A-Index

A B C D E F G I K L M N O P Q R S T U V W
All Classes All Packages

A

AbstractArrayFunction - Class in microsim.statistics.functions: This class represents the skeleton for all the function which opeate on array of native data type values.
AbstractArrayFunction(IDoubleArraySource) - Constructor for class microsim.statistics.functions.AbstractArrayFunction: Create a function on a double array source.
AbstractArrayFunction(IFloatArraySource) - Constructor for class microsim.statistics.functions.AbstractArrayFunction: Create a function on a float array source.
AbstractArrayFunction(IIntArraySource) - Constructor for class microsim.statistics.functions.AbstractArrayFunction: Create a function on an integer array source.
AbstractArrayFunction(ILongArraySource) - Constructor for class microsim.statistics.functions.AbstractArrayFunction: Create a function on a long array source.
AbstractFunction - Class in microsim.statistics.functions: An abstract skeleton for the statistical function able to manage update time checking.
AbstractFunction() - Constructor for class microsim.statistics.functions.AbstractFunction
AbstractMultiProbabilityAlignment<T> - Class in microsim.alignment.multiple: Multiple choice alignment methods, where there are in general many (> 2) possible outcomes/states to align.
AbstractMultiProbabilityAlignment() - Constructor for class microsim.alignment.multiple.AbstractMultiProbabilityAlignment
AbstractOutcomeAlignment<T> - Class in microsim.alignment.outcome: Abstract class for BINARY OUTCOME alignment methods (for Binary probability alignment, see microsim.alignment.probability package; for Multiple choice probability alignment, see microsim.alignment.multi package).
AbstractOutcomeAlignment() - Constructor for class microsim.alignment.outcome.AbstractOutcomeAlignment
AbstractProbabilityAlignment<T> - Class in microsim.alignment.probability: Abstract class for BINARY PROBABILITY alignment methods (for Binary outcome alignment, see microsim.alignment.outcome package; for Multiple choice probability alignment, see microsim.alignment.multi package).
AbstractProbabilityAlignment() - Constructor for class microsim.alignment.probability.AbstractProbabilityAlignment
AbstractSimulationCollectorManager - Class in microsim.engine
AbstractSimulationCollectorManager(SimulationManager) - Constructor for class microsim.engine.AbstractSimulationCollectorManager
AbstractSimulationManager - Class in microsim.engine
AbstractSimulationManager() - Constructor for class microsim.engine.AbstractSimulationManager
AbstractSimulationObserverManager - Class in microsim.engine
AbstractSimulationObserverManager(SimulationManager, SimulationCollectorManager) - Constructor for class microsim.engine.AbstractSimulationObserverManager
AbstractSpace<E> - Class in microsim.space: An abstract class representing bidimensional grid container.
AbstractSpace(int, int) - Constructor for class microsim.space.AbstractSpace: Create a grid of given size.
AbstractTurtle - Class in microsim.space.turtle: An agent able to move itself upon an object grid.
AbstractTurtle() - Constructor for class microsim.space.turtle.AbstractTurtle: Create a turtle with a given identifier on the given grid at position (0,0).
AbstractTurtle(ObjectSpace) - Constructor for class microsim.space.turtle.AbstractTurtle: Create a turtle with a given identifier on the given grid at position (0,0).
AbstractTurtle(ObjectSpace, int, int) - Constructor for class microsim.space.turtle.AbstractTurtle: Create a turtle with a given identifier on the given grid at the given position.
AbstractTurtle.Direction - Enum in microsim.space.turtle
AbstractTurtle.MoveMode - Enum in microsim.space.turtle
AbstractWeightedArrayFunction - Class in microsim.statistics.weighted.functions: This class represents the skeleton for all the function which operate on array of native data type values, appropriately weighted by weights specified in a corresponding array of doubles.
AbstractWeightedArrayFunction(IWeightedDoubleArraySource) - Constructor for class microsim.statistics.weighted.functions.AbstractWeightedArrayFunction: Create a function on a double array source.
AbstractWeightedArrayFunction(IWeightedFloatArraySource) - Constructor for class microsim.statistics.weighted.functions.AbstractWeightedArrayFunction: Create a function on a float array source.
AbstractWeightedArrayFunction(IWeightedIntArraySource) - Constructor for class microsim.statistics.weighted.functions.AbstractWeightedArrayFunction: Create a function on an integer array source.
AbstractWeightedArrayFunction(IWeightedLongArraySource) - Constructor for class microsim.statistics.weighted.functions.AbstractWeightedArrayFunction: Create a function on a long array source.
add(double) - Method in class microsim.collection.AverageClosure
add(double) - Method in class microsim.space.DoubleSpace: Sum the given value to the value of each cell.
add(int) - Method in class microsim.space.IntSpace: Sum the given value to the value of each cell.
add(Object) - Method in class microsim.space.DenseObjectSpace: Add an object implementing IGridPosition interface to the grid.
add(Object) - Method in class microsim.space.MultiObjectSpace: Add an object implementing IGridPosition interface to the grid.
add(Object) - Method in class microsim.space.SparseObjectSpace: Add an object implementing IGridPosition interface to the grid.
addCollectionEvent(Collection<?>, Class<?>, String) - Method in class microsim.event.EventGroup
addCollectionEvent(Collection<?>, Class<?>, String, boolean) - Method in class microsim.event.EventGroup: Create a new SimCollectionEvent and add an event to the list, using late binding method.
addCollectionEvent(Collection<?>, Enum<?>) - Method in class microsim.event.EventGroup
addCollectionEvent(Collection<?>, Enum<?>, boolean) - Method in class microsim.event.EventGroup: Create a new SimCollectionEvent and add an event to the list, using early binding method.
addEngineListener(EngineListener) - Method in class microsim.engine.SimulationEngine: Install a listener for events generated by the simulation engine.
addEvent(Object, Enum<?>) - Method in class microsim.event.EventGroup: Create a new SimSimpleEvent and add an event to the list, using early binding method.
addEvent(Object, String) - Method in class microsim.event.EventGroup: Create a new SimSimpleEvent and add an event to the list, using late binding method.
addEvent(Event) - Method in class microsim.event.EventGroup: Add an event to the list.
addGridPosition(SpacePosition) - Method in class microsim.space.DenseObjectSpace: Add an object implementing IGridPosition interface to the grid.
addGridPosition(SpacePosition) - Method in class microsim.space.MultiObjectSpace: Add an object implementing IGridPosition interface to the grid.
addGridPosition(SpacePosition) - Method in interface microsim.space.ObjectSpace
addGridPosition(SpacePosition) - Method in class microsim.space.SparseObjectSpace: Add an object implementing IGridPosition interface to the grid.
addParameterDomain(ParameterDomain) - Method in class microsim.engine.MultiRun
addSeries(Object, String, boolean) - Method in class microsim.statistics.TimeSeries: Add a new series.
addSeries(String, IDoubleSource, Enum<?>) - Method in class microsim.statistics.TimeSeries: Add a new series.
addSeries(String, IFloatSource, Enum<?>) - Method in class microsim.statistics.TimeSeries: Add a new series.
addSeries(String, IIntSource, Enum<?>) - Method in class microsim.statistics.TimeSeries: Add a new series.
addSeries(String, ILongSource, Enum<?>) - Method in class microsim.statistics.TimeSeries: Add a new series.
addSeries(Series) - Method in class microsim.statistics.TimeSeries: Add a new series.
addSimulationManager(String) - Method in class microsim.engine.SimulationEngine
addSimulationManager(SimulationManager) - Method in class microsim.engine.SimulationEngine: Notify the engine to manage a SimModel.
addSystemEvent(SimulationEngine, SystemEventType) - Method in class microsim.event.EventGroup: Create a new SimSystemEvent and add an event to the list.
addValue(Object) - Method in class microsim.data.ParameterDomain
AFTER_ALL - microsim.event.Order
afterSimulationCompleted(SimulationEngine) - Method in interface microsim.engine.MultiRunListener
Agent<T> - Class in microsim.agent
Agent() - Constructor for class microsim.agent.Agent
Aggregate - Class in microsim.collection
Aggregate() - Constructor for class microsim.collection.Aggregate
align(Collection<T>, Predicate<T>, AlignmentMultiProbabilityClosure<T>, double[]) - Method in class microsim.alignment.multiple.AbstractMultiProbabilityAlignment
align(Collection<T>, Predicate<T>, AlignmentMultiProbabilityClosure<T>, double[]) - Method in class microsim.alignment.multiple.LogitScalingAlignment: Aligns a sub-population of objects using Logit Scaling alignment.
align(Collection<T>, Predicate<T>, AlignmentMultiProbabilityClosure<T>, double[]) - Method in class microsim.alignment.multiple.LogitScalingWeightedAlignment: Aligns a sub-population of objects using Logit Scaling alignment.
align(Collection<T>, Predicate<T>, AlignmentMultiProbabilityClosure<T>, double[], int, double, boolean) - Method in class microsim.alignment.multiple.LogitScalingAlignment: Aligns a sub-population of objects using Logit Scaling alignment.
align(Collection<T>, Predicate<T>, AlignmentMultiProbabilityClosure<T>, double[], int, double, boolean) - Method in class microsim.alignment.multiple.LogitScalingWeightedAlignment: Aligns a sub-population of objects using Logit Scaling alignment.
align(Collection<T>, Predicate<T>, AlignmentOutcomeClosure<T>, double) - Method in class microsim.alignment.outcome.ResamplingAlignment: Align share of population by resampling.
align(Collection<T>, Predicate<T>, AlignmentOutcomeClosure<T>, double) - Method in class microsim.alignment.outcome.ResamplingWeightedAlignment: Align share of population by weighted resampling.
align(Collection<T>, Predicate<T>, AlignmentOutcomeClosure<T>, double, int) - Method in class microsim.alignment.outcome.AbstractOutcomeAlignment
align(Collection<T>, Predicate<T>, AlignmentOutcomeClosure<T>, double, int) - Method in class microsim.alignment.outcome.ResamplingAlignment: Align share of population by resampling.
align(Collection<T>, Predicate<T>, AlignmentOutcomeClosure<T>, double, int) - Method in class microsim.alignment.outcome.ResamplingWeightedAlignment: Align share of population by weighted resampling.
align(Collection<T>, Predicate<T>, AlignmentOutcomeClosure<T>, int) - Method in class microsim.alignment.outcome.ResamplingAlignment: Align absolute number of population by resampling.
align(Collection<T>, Predicate<T>, AlignmentOutcomeClosure<T>, int) - Method in class microsim.alignment.outcome.ResamplingWeightedAlignment: Align absolute number of population by weighted resampling.
align(Collection<T>, Predicate<T>, AlignmentOutcomeClosure<T>, int, int) - Method in class microsim.alignment.outcome.AbstractOutcomeAlignment
align(Collection<T>, Predicate<T>, AlignmentOutcomeClosure<T>, int, int) - Method in class microsim.alignment.outcome.ResamplingAlignment: Align absolute number of population by resampling.
align(Collection<T>, Predicate<T>, AlignmentOutcomeClosure<T>, int, int) - Method in class microsim.alignment.outcome.ResamplingWeightedAlignment: Align absolute number of population by weighted resampling.
align(Collection<T>, Predicate<T>, AlignmentProbabilityClosure<T>, double) - Method in class microsim.alignment.probability.AbstractProbabilityAlignment: Method to implement alignment.
align(Collection<T>, Predicate<T>, AlignmentProbabilityClosure<T>, double) - Method in class microsim.alignment.probability.LogitScalingBinaryAlignment: Aligns a sub-population of objects using Logit Scaling alignment.
align(Collection<T>, Predicate<T>, AlignmentProbabilityClosure<T>, double) - Method in class microsim.alignment.probability.LogitScalingBinaryWeightedAlignment: Aligns a sub-population of objects using Logit Scaling alignment.
align(Collection<T>, Predicate<T>, AlignmentProbabilityClosure<T>, double) - Method in class microsim.alignment.probability.MultiplicativeScalingAlignment
align(Collection<T>, Predicate<T>, AlignmentProbabilityClosure<T>, double) - Method in class microsim.alignment.probability.SBDAlignment
align(Collection<T>, Predicate<T>, AlignmentProbabilityClosure<T>, double) - Method in class microsim.alignment.probability.SBDLAlignment
align(Collection<T>, Predicate<T>, AlignmentProbabilityClosure<T>, double) - Method in class microsim.alignment.probability.SidewalkAlignment
align(Collection<T>, Predicate<T>, AlignmentProbabilityClosure<T>, double, int, double, boolean) - Method in class microsim.alignment.probability.LogitScalingBinaryAlignment: Aligns a sub-population of objects using Logit Scaling alignment.
align(Collection<T>, Predicate<T>, AlignmentProbabilityClosure<T>, double, int, double, boolean) - Method in class microsim.alignment.probability.LogitScalingBinaryWeightedAlignment: Aligns a sub-population of objects using Logit Scaling alignment.
align(T, double) - Method in interface microsim.alignment.probability.AlignmentProbabilityClosure: Method specifying the sampling of the aligned probability to determine the outcome for the agent.
align(T, double[]) - Method in interface microsim.alignment.multiple.AlignmentMultiProbabilityClosure
AlignmentMultiProbabilityClosure<T> - Interface in microsim.alignment.multiple
AlignmentOutcomeClosure<T> - Interface in microsim.alignment.outcome
AlignmentProbabilityClosure<T> - Interface in microsim.alignment.probability
apply(double[]) - Method in class microsim.statistics.functions.AbstractArrayFunction: Apply the function on a the given array of double values.
apply(double[]) - Method in class microsim.statistics.functions.CountArrayFunction
apply(double[]) - Method in class microsim.statistics.functions.MaxArrayFunction.Double
apply(double[]) - Method in class microsim.statistics.functions.MeanArrayFunction
apply(double[]) - Method in class microsim.statistics.functions.MeanVarianceArrayFunction
apply(double[]) - Method in class microsim.statistics.functions.MinArrayFunction.Double
apply(double[]) - Method in class microsim.statistics.functions.MovingAverageArrayFunction
apply(double[]) - Method in class microsim.statistics.functions.SumArrayFunction.Double
apply(double[], double[]) - Method in class microsim.statistics.weighted.functions.AbstractWeightedArrayFunction: Apply the function on a the given array of double values.
apply(double[], double[]) - Method in class microsim.statistics.weighted.functions.Weighted_MeanArrayFunction
apply(double[], double[]) - Method in class microsim.statistics.weighted.functions.Weighted_SumArrayFunction.Double
apply(float[]) - Method in class microsim.statistics.functions.AbstractArrayFunction: Apply the function on a the given array of float values.
apply(float[]) - Method in class microsim.statistics.functions.CountArrayFunction
apply(float[]) - Method in class microsim.statistics.functions.MaxArrayFunction.Float
apply(float[]) - Method in class microsim.statistics.functions.MeanArrayFunction
apply(float[]) - Method in class microsim.statistics.functions.MeanVarianceArrayFunction
apply(float[]) - Method in class microsim.statistics.functions.MinArrayFunction.Float
apply(float[]) - Method in class microsim.statistics.functions.MovingAverageArrayFunction
apply(float[]) - Method in class microsim.statistics.functions.SumArrayFunction.Float
apply(float[], double[]) - Method in class microsim.statistics.weighted.functions.AbstractWeightedArrayFunction: Apply the function on a the given array of float values.
apply(float[], double[]) - Method in class microsim.statistics.weighted.functions.Weighted_MeanArrayFunction
apply(float[], double[]) - Method in class microsim.statistics.weighted.functions.Weighted_SumArrayFunction.Float
apply(int[]) - Method in class microsim.statistics.functions.AbstractArrayFunction: Apply the function on a the given array of integer values.
apply(int[]) - Method in class microsim.statistics.functions.CountArrayFunction
apply(int[]) - Method in class microsim.statistics.functions.MaxArrayFunction.Integer
apply(int[]) - Method in class microsim.statistics.functions.MeanArrayFunction
apply(int[]) - Method in class microsim.statistics.functions.MeanVarianceArrayFunction
apply(int[]) - Method in class microsim.statistics.functions.MinArrayFunction.Integer
apply(int[]) - Method in class microsim.statistics.functions.MovingAverageArrayFunction
apply(int[]) - Method in class microsim.statistics.functions.SumArrayFunction.Integer
apply(int[], double[]) - Method in class microsim.statistics.weighted.functions.AbstractWeightedArrayFunction: Apply the function on a the given array of integer values.
apply(int[], double[]) - Method in class microsim.statistics.weighted.functions.Weighted_MeanArrayFunction
apply(int[], double[]) - Method in class microsim.statistics.weighted.functions.Weighted_SumArrayFunction.Integer
apply(long[]) - Method in class microsim.statistics.functions.AbstractArrayFunction: Apply the function on a the given array of long values.
apply(long[]) - Method in class microsim.statistics.functions.CountArrayFunction
apply(long[]) - Method in class microsim.statistics.functions.MaxArrayFunction.Long
apply(long[]) - Method in class microsim.statistics.functions.MeanArrayFunction
apply(long[]) - Method in class microsim.statistics.functions.MeanVarianceArrayFunction
apply(long[]) - Method in class microsim.statistics.functions.MinArrayFunction.Long
apply(long[]) - Method in class microsim.statistics.functions.MovingAverageArrayFunction
apply(long[]) - Method in class microsim.statistics.functions.SumArrayFunction.Long
apply(long[], double[]) - Method in class microsim.statistics.weighted.functions.AbstractWeightedArrayFunction: Apply the function on a the given array of long values.
apply(long[], double[]) - Method in class microsim.statistics.weighted.functions.Weighted_MeanArrayFunction
apply(long[], double[]) - Method in class microsim.statistics.weighted.functions.Weighted_SumArrayFunction.Long
applyFunction() - Method in class microsim.statistics.functions.AbstractArrayFunction: Force the function to update itself.
applyFunction() - Method in class microsim.statistics.functions.AbstractFunction
applyFunction() - Method in class microsim.statistics.functions.MaxTraceFunction: Collect a value from the source.
applyFunction() - Method in class microsim.statistics.functions.MaxTraceFunction.Double: Read the source values and update statistics.
applyFunction() - Method in class microsim.statistics.functions.MaxTraceFunction.Float: Read the source values and update statistics.
applyFunction() - Method in class microsim.statistics.functions.MaxTraceFunction.Integer: Read the source values and update statistics.
applyFunction() - Method in class microsim.statistics.functions.MaxTraceFunction.Long: Read the source values and update statistics.
applyFunction() - Method in class microsim.statistics.functions.MinTraceFunction: Collect a value from the source.
applyFunction() - Method in class microsim.statistics.functions.MinTraceFunction.Double: Read the source values and update statistics.
applyFunction() - Method in class microsim.statistics.functions.MinTraceFunction.Float: Read the source values and update statistics.
applyFunction() - Method in class microsim.statistics.functions.MinTraceFunction.Integer: Read the source values and update statistics.
applyFunction() - Method in class microsim.statistics.functions.MinTraceFunction.Long: Read the source values and update statistics.
applyFunction() - Method in class microsim.statistics.functions.MovingAverageTraceFunction: Collect a value from the source.
applyFunction() - Method in class microsim.statistics.weighted.functions.AbstractWeightedArrayFunction: Force the function to update itself.
applyToFilter(Iterable<T>, Predicate<T>, Closure<T>) - Static method in class microsim.collection.Aggregate
ArrayExtractor - Class in microsim.reflection
ArrayExtractor() - Constructor for class microsim.reflection.ArrayExtractor
autoincrementSeed - Static variable in class microsim.data.db.DatabaseUtils
autoincrementSeed - Static variable in class microsim.data.ExportCSV
AverageClosure<T> - Class in microsim.collection
AverageClosure() - Constructor for class microsim.collection.AverageClosure

A B C D E F G I K L M N O P Q R S T U V W
All Classes All Packages