for triangular distribution.; mode - the most likely x value for triangular distribution.; right - the maximum x value for triangular distribution.; r - the random number generator.
Returns:: the generated sample

weibull

public double weibull(double beta,
 double alpha)

Generates a sample of the Weibull distribution with min set to 0. Is equivalent to weibull(alpha, beta, 0). For more details see weibull(double,double,double).

Parameters:: beta - the scale parameter > 0.; alpha - the shape parameter > 0.
Returns:: the generated sample.

weibull

public double weibull(double alpha,
 double beta,
 double min)

Generates a sample of the Weibull distribution.

The Weibull distribution is a continuous distribution bounded on the lower side. Because it provides one of the limiting distributions for extreme values, it is also referred to as the Frechet distribution and the Weibull-Gnedenko distribution.

Like the Gamma distribution, it has three distinct regions. For alpha=1, beta=1/lambda the Weibull distribution is reduced to the Exponential distribution, starting at a finite value at minimum x and decreasing monotonically thereafter. For alpha<1, the Weibull distribution tends to infinity at minimum x and decreases monotonically for increasing x. for alpha>1, the Weibull distribution is 0 at minimum x, peaks at a value that depends on both alpha and beta, decreasing monotonically thereafter. Uniquely, the Weibull distribution has negative skewness for alpha>3.6.

The Weibull distribution can also be used to approximate the Normal distribution for alpha=3.6, while maintaining its strictly positive values of x [actually (x-min)], although the kurtosis is slightly smaller than 3, the Normal value.

The Weibull distribution derived its popularity from its use to model the strength of materials, and has since been used to model just about everything. In particular, the Weibull distribution is used to represent wearout lifetimes in reliability, wind speed, rainfall intensity, health related issues, germination, duration of industrial stoppages, migratory systems, and thunderstorm data.

Parameters:: alpha - the shape parameter > 0.; beta - the scale parameter > 0.; min - the minimum x value.
Returns:: the generated sample.

weibull

public double weibull(double min,
 double max,
 double alpha,
 double shift,
 double stretch)

Generates a sample of truncated Weibull distribution.
Distribution weibull(alpha, stretch, 0) is shifted to the right by shift and then truncated to fit in [min, max] interval. Truncation is performed by discarding every sample outside this interval and taking subsequent try.
For more details see weibull(double, double, double)

Parameters:: min - the minimum value that this function will return. The distribution is truncated to return values above this. If the sample (stretched and shifted) is below this value it will be discarded and another sample will be drawn. Use -infinity for "No limit".; max - the maximum value that this function will return. The distribution is truncated to return values below this. If the sample (stretched and shifted) is bigger than this value it will be discarded and another sample will be drawn. Use +infinity for "No limit".; alpha - the shape parameter > 0.; shift - the shift parameter that indicates how much the (stretched) distribution will shifted to the right; stretch - the scale parameter.
Returns:: the generated sample

weibull

public static double weibull(double alpha,
 double beta,
 double min,
 Random r)

Generates a sample of the Weibull distribution using the specified random number generator. For more details see weibull(double,double,double).

Parameters:: alpha - the shape parameter > 0.; beta - the scale parameter > 0.; min - the minimum x value.; r - the random number generator.
Returns:: the generated sample.

weibull

public static double weibull(double min,
 double max,
 double alpha,
 double shift,
 double stretch,
 Random r)

Generates a sample of truncated Weibull distribution using the specified random number generator.
Distribution weibull(alpha, stretch, 0) is shifted to the right by shift and then truncated to fit in [min, max] interval. Truncation is performed by discarding every sample outside this interval and taking subsequent try.
For more details see weibull(double, double, double)

Parameters:: min - the minimum value that this function will return. The distribution is truncated to return values above this. If the sample (stretched and shifted) is below this value it will be discarded and another sample will be drawn. Use -infinity for "No limit".; max - the maximum value that this function will return. The distribution is truncated to return values below this. If the sample (stretched and shifted) is bigger than this value it will be discarded and another sample will be drawn. Use +infinity for "No limit".; alpha - the shape parameter > 0.; shift - the shift parameter that indicates how much the (stretched) distribution will shifted to the right; stretch - the scale parameter.; r - the random number generator.
Returns:: the generated sample

sqr

public static final double sqr(double v)

Returns the square of the given value (v²)

Parameters:: v - the value
Returns:: v * v

isFinite

public static boolean isFinite(double v)

Returns true if the given value is finite (not +/-infinity or NaN)

Parameters:: v - the value
Returns:: the result of -infinity < v && v < +infinity

getLength

public static final double getLength(double dx,
 double dy)

Returns the length of the vector (dx, dy)

Parameters:: dx - the x coordinate of the vector; dy - the y coordinate of the vector
Returns:: the length of the vector (dx, dy)

getLengthSq

public static final double getLengthSq(double dx,
 double dy)

Returns the square of length of the vector (dx, dy)

Parameters:: dx - the x coordinate of the vector; dy - the y coordinate of the vector
Returns:: the length of the vector (dx, dy)

getLength

public static final double getLength(double dx,
 double dy,
 double dz)

Returns the length of the vector (dx, dy, dz)

Parameters:: dx - the x coordinate of the vector; dy - the y coordinate of the vector; dz - the z coordinate of the vector
Returns:: the length (euclidean norm) of the vector (dx, dy, dz)

getLengthSq

public static final double getLengthSq(double dx,
 double dy,
 double dz)

Returns the square of length of the vector (dx, dy, dz)

Parameters:: dx - the x coordinate of the vector; dy - the y coordinate of the vector; dz - the z coordinate of the vector
Returns:: the length (euclidean norm) of the vector (dx, dy, dz)

getDistance

public static final double getDistance(double x1,
 double y1,
 double x2,
 double y2)

Returns the distance between two given points (x1, y1) and (x2, y2)

Parameters:: x1 - the x coordinate of the first point; y1 - the y coordinate of the first point; x2 - the x coordinate of the second point; y2 - the y coordinate of the second point
Returns:: the distance between points

getDistanceSq

public static final double getDistanceSq(double x1,
 double y1,
 double x2,
 double y2)

Returns the square of the distance between two given points (x1, y1) and (x2, y2).
This method is useful for comparing different distances, finding nearest point etc. because of better performance compared with getDistance()

Parameters:: x1 - the x coordinate of the first point; y1 - the y coordinate of the first point; x2 - the x coordinate of the second point; y2 - the y coordinate of the second point
Returns:: the square of the distance between points

getDistance

public static final double getDistance(double x1,
 double y1,
 double z1,
 double x2,
 double y2,
 double z2)

Returns the distance between two given points (x1, y1, z1) and (x2, y2, z2)

Parameters:: x1 - the x coordinate of the first point; y1 - the y coordinate of the first point; z1 - the z coordinate of the first point; x2 - the x coordinate of the second point; y2 - the y coordinate of the second point; z2 - the z coordinate of the second point
Returns:: the distance between points

getDistanceGIS

public static double getDistanceGIS(double latitude1,
 double longitude1,
 double latitude2,
 double longitude2)

Returns the distance measured in meters between two given points

Parameters:: latitude1 - the latitude of first point measured in degrees (-90 ... (South) ... 0 ... (North) ... +90); longitude1 - the longitude of first point measured in degrees (-180 ... (West) ... 0 ... (East) ... +180); latitude2 - the latitude of second point measured in degrees (-90 ... (South) ... 0 ... (North) ... +90); longitude2 - the longitude of second point measured in degrees (-180 ... (West) ... 0 ... (East) ... +180)
Returns:: distance between two points measured in meters

getDistanceGIS

public static double getDistanceGIS(double latitude1,
 double longitude1,
 double latitude2,
 double longitude2,
 LengthUnits units)

Returns the distance measured in meters between two given points

Parameters:: latitude1 - the latitude of first point measured in degrees (-90 ... (South) ... 0 ... (North) ... +90); longitude1 - the longitude of first point measured in degrees (-180 ... (West) ... 0 ... (East) ... +180); latitude2 - the latitude of second point measured in degrees (-90 ... (South) ... 0 ... (North) ... +90); longitude2 - the longitude of second point measured in degrees (-180 ... (West) ... 0 ... (East) ... +180); units - the units of length
Returns:: distance between two points measured in given length units

getDistanceSq

public static final double getDistanceSq(double x1,
 double y1,
 double z1,
 double x2,
 double y2,
 double z2)

Returns the square of the distance between two given points (x1, y1, z1) and (x2, y2, z2).
This method is useful for comparing different distances, finding nearest point etc. because of better performance compared with getDistance()

Parameters:: x1 - the x coordinate of the first point; y1 - the y coordinate of the first point; z1 - the z coordinate of the first point; x2 - the x coordinate of the second point; y2 - the y coordinate of the second point; z2 - the z coordinate of the second point
Returns:: the square of the distance between points

isPointOnTheSameLine

public static final boolean isPointOnTheSameLine(double x1,
 double y1,
 double x2,
 double y2,
 double x3,
 double y3)

Tests if the three point lie on the same line

Parameters:: x1 - the X coordinate of point 1; y1 - the Y coordinate of point 1; x2 - the X coordinate of point 2; y2 - the Y coordinate of point 2; x3 - the X coordinate of point 3; y3 - the Y coordinate of point 3
Returns:: true if 3 points lie on one line, otherwise false
Since:: 6.8

isPointInsideRay

public static final boolean isPointInsideRay(double x1,
 double y1,
 double x2,
 double y2,
 double px,
 double py)

Tests if the specified point is inside the given ray.

Parameters:: x1 - the x coordinate of the start point of the ray; y1 - the y coordinate of the start point of the ray; x2 - the x coordinate of some point belonging the ray; y2 - the y coordinate of some point belonging the ray; px - the X coordinate of the point to test; py - the Y coordinate of the point to test
Returns:: true if the point is lying on the ray, otherwise false
Since:: 7.0

isPointInsideSegment

public static final boolean isPointInsideSegment(double x1,
 double y1,
 double x2,
 double y2,
 double px,
 double py)

Tests if the specified point is inside the given segment.

Parameters:: x1 - the x coordinate of the first point of the segment; y1 - the y coordinate of the first point of the segment; x2 - the x coordinate of the second point of the segment; y2 - the y coordinate of the second point of the segment; px - the X coordinate of the point to test; py - the Y coordinate of the point to test
Returns:: true if the point is within the segment, otherwise false
Since:: 7.0

isPointInsideRectangle

public static final boolean isPointInsideRectangle(double rx,
 double ry,
 double rw,
 double rh,
 double px,
 double py)

Tests if the specified point is inside the given rectangle.

Parameters:: rx - the X coordinate of top-left corner of the rectangle; ry - the Y coordinate of top-left corner of the rectangle; rw - the width of the rectangle; rh - the height of the rectangle; px - the X coordinate of the point to test; py - the Y coordinate of the point to test
Returns:: true if the point is within the rectangle boundary, otherwise false
Since:: 6.8

isLineIntersectingLine

public static final boolean isLineIntersectingLine(double x1,
 double y1,
 double x2,
 double y2,
 double x3,
 double y3,
 double x4,
 double y4)

Tests if the line segment from (x1,y1) to (x2,y2) intersects the line segment from (x3,y3) to (x4,y4).

Parameters:: x1 - the X coordinate of the start point of the first specified line segment; y1 - the Y coordinate of the start point of the first specified line segment; x2 - the X coordinate of the end point of the first specified line segment; y2 - the Y coordinate of the end point of the first specified line segment; x3 - the X coordinate of the start point of the second specified line segment; y3 - the Y coordinate of the start point of the second specified line segment; x4 - the X coordinate of the end point of the second specified line segment; y4 - the Y coordinate of the end point of the second specified line segment
Returns:: true if the first specified line segment and the second specified line segment intersect each other; false otherwise.
Since:: 6.8

isRayIntersectingSegment

public static final boolean isRayIntersectingSegment(double rx1,
 double ry1,
 double rx2,
 double ry2,
 double sx1,
 double sy1,
 double sx2,
 double sy2)

Tests if the ray from (rx1,ry1) in direction to (rx2,ry2) intersects the line segment from (lx1,ly1) to (lx2,ly2).

Parameters:: rx1 - the X coordinate of the start point of the ray; ry1 - the Y coordinate of the start point of the ray; rx2 - the X coordinate of some point on the ray; ry2 - the Y coordinate of some point on the ray; sx1 - the X coordinate of the start point of the line segment; sy1 - the Y coordinate of the start point of the line segment; sx2 - the X coordinate of the end point of the segment; sy2 - the Y coordinate of the end point of the segment
Returns:: true if the first specified ray and the second specified line segment intersect each other; false otherwise.
Since:: 7.0

isLineIntersectingRectangle

public static final boolean isLineIntersectingRectangle(double x1,
 double y1,
 double x2,
 double y2,
 double rx,
 double ry,
 double rw,
 double rh)

Check if the line intersects the given rectangle

Parameters:: x1 - the X coordinate of the start point of the specified line; y1 - the Y coordinate of the start point of the specified line; x2 - the X coordinate of the end point of the specified line; y2 - the Y coordinate of the end point of the specified line; rx - the X coordinate of top-left corner of the rectangle; ry - the Y coordinate of top-left corner of the rectangle; rw - the width of the rectangle; rh - the height of the rectangle
Returns:: true if the line intersects rectangle (has at least one common point, even lying on the rectangle's boundary)
Since:: 6.8

getDistanceFromPointToLine

public static final double getDistanceFromPointToLine(double x1,
 double y1,
 double x2,
 double y2,
 double px,
 double py)

Returns the distance from a point to a line. The distance measured is the distance between the specified point and the closest point on the infinitely-extended line defined by the specified coordinates. If the specified point intersects the line, this method returns 0.0.

Parameters:

x1 - the X coordinate of the start point of the specified line

y1 - the Y coordinate of the start point of the specified line

x2 - the X coordinate of the end point of the specified line

y2 - the Y coordinate of the end point of the specified line

px - the X coordinate of the specified point being measured against the specified line

py - the Y coordinate of the specified point being measured against the specified line

Returns:

a double value that is the distance from the specified point to the specified line.

Since:

6.8

See Also:

getDistanceFromPointToSegment(double, double, double, double, double, double)

getDistanceFromPointToLineSq

public static final double getDistanceFromPointToLineSq(double x1,
 double y1,
 double x2,
 double y2,
 double px,
 double py)

Returns the square of the distance from a point to a line. The distance measured is the distance between the specified point and the closest point on the infinitely-extended line defined by the specified coordinates. If the specified point intersects the line, this method returns 0.0.

Parameters:

x1 - the X coordinate of the start point of the specified line

y1 - the Y coordinate of the start point of the specified line

x2 - the X coordinate of the end point of the specified line

y2 - the Y coordinate of the end point of the specified line

px - the X coordinate of the specified point being measured against the specified line

py - the Y coordinate of the specified point being measured against the specified line

Returns:

a double value that is the square of the distance from the specified point to the specified line.

Since:

6.8

See Also:

getDistanceFromPointToSegmentSq(double, double, double, double, double, double)

getDistanceFromPointToSegment

public static final double getDistanceFromPointToSegment(double x1,
 double y1,
 double x2,
 double y2,
 double px,
 double py)

Returns the distance from a point to a line segment. The distance measured is the distance between the specified point and the closest point between the specified end points. If the specified point intersects the line segment in between the end points, this method returns 0.0.

Parameters:

x1 - the X coordinate of the start point of the specified line segment

y1 - the Y coordinate of the start point of the specified line segment

x2 - the X coordinate of the end point of the specified line segment

y2 - the Y coordinate of the end point of the specified line segment

px - the X coordinate of the specified point being measured against the specified line segment

py - the Y coordinate of the specified point being measured against the specified line segment

Returns:

a double value that is the distance from the specified point to the specified line segment.

Since:

6.8

See Also:

getDistanceFromPointToLine(double, double, double, double, double, double)

getDistanceFromPointToSegmentSq

public static final double getDistanceFromPointToSegmentSq(double x1,
 double y1,
 double x2,
 double y2,
 double px,
 double py)

Returns the square of the distance from a point to a line segment. The distance measured is the distance between the specified point and the closest point between the specified end points. If the specified point intersects the line segment in between the end points, this method returns 0.0.

Parameters:

x1 - the X coordinate of the start point of the specified line segment

y1 - the Y coordinate of the start point of the specified line segment

x2 - the X coordinate of the end point of the specified line segment

y2 - the Y coordinate of the end point of the specified line segment

px - the X coordinate of the specified point being measured against the specified line segment

py - the Y coordinate of the specified point being measured against the specified line segment

Returns:

a double value that is the square of the distance from the specified point to the specified line segment.

Since:

6.8

See Also:

getDistanceFromPointToLineSq(double, double, double, double, double, double)

getDistanceFromPointToSegment

public static final double getDistanceFromPointToSegment(double x1,
 double y1,
 double z1,
 double x2,
 double y2,
 double z2,
 double px,
 double py,
 double pz)

Returns the distance from a point to a line segment. The distance measured is the distance between the specified point and the closest point between the specified end points. If the specified point intersects the line segment in between the end points, this method returns 0.0.

Parameters:

x1 - the X coordinate of the start point of the specified line segment

y1 - the Y coordinate of the start point of the specified line segment

z1 - the Z coordinate of the start point of the specified line segment

x2 - the X coordinate of the end point of the specified line segment

y2 - the Y coordinate of the end point of the specified line segment

z2 - the Z coordinate of the end point of the specified line segment

px - the X coordinate of the specified point being measured against the specified line segment

py - the Y coordinate of the specified point being measured against the specified line segment

pz - the Z coordinate of the specified point being measured against the specified line segment

Returns:

a double value that is the distance from the specified point to the specified line segment.

Since:

7.0

See Also:

getDistanceFromPointToLine(double, double, double, double, double, double)

getDistanceFromPointToSegmentSq

public static final double getDistanceFromPointToSegmentSq(double x1,
 double y1,
 double z1,
 double x2,
 double y2,
 double z2,
 double px,
 double py,
 double pz)

Returns the square of the distance from a point to a line segment. The distance measured is the distance between the specified point and the closest point between the specified end points. If the specified point intersects the line segment in between the end points, this method returns 0.0.

Parameters:

x1 - the X coordinate of the start point of the specified line segment

y1 - the Y coordinate of the start point of the specified line segment

x2 - the X coordinate of the end point of the specified line segment

y2 - the Y coordinate of the end point of the specified line segment

px - the X coordinate of the specified point being measured against the specified line segment

py - the Y coordinate of the specified point being measured against the specified line segment

Returns:

a double value that is the square of the distance from the specified point to the specified line segment.

Since:

7.0

See Also:

getDistanceFromPointToLineSq(double, double, double, double, double, double)

getNearestPointOnSegment

public static final Point getNearestPointOnSegment(Point out,
 double x1,
 double y1,
 double x2,
 double y2,
 double px,
 double py)

Finds a point on a segment that is closest to a given point. It may be either a height point or one of the segment ends.
Z-coordinate of output point isn't changed

Parameters:: out - the point to write result to, may be null - in this case new Point instance will be created; x1 - the x coordinate of the first point of the segment; y1 - the y coordinate of the first point of the segment; x2 - the x coordinate of the second point of the segment; y2 - the y coordinate of the second point of the segment; px - the x coordinate of the given point; py - the y coordinate of the given point
Returns:: out the point on segment
Since:: 7.0

createTrajectoryGIS

@Deprecated
public static float[] createTrajectoryGIS(double lonFrom,
 double latFrom,
 double lonTo,
 double latTo,
 int numberOfSegments)

Deprecated.

getNearestPointOnSegment

public static final Point getNearestPointOnSegment(Point out,
 double x1,
 double y1,
 double z1,
 double x2,
 double y2,
 double z2,
 double px,
 double py,
 double pz)

Finds a point on a segment that is closest to a given point. It may be either a height point or one of the segment ends.

Parameters:: out - the point to write result to, may be null - in this case new Point instance will be created; x1 - the x coordinate of the first point of the segment; y1 - the y coordinate of the first point of the segment; z1 - the z coordinate of the first point of the segment; x2 - the x coordinate of the second point of the segment; y2 - the y coordinate of the second point of the segment; z2 - the z coordinate of the second point of the segment; px - the x coordinate of the given point; py - the y coordinate of the given point; pz - the z coordinate of the given point
Returns:: out the point on segment
Since:: 7.0

zidz

public static double zidz(double a,
 double b)

Tries to divide the first argument by the second. If the result is infinity or not a number, returns 0, otherwise returns the division result.

Parameters:: a - first value; b - second value
Returns:: division result or 0

xidz

public static double xidz(double a,
 double b,
 double x)

Tries to divide the first argument by the second. If the result is infinity or not a number, returns the third argument, otherwise returns the division result.

Parameters:: a - first value; b - second value; x - defines return result in case of unsuccessful division
Returns:: division result or x

limitMin

public static double limitMin(double min,
 double x)

Returns x if it is greater or equal to min, otherwise returns min. May be more self-explanatory than the function max as explicitly says "x is left-limited by min".

Parameters:: min - left bound; x - the value
Returns:: x or min

limitMin

public static int limitMin(int min,
 int x)

Returns x if it is greater or equal to min, otherwise returns min. May be more self-explanatory than the function max as explicitly says "x is left-limited by min".

Parameters:: min - left bound; x - the value
Returns:: x or min

limitMax

public static double limitMax(double x,
 double max)

Returns x if it is less or equal to max, otherwise returns max. May be more self-explanatory than the function min as explicitly says "x is right-limited by max".

Parameters:: x - the value; max - right bound
Returns:: x or max

limitMax

public static int limitMax(int x,
 int max)

Returns x if it is less or equal to max, otherwise returns max. May be more self-explanatory than the function min as explicitly says "x is right-limited by max".

Parameters:: x - the value; max - right bound
Returns:: x or max

limit

public static double limit(double min,
 double x,
 double max)

Returns x if it is within [min,max] interval, otherwise returns the closest bound.

Parameters:: min - left bound; x - the value; max - right bound
Returns:: min, x or max

limit

public static int limit(int min,
 int x,
 int max)

Returns x if it is within [min,max] interval, otherwise returns the closest bound.

Parameters:: min - left bound; x - the value; max - right bound
Returns:: min, x or max

gammaLog

public static double gammaLog(double x)

Returns the natural logarithm of the gamma function of x:
ln(Γ(x)).
The gamma function is an extension of the factorial function that works on all positive values of x.
If n is a positive integer, then: Γ(n) = (n - 1)!.

The gammaLog function may be useful in System Dynamics models for computing combinatorial factors.

Parameters:: x - the value.
Returns:: ln(Γ(x))

step

public double step(double height,
 double stepTime)

Returns 0 until the stepTime and then returns height

Parameters:: height -; stepTime -
Returns:: 0 until the stepTime and then returns height

pulse

public double pulse(double startTime,
 double pulseWidth)

Returns 1, starting at startTime, and lasting for interval pulseWidth; 0 is returned at all other times.

Parameters:: startTime - the pulse start time; pulseWidth - the length of pulse time interval
Returns:: 1 for pulse (when time is within [start, start+width)), otherwise 0

pulseTrain

public double pulseTrain(double startTime,
 double pulseWidth,
 double timeBetweenPulses,
 double endTime)

Returns 1, starting at startTime, and lasting for interval pulseWidth and then repeats this pattern every timeBetweenPulses time until endTime; 0 is returned at all other times.
If the value of timeBetweenPulses is smaller than pulseWidth then 1 will be returned between startTime and endTime.

Parameters:: startTime - the first pulse start time; pulseWidth - the length of pulse time interval; timeBetweenPulses - the length of time interval between starts pulses; endTime - the end time of pulses, since this time the method returns 0
Returns:: 1 for pulses, 0 otherwise

ramp

public double ramp(double slope,
 double startTime,
 double endTime)

Returns 0 until the startTime and then slopes upward until endTime and then holds constant.

Parameters:: slope - the coefficient of returned value growth between startTime and endTime; startTime - the start time of the ramp; endTime - the end time of the ramp
Returns:: zero until the startTime, then slope until endTime and then constant.

quantum

public static double quantum(double value,
 double quantizer)

Returns the number smaller (by absolute value) than or equal to value that is an integer multiple of quantizer.
If quantizer is less than or equal to zero, then value is returned unchanged.
For example, quantum(PI, 0.01) will return 3.14

Parameters:: value -; quantizer -
Returns:: quantized value

difference

public static double difference(DataSet ds,
 TableFunction f)

Difference function which is always not-negative and reflects difference between given data set and table function in their common arguments range

Parameters:: ds - data set; f - table function with linear interpolation
Returns:: square root of the average of square of difference between linearly interpolated data set and table function
The integration range is the intersection of argument ranges of data set and function

difference

public static double difference(DataSet ds1,
 DataSet ds2)

Difference function which is always not-negative and reflects difference between 2 given data sets in their common arguments range

Parameters:: ds1 - data set; ds2 - data set
Returns:: square root of the average of square of difference between linearly interpolated data sets
The integration range is the intersection of argument ranges of data sets

atan2fast

public static double atan2fast(double y,
 double x)

Returns the angle theta from the conversion of rectangular coordinates (x, y) to polar coordinates (r, theta). This method computes the phase theta by computing an arc tangent of y/x in the range of -pi to pi. Comparing with Math.atan2(double, double), instead of computation of value every time, this method uses precomputed table of values Math.atan2(double, double). Therefore atan2fast is approximately 20 times faster than Math.atan2(double, double). Average error (comparing to Math.atan2(double, double)) is 3e-5 radians, max error is 1e-4 radians. This Method does not accept special arguments like NaN or Infinities. It's recommended to use when you don't need extremely high accuracy and have assurance that your arguments are finite.

Parameters:: y -; x -
Returns:: arctangent(y/x)

toModelTime

public double toModelTime(double value,
 TimeUnits units)

Converts the given timeout (in units) to model time units (used e.g. in basic API of events)

Parameters:: value - the value in the given units; units - units
Returns:: the converted value in model time units

toTimeUnits

public double toTimeUnits(double modelTimeValue,
 TimeUnits units)

Converts the timeout (in model time units) to the given units

Parameters:: modelTimeValue - the value in model time units (used e.g. in basic API of events); units - units
Returns:: the converted value in the given units

toModelRate

@AnyLogicInternalCodegenAPI
public double toModelRate(double value,
 RateUnits units)

Converts the given rate (in rate units) to units based on model time units (used e.g. in basic API of events)

Parameters:: value - the value in the given units; units - units
Returns:: the value converted to units based on model time units

toRateUnits

@AnyLogicInternalCodegenAPI
public double toRateUnits(double modelRateValue,
 RateUnits units)

Converts the rate (in units based on model time units) to the given units

Parameters:: modelRateValue - the value in units based on model time units (used e.g. in basic API of events); units - units
Returns:: the converted value in the given units

millisecond

public double millisecond()

Returns a time value equal to one millisecond according to the current time unit setting.

Returns:: a time value equal to one millisecond

second

public double second()

Returns a time value equal to one second according to the current time unit setting.

Returns:: a time value equal to one second

minute

public double minute()

Returns a time value equal to one minute according to the current time unit setting.

Returns:: a time value equal to one minute

hour

public double hour()

Returns a time value equal to one hour according to the current time unit setting.

Returns:: a time value equal to one hour

day

public double day()

Returns a time value equal to 24-hour day according to the current time unit setting. Note that in some cases the returned may be not equal to the real day length (which can be 23 or 25 hours during daylight saving time tweaks). If you need the precise "one day" timeout value, please call toTimeout(AgentConstants.DAY, 1) method

Returns:: a time value equal to 24-hour day

week

public double week()

Returns a time value equal to one week according to the current time unit setting.

Returns:: a time value equal to one week

month

public double month()

Returns a time value equal to 30 days according to the current time unit setting. Note that the returned is not the real month length (which can be 28..31). If you need the precise "one month" timeout value, please call toTimeout(AgentConstants.MONTH, 1) method

Returns:: a time value equal to 30 days

year

public double year()

Returns a time value equal to 365 days according to the current time unit setting. Note that the returned is not the real year length (which can be 366). If you need the precise "one year" timeout value, please call toTimeout(AgentConstants.YEAR, 1) method

Returns:: a time value equal to 365 days

briefInfoOn

public static String briefInfoOn(Object object)

Returns a brief one-line textual information on the given object. Supports most frequently used types: most numeric types, Color, Date, Agent, collections, HyperArray, events, transitions, etc. If the argument type is not supported, returns its default toString(). If the argument is null, returns null.

Parameters:: object - the object to give info on
Returns:: brief one-line textual information on the object

inspectOfLink_xjal

@AnyLogicInternalAPI
public static String inspectOfLink_xjal(Object object)

This method is internal and shouldn't be called by user.
it may be removed/renamed in future.

inspectOf

public static String inspectOf(Object object)

Returns a textual info on the object that can be displayed in the multi-line Inspect window. This info is an extended version of what is given by briefInfoOn().

Parameters:: object - the object being inspected
Returns:: an extended textual info on the object

getFullName

public static String getFullName(Agent agent)

Returns the name of the agent prefixed by the path from the top-level agent to this one. Or null if the given agent is null.
This is a convenient function for formatting full name of some agent when it may be null.

Parameters:: agent - the agent, may be null
Returns:: the full name of the object including path from root or null

getName

public static String getName(Agent agent)

Returns the name of the agent or null if the given agent is null.
This is a convenient function for formatting name of some agent when it may be null.

Parameters:: agent - the agent, may be null
Returns:: the name of the object or null

copyToClipboard

public void copyToClipboard(String text)

Copies the given text to the system clipboard
Due to the security policy of the browser, the actual copying may be preceded by a prompt.

Parameters:: text - the text to copy

copyToClipboard

@Deprecated
public static void copyToClipboard(List<List<Object>> table)

Deprecated.

copyToClipboard

@AnyLogicInternalAPI
public static void copyToClipboard(List<List<Object>> table,
 List<Integer> sqlTypes)

format

public static String format(double value)

Formats a double value using the default AnyLogic formatter

Parameters:: value - the double value to be formatted.
Returns:: the string containing the formatted value

format

public static String format(double value,
 IUnits<?> units)

Formats a double value with units, using the default AnyLogic formatter

Parameters:: value - the double value to be formatted.; units - units
Returns:: the string containing the formatted value
Since:: 8.0

format

public static String format(int value)

Formats an integer value using the default AnyLogic formatter

Parameters:: value - the integer value to be formatted.
Returns:: the string containing the formatted value

format

public static String format(long value)

Formats a long value using the default AnyLogic formatter

Parameters:: value - the long value to be formatted.
Returns:: the string containing the formatted value

format

public static String format(Date date)

Formats a date using the default AnyLogic formatter

Parameters:: date - the date to be formatted.
Returns:: the string containing the formatted value

formatDayOfWeek

public static String formatDayOfWeek(int dayOfWeek,
 boolean fullName)

Returns the full or short name of the weekday

Parameters:: dayOfWeek - one of MONDAY, TUESDAY, ... constants; fullName - if true, then returns the full name ("Monday", "Tuesday", etc.), otherwise - short ("Mon", "Tue", etc.)
Returns:: the name of the weekday

formatMonth

public static String formatMonth(int month,
 boolean fullName)

Returns the full or short name of the month

Parameters:: month - one of JANUARY, FEBRUARY, ... constants; fullName - if true, then returns the full name ("January", "February", etc.), otherwise - short ("Jan", "Feb", etc.)
Returns:: the name of the month

formatLengthUnits

public static String formatLengthUnits(LengthUnits unit,
 boolean fullName)

Returns the full or short name of the length units

Parameters:: unit - length units; fullName - if true, then returns the full name ("meter", "foot", etc.), otherwise - short ("m", "ft", etc.)
Returns:: the name of the units

formatAmountUnits

public static String formatAmountUnits(double value,
 AmountUnits units)

Converts value to required units and turns it into String

Parameters:: value - value in cubic meters or kilograms; units - required units
Returns:: string representation

formatFlowRateUnits

public static String formatFlowRateUnits(double value,
 FlowRateUnits units)

Converts value to required units and turns it into String

Parameters:: value - value in cubic meters per second or kilograms per second; units - required units
Returns:: string representation

formatLengthUnits

public static String formatLengthUnits(double value,
 LengthUnits units)

Converts value to required units and turns it into String

Parameters:: value - value in meters; units - required units
Returns:: string representation

formatSpeedUnits

public static String formatSpeedUnits(double value,
 SpeedUnits units)

Converts value to required units and turns it into String

Parameters:: value - value in meters per second; units - required units
Returns:: string representation

format

public static String format(boolean value)

Formats a boolean value

Parameters:: value - the boolean value to be formatted.
Returns:: the string containing the formatted value ("true" or "false")

format

public static String format(char value)

Formats a character to String

Parameters:: value - the character value to be formatted.
Returns:: the string containing the formatted value

formatTimeInterval

public String formatTimeInterval(double dt)

Returns a string representation of a given time interval, according to the current time unit settings, in the form 123 days 21h 0'56".

Parameters:: dt - the time interval
Returns:: string representation of the time interval

convertMarkupSegmentDescriptors_xjal

@AnyLogicInternalCodegenAPI
public static MarkupSegment[] convertMarkupSegmentDescriptors_xjal(MarkupSegmentDescriptor[] descriptors)

This method is internal and shouldn't be called by user.
it may be removed/renamed in future. It is public due to technical reasons.

getCanonicalPath

@AnyLogicInternalAPI
public static String getCanonicalPath(File file)

This method is internal and shouldn't be called by user.
it may be removed/renamed in future.
Tries getting canonical path for the given file, on any error return absolute path

Parameters:: file -
Returns:: canonical path of the given file, if available
Since:: 7.2

findExistingFile

@AnyLogicInternalAPI
public static String findExistingFile(String filePath)

This method is internal and shouldn't be called by user.
it may be removed/renamed in future.

Since:: 7.2

formatLongitude

public static String formatLongitude(double degrees)

Formats longitude

Parameters:: degrees - the longitude in decimal degrees
Returns:: formatted longitude, e.g. E30°20'0"

formatLatitude

public static String formatLatitude(double degrees)

Formats latitude

Parameters:: degrees - the latitude in decimal degrees
Returns:: formatted latitude, e.g. N59°56'0"

formatGeoHeading

public static String formatGeoHeading(double radians)

Formats given heading angle (measured in radians CW, starting from North direction) as human-readable geographical heading (azimuth). E.g. PI / 7 will be formatted as "26° NNE"

Parameters:: radians - the heading angle (measured in radians CW, starting from North direction)
Returns:: formatted human-readable geographical heading (angle in degrees CW from North)

layoutTypeToString

@Deprecated
public static String layoutTypeToString(LayoutType layoutType)

Deprecated.

please use LayoutType.formatName() instead

dirToAngle

public static double dirToAngle(CellDirection dir)

Returns the angle value corresponding to the given direction

Parameters:: dir - the direction constant
Returns:: the angle value (from 0 to 2*PI)

toLatitude

public static double toLatitude(int degrees,
 int minutes,
 double seconds,
 boolean northOrSouth)

Converts latitude from human-readable format (e.g. 59° 56' 0" North) to format used in the model

Parameters:: degrees - number of degrees, 0...90; minutes - number of minutes (1/60 of degree), 0...59; seconds - number of seconds (1/60 of minute), 0 <= seconds < 60; northOrSouth - true for North, false for South
Returns:: the resulting latitude, measured in degrees (-90 ... (South) ... 0 ... (North) ... +90)

toLongitude

public static double toLongitude(int degrees,
 int minutes,
 double seconds,
 boolean eastOrWest)

Converts longitude from human-readable format (e.g. 30° 20' 0" East) to format used in the model

Parameters:: degrees - number of degrees, 0...180; minutes - number of minutes (1/60 of degree), 0...59; seconds - number of seconds (1/60 of minute), 0 <= seconds < 60; eastOrWest - true for East, false for West
Returns:: the resulting longitude, measured in degrees (-180 ... (West) ... 0 ... (East) ... +180)

toDate

public static Date toDate(int year,
 int month,
 int day)

Returns the date in the default time zone with given field values and the time set to a midnight.

Parameters:

year - the year

month - the month, is 0-based. e.g., 0 for January.
Following values may be used:

JANUARY
FEBRUARY
MARCH
APRIL
MAY
JUNE
JULY
AUGUST
SEPTEMBER
OCTOBER
NOVEMBER
DECEMBER

day - the day of the month

Since:

8.3

toDate

public static Date toDate(int year,
 int month,
 int day,
 int hourOfDay,
 int minute,
 int second)

Returns the date in the default time zone with given field values.

Parameters:

year - the year

month - the month, is 0-based. e.g., 0 for January.
Following values may be used:

JANUARY
FEBRUARY
MARCH
APRIL
MAY
JUNE
JULY
AUGUST
SEPTEMBER
OCTOBER
NOVEMBER
DECEMBER

day - the day of the month

hourOfDay - the hour of day (using 24-hour clock)

minute - the minute

second - the second

toDate

public static Date toDate(String dateFormat,
 String text)

Parses the date from the given string using date format pattern. Throws error in the format is wrong or text can't be parsed.

Parameters:

dateFormat - the date format pattern, for example: "MM/dd/yyyy HH:ss" for more details see the documentation or SimpleDateFormat class. Here are the most used symbols.

Symbol	Date/Time Component	Examples
`y`	Year	`1994`; `94`
`M`	Month in year	`June`; `Jun`; `06`
`d`	Day in month	`27`
`a`	Am/pm marker	`AM`
`H`	Hour in day (0-23)	`17`
`h`	Hour in am/pm (1-12)	`12`
`m`	Minute in hour	`35`
`s`	Second in minute	`15`
`S`	Millisecond	`123`

text - the text to be parsed as a date

Returns:

the successfully parsed date

Since:

8.3

getDateWithTimeNextTo

public static Date getDateWithTimeNextTo(Date date,
 int hourOfDay,
 int minute,
 int second)

Returns the date which the next date after the given date and has the specified time (in the default time zone)

Parameters:: date - the date; hourOfDay - the hour of day (using 24-hour clock); minute - the minute; second - the second
Returns:: the date with the given time

toDateInMillis

public static long toDateInMillis(int year,
 int month,
 int day,
 int hourOfDay,
 int minute,
 int second)

Same as toDate(int, int, int, int, int, int) but returns the date in its milliseconds representation (see Date.getTime()), i.e. the number of milliseconds since January 1, 1970, 00:00:00 GMT represented by the date.

See Also:

toDate(int, int, int, int, int, int)
Date.getTime()

createURL_xjal

@AnyLogicInternalCodegenAPI
public static URL createURL_xjal(String url)

Creates an URL object from the String representation

Parameters:: url - the String to parse as a URL.
Returns:: an URL object

prepareBeforeExperimentStart_xjal

@AnyLogicInternalCodegenAPI
public static void prepareBeforeExperimentStart_xjal(Class<?> experimentClass)

This method is internal and isn't intended to be called by user (may be removed in future releases)

joinArrays_xjal

@AnyLogicInternalCodegenAPI
public static int[] joinArrays_xjal(boolean replaceAlways,
 boolean replaceWithNotEmpty,
 int[] a1,
 int[] a2)

This method is internal and isn't intended to be called by user (may be removed in future releases)

roundToInt

public static int roundToInt(double v)

Returns int closest to the given value. Unlike Math.round(double), returns int value (instead of long) which may be more convenient for some operations.
The result is equal to the value of the expression:

(int) floor(v + 0.5)

Special cases:

If the argument is NaN, the result is 0.
If the argument is negative infinity or any value less than or equal to the value of Integer.MIN_VALUE, the result is equal to the value of Integer.MIN_VALUE.
If the argument is positive infinity or any value greater than or equal to the value of Integer.MAX_VALUE, the result is equal to the value of Integer.MAX_VALUE.

Parameters:: v - floating-point value to be rounded to a int.
Returns:: the value rounded to the nearest int value.
See Also:: Integer.MAX_VALUEInteger.MIN_VALUE

roundToDecimal

public static double roundToDecimal(double v,
 int nDecimalDigits)

Rounds the value to the given precision. Returns the number closest to the given value, retaining the given number of decimal digits in the fractional / integer part.
The result is equal to the value of the expression:

floor(v * 10^{nDecimalDigits}+ 0.5) / 10^{nDecimalDigits}

Parameters:: v - floating-point value to be rounded to the given precision.; nDecimalDigits - if positive, fractional part will be affected, if negative, integer part will be
Returns:: the value rounded to the given precision
Since:: 7.3

toBoxedDouble_xjal

@AnyLogicInternalAPI
public static Double[] toBoxedDouble_xjal(double[] array)

getPerformanceParallelWorkersCount_xjal

@AnyLogicLegacyAPI
public static int getPerformanceParallelWorkersCount_xjal()

Returns number of processors (threads) when running parallel (multi-thread) experiments (with multiple runs) and some other features supporting parallel execution.
To get the number of processors reported by Java virtual machine, please use Runtime.getRuntime().availableProcessors() Please note that both methods shouldn't be generally used in the model logic because their results are inpredictable, not reproducible and depend on the underlying machine and AnyLogic installation

Returns:: the number of processors configured by AnyLogic

toStringAlignedNameValues

@AnyLogicInternalAPI
public static String toStringAlignedNameValues(int minNameLength,
 Object... nameValueRows)

Class Utilities

Field Summary

Fields inherited from class com.anylogic.engine.Presentable

Fields inherited from interface com.anylogic.engine.AgentConstants

Fields inherited from interface com.anylogic.engine.EnvironmentConstants

Constructor Summary

Method Summary

Methods inherited from class com.anylogic.engine.Presentable

Methods inherited from class java.lang.Object

Field Details

SUNDAY

MONDAY

TUESDAY

WEDNESDAY

THURSDAY

FRIDAY

SATURDAY

JANUARY

FEBRUARY

MARCH

APRIL

MAY

JUNE

JULY

AUGUST

SEPTEMBER

OCTOBER

NOVEMBER

DECEMBER

UNDECIMBER

AM

PM

infinity

TIME_UNIT_MILLISECOND

TIME_UNIT_SECOND

TIME_UNIT_MINUTE

TIME_UNIT_HOUR

TIME_UNIT_DAY

TIME_UNIT_WEEK

TIME_UNIT_MONTH

TIME_UNIT_YEAR

LENGTH_UNIT_CENTIMETER

LENGTH_UNIT_INCH

LENGTH_UNIT_METER

LENGTH_UNIT_FOOT

LENGTH_UNIT_KILOMETER

LENGTH_UNIT_MILE

Constructor Details

Utilities

Method Details

error

error

errorInModel

errorInModel

error

error

errorInModel

errorInModel

warning

warning

selectFrom

insertInto

deleteFrom

update

isLoggingToDB

isLoggingClassToDB

selectExists

selectExists

selectFirstValue

selectUniqueValue

selectFirstValue

selectUniqueValue

selectFirstValue

selectUniqueValue

selectFirstValue

selectUniqueValue

getResult

selectValues

selectValues

selectArrayOfDouble