Uses of Interface
microsim.event.EventListener

Packages that use EventListener

Package	Description
microsim.agent
microsim.alignment.outcome
microsim.space
microsim.statistics
microsim.statistics.functions
microsim.statistics.weighted
microsim.statistics.weighted.functions

Uses of EventListener in microsim.agent

Classes in microsim.agent that implement EventListener

Modifier and Type	Class	Description
class	Agent<T>

Uses of EventListener in microsim.alignment.outcome

Classes in microsim.alignment.outcome with type parameters of type EventListener

Modifier and Type	Class	Description
class	ResamplingAlignment<T extends EventListener>	Align the population by resampling.
class	ResamplingWeightedAlignment<T extends EventListener & Weight>	Align the population by weighted resampling.

Uses of EventListener in microsim.space

Classes in microsim.space that implement EventListener

Modifier and Type	Class	Description
class	DoubleDiffuseSpace	Discrete 2nd order approximation of 2d diffusion with evaporation.

Uses of EventListener in microsim.statistics

Classes in microsim.statistics that implement EventListener

Modifier and Type	Class	Description
class	CrossSection	A cross section is a collection of values each of them representing the status of a given variable of an element of a collection of agents.
static class	CrossSection.Double
static class	CrossSection.Float
static class	CrossSection.Integer
static class	CrossSection.Long
class	Series	A series is a sequential collection of values coming from a given variable source over time.
static class	Series.Double
static class	Series.Float
static class	Series.Integer
static class	Series.Long
class	TimeSeries	It is a collection of series (data panel).

Uses of EventListener in microsim.statistics.functions

Classes in microsim.statistics.functions that implement EventListener

Modifier and Type	Class	Description
class	AbstractArrayFunction	This class represents the skeleton for all the function which opeate on array of native data type values.
class	AbstractFunction	An abstract skeleton for the statistical function able to manage update time checking.
class	CountArrayFunction	This class computes the number of values in an array taken from a data source.
class	MaxArrayFunction	This class computes the maximum value in an array of source values.
static class	MaxArrayFunction.Double	MaxFunction operating on double source values.
static class	MaxArrayFunction.Float	MaxFunction operating on float source values.
static class	MaxArrayFunction.Integer	MaxFunction operating on integer source values.
static class	MaxArrayFunction.Long	MaxFunction operating on long source values.
class	MaxTraceFunction	A MixFunction object is to collect data over time, computing some statistics on the fly, without storing the data in memory.
static class	MaxTraceFunction.Double	An implementation of the MemorylessSeries class, which manages double type data sources.
static class	MaxTraceFunction.Float	An implementation of the MemorylessSeries class, which manages float type data sources.
static class	MaxTraceFunction.Integer	An implementation of the MemorylessSeries class, which manages integer type data sources.
static class	MaxTraceFunction.Long	An implementation of the MemorylessSeries class, which manages long type data sources.
class	MeanArrayFunction	This class computes the average value of an array of values taken from a data source.
class	MeanVarianceArrayFunction	This class computes the average and variance value of an array of values taken from a data source.
class	MinArrayFunction	This class computes the minimum value in an array of source values.
static class	MinArrayFunction.Double	MinFunction operating on double source values.
static class	MinArrayFunction.Float	MinFunction operating on float source values.
static class	MinArrayFunction.Integer	MinFunction operating on integer source values.
static class	MinArrayFunction.Long	MinFunction operating on long source values.
class	MinTraceFunction	A MixFunction object is to collect data over time, computing some statistics on the fly, without storing the data in memory.
static class	MinTraceFunction.Double	An implementation of the MemorylessSeries class, which manages double type data sources.
static class	MinTraceFunction.Float	An implementation of the MemorylessSeries class, which manages float type data sources.
static class	MinTraceFunction.Integer	An implementation of the MemorylessSeries class, which manages integer type data sources.
static class	MinTraceFunction.Long	An implementation of the MemorylessSeries class, which manages long type data sources.
class	MovingAverageArrayFunction	This class computes the average of the last given number of values in an array taken from a data source.
class	MovingAverageTraceFunction	This class computes the average of the last values collected from a data source.
class	MultiTraceFunction	A MixFunction object is to collect data over time, computing some statistics on the fly, without storing the data in memory.
static class	MultiTraceFunction.Double	An implementation of the MemorylessSeries class, which manages double type data sources.
static class	MultiTraceFunction.Float	An implementation of the MemorylessSeries class, which manages float type data sources.
static class	MultiTraceFunction.Integer	An implementation of the MemorylessSeries class, which manages integer type data sources.
static class	MultiTraceFunction.Long	An implementation of the MemorylessSeries class, which manages long type data sources.
class	SumArrayFunction	This class computes the sum of an array of source values.
static class	SumArrayFunction.Double	SumFunction operating on double source values.
static class	SumArrayFunction.Float	SumFunction operating on float source values.
static class	SumArrayFunction.Integer	SumFunction operating on integer source values.
static class	SumArrayFunction.Long	SumFunction operating on long source values.

Uses of EventListener in microsim.statistics.weighted

Classes in microsim.statistics.weighted that implement EventListener

Modifier and Type	Class	Description
class	Weighted_CrossSection	A weighted cross section is a collection of values each of them representing the status of a given variable of a weighted element of a collection of agents.
static class	Weighted_CrossSection.Double
static class	Weighted_CrossSection.Float
static class	Weighted_CrossSection.Integer
static class	Weighted_CrossSection.Long

Uses of EventListener in microsim.statistics.weighted.functions

Classes in microsim.statistics.weighted.functions that implement EventListener

Modifier and Type	Class	Description
class	AbstractWeightedArrayFunction	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.
class	Weighted_MeanArrayFunction	This class computes the (weighted) average (mean) value of an array of values taken from a data source, weighted by corresponding weights: weighted mean = sum (values * weights) / sum (weights) Note that the array of weights must have the same length as the array of values, otherwise an exception will be thrown.
class	Weighted_SumArrayFunction	This class computes the sum of an array of source values, with each element of the array multiplied by the weight of the source (the source must implement the Weight interface).
static class	Weighted_SumArrayFunction.Double	SumFunction operating on weighted double source values.
static class	Weighted_SumArrayFunction.Float	SumFunction operating on weighted float source values.
static class	Weighted_SumArrayFunction.Integer	SumFunction operating on weighted integer source values.
static class	Weighted_SumArrayFunction.Long	SumFunction operating on weighted long source values.