A B C D E F G H I J L M N O P R S T U V X Y

A

a - Static variable in class nl.tudelft.simulation.jstats.ode.integrators.RungeKuttaCashCarp
the parameters for a_i, in f(x_n + a_i h, .)
a - Static variable in class nl.tudelft.simulation.jstats.ode.integrators.RungeKuttaFehlberg
the parameters for a_i, in f(x_n + a_i h, .)
Adams - Class in nl.tudelft.simulation.jstats.ode.integrators
The Adams-Bashforth-Moulton numerical estimator as described in http://mathworld.wolfram.com/AdamsMethod.html
Adams(double, DifferentialEquationInterface) - Constructor for class nl.tudelft.simulation.jstats.ode.integrators.Adams
constructs a new Adams integrator
Adams(double, DifferentialEquationInterface, short, int) - Constructor for class nl.tudelft.simulation.jstats.ode.integrators.Adams
constructs a new Adams integrator, indicating the starting method and number of substeps
ADAMS - Static variable in class nl.tudelft.simulation.jstats.ode.integrators.NumericalIntegrator
Adam's integration
add(Tally) - Method in class nl.tudelft.simulation.jstats.charts.boxAndWhisker.BoxAndWhiskerChart
adds a tally to the chart
add(Tally) - Method in class nl.tudelft.simulation.jstats.charts.boxAndWhisker.BoxAndWhiskerPlot
adds a tally to the array of targets;
add(Counter) - Method in class nl.tudelft.simulation.jstats.charts.histogram.Histogram
adds a counter to the histogramdataset.
add(String, EventProducerInterface, EventType) - Method in class nl.tudelft.simulation.jstats.charts.histogram.Histogram
adds an eventProducer to the histogram dataset.
add(Persistent) - Method in class nl.tudelft.simulation.jstats.charts.xy.XYChart
adds a tally to the xyChart
add(String, EventProducerInterface, EventType) - Method in class nl.tudelft.simulation.jstats.charts.xy.XYChart
adds an eventProducer to the xyChart
add(double[], double[]) - Method in class nl.tudelft.simulation.jstats.ode.integrators.NumericalIntegrator
adds two vectors
add(double[], double[], double[]) - Method in class nl.tudelft.simulation.jstats.ode.integrators.NumericalIntegrator
adds a number of vectors
add(double[], double[], double[], double[]) - Method in class nl.tudelft.simulation.jstats.ode.integrators.NumericalIntegrator
adds a number of vectors
add(double[], double[], double[], double[], double[]) - Method in class nl.tudelft.simulation.jstats.ode.integrators.NumericalIntegrator
adds a number of vectors
add(double[], double[], double[], double[], double[], double[]) - Method in class nl.tudelft.simulation.jstats.ode.integrators.NumericalIntegrator
adds a number of vectors
addSeries(String) - Method in class nl.tudelft.simulation.jstats.charts.histogram.HistogramDataset
adds a series to the dataset.
addSeries(HistogramSeries) - Method in class nl.tudelft.simulation.jstats.charts.histogram.HistogramDataset
adds a series to the dataset
addSeries(XYSeries) - Method in class nl.tudelft.simulation.jstats.charts.xy.XYDataset
adds a dataset to the series
axisType - Variable in class nl.tudelft.simulation.jstats.charts.xy.XYChart
the axis type of the chart

B

b - Static variable in class nl.tudelft.simulation.jstats.ode.integrators.RungeKuttaCashCarp
the parameters for b_ij, in f(., y_n + b_p1 k1 + bp2 k2 + ...)
b - Static variable in class nl.tudelft.simulation.jstats.ode.integrators.RungeKuttaFehlberg
the parameters for b_ij, in f(., y_n + b_p1 k1 + bp2 k2 + ...)
BORDER_SIZE - Static variable in class nl.tudelft.simulation.jstats.charts.boxAndWhisker.BoxAndWhiskerPlot
BORDER_SIZE refers to the width of the border on the panel
BOTH_SIDE_CONFIDENCE - Static variable in class nl.tudelft.simulation.jstats.statistics.Tally
BOTH_SIDE_CONFIDENCE refers to both sides of the confidence
BoxAndWhiskerChart - Class in nl.tudelft.simulation.jstats.charts.boxAndWhisker
The summaryuChart specifies a summaryChart.
BoxAndWhiskerChart(String) - Constructor for class nl.tudelft.simulation.jstats.charts.boxAndWhisker.BoxAndWhiskerChart
constructs a new BoxAndWhiskerChart
BoxAndWhiskerPlot - Class in nl.tudelft.simulation.jstats.charts.boxAndWhisker
The Summary chart class defines a summary chart.
BoxAndWhiskerPlot() - Constructor for class nl.tudelft.simulation.jstats.charts.boxAndWhisker.BoxAndWhiskerPlot
constructs a new BoxAndWhiskerPlot

C

c - Static variable in class nl.tudelft.simulation.jstats.ode.integrators.RungeKuttaCashCarp
the parameters for c_i, in y_n+1 = y_n + c_1 k_1 + c_2 k_2 + ...
c - Static variable in class nl.tudelft.simulation.jstats.ode.integrators.RungeKuttaFehlberg
the parameters for c_i, in y_n+1 = y_n + c_1 k_1 + c_2 k_2 + ...
c4 - Static variable in class nl.tudelft.simulation.jstats.ode.integrators.RungeKuttaCashCarp
the parameters for c4_i, in y_n+1 = y_n + c4_1 k_1 + c4_2 k_2 + ...
c4 - Static variable in class nl.tudelft.simulation.jstats.ode.integrators.RungeKuttaFehlberg
the parameters for c4_i, in y_n+1 = y_n + c4_1 k_1 + c4_2 k_2 + ...
CachingNumericalIntegrator - Class in nl.tudelft.simulation.jstats.ode.integrators
The CachingNumericalIntegrator is the basis for an integrator that needs access to previously calculated values of y', e.g.
CachingNumericalIntegrator(double, DifferentialEquationInterface, int, short, int) - Constructor for class nl.tudelft.simulation.jstats.ode.integrators.CachingNumericalIntegrator
constructs a new CachingNumericalIntegrator with a fixed number of cache places.
chart - Variable in class nl.tudelft.simulation.jstats.charts.histogram.Histogram
chart refers to the chart
chart - Variable in class nl.tudelft.simulation.jstats.charts.xy.XYChart
chart refers to the chart
confidenceInterval - Variable in class nl.tudelft.simulation.jstats.charts.boxAndWhisker.BoxAndWhiskerPlot
the confidenceInterval
contains(Number, byte) - Method in class nl.tudelft.simulation.jstats.distributions.empirical.Observations
returns whether the structure contains this specific object (either an observation or a probability).
contains(Number, byte) - Method in interface nl.tudelft.simulation.jstats.distributions.empirical.ObservationsInterface
returns whether the structure contains this specific object (either an observation or a probability).
count - Variable in class nl.tudelft.simulation.jstats.statistics.Counter
count represents the value of the counter
COUNT_EVENT - Static variable in class nl.tudelft.simulation.jstats.statistics.Counter
COUNT_EVENT is fired whenever setCount() is invoked
Counter - Class in nl.tudelft.simulation.jstats.statistics
The Counter class defines a statistics event counter.
Counter(String) - Constructor for class nl.tudelft.simulation.jstats.statistics.Counter
constructs a new CounterTest
CUMPROBABILITY - Static variable in interface nl.tudelft.simulation.jstats.distributions.empirical.ObservationsInterface
the CUMPROBABILITY attribute used to define whether operations should be applied on the OBSERVATION or on the CUMPROBABILITY
CUMULATIVE_NORMAL_PROPABILITIES - Static variable in class nl.tudelft.simulation.jstats.distributions.DistNormal
CUMULATIVE_NORMAL_PROPABILITIES represents the NORMAL DISTRIBUTION FUNCTION TABLE.

D

dataset - Variable in class nl.tudelft.simulation.jstats.charts.histogram.Histogram
dataset refers to the dataset
dataset - Variable in class nl.tudelft.simulation.jstats.charts.xy.XYChart
dataset refers to the dataset
datasetChanged(DatasetChangeEvent) - Method in class nl.tudelft.simulation.jstats.charts.histogram.HistogramDataset
 
datasetChanged(DatasetChangeEvent) - Method in class nl.tudelft.simulation.jstats.charts.xy.XYDataset
 
DEFAULT_INTEGRATOR - Static variable in class nl.tudelft.simulation.jstats.ode.integrators.NumericalIntegrator
The default integrator
description - Variable in class nl.tudelft.simulation.jstats.statistics.Counter
description refers to the title of this counter
description - Variable in class nl.tudelft.simulation.jstats.statistics.Tally
description refers to the description of this tally
DifferentialEquation - Class in nl.tudelft.simulation.jstats.ode
The DifferentialEquation is the abstract basis for
DifferentialEquation(double) - Constructor for class nl.tudelft.simulation.jstats.ode.DifferentialEquation
constructs a new DifferentialEquation with default integrator.
DifferentialEquation(double, NumericalIntegrator) - Constructor for class nl.tudelft.simulation.jstats.ode.DifferentialEquation
constructs a new DifferentialEquation with a user-specified integrator.
DifferentialEquation(double, short) - Constructor for class nl.tudelft.simulation.jstats.ode.DifferentialEquation
constructs a new DifferentialEquation with a preselected integrator.
DifferentialEquationInterface - Interface in nl.tudelft.simulation.jstats.ode
An interface for the DifferentialEquation.
Dist - Class in nl.tudelft.simulation.jstats.distributions
The Distribution class forms the basis for all statistical distributions.
Dist(StreamInterface) - Constructor for class nl.tudelft.simulation.jstats.distributions.Dist
Constructs a new Distribution.
DistBernoulli - Class in nl.tudelft.simulation.jstats.distributions
The Bernouilli distribution.
DistBernoulli(StreamInterface, double) - Constructor for class nl.tudelft.simulation.jstats.distributions.DistBernoulli
constructs a new Bernoulli distribution.
DistBeta - Class in nl.tudelft.simulation.jstats.distributions
The Beta distribution.
DistBeta(StreamInterface, double, double) - Constructor for class nl.tudelft.simulation.jstats.distributions.DistBeta
constructs a new beta distribution.
DistBinomial - Class in nl.tudelft.simulation.jstats.distributions
The Binomial distribution.
DistBinomial(StreamInterface, long, double) - Constructor for class nl.tudelft.simulation.jstats.distributions.DistBinomial
constructs a Binomial distribution.
DistConstant - Class in nl.tudelft.simulation.jstats.distributions
The Constant distribution.
DistConstant(StreamInterface, double) - Constructor for class nl.tudelft.simulation.jstats.distributions.DistConstant
constructs a new constant distribution
DistContinuous - Class in nl.tudelft.simulation.jstats.distributions
The Continuous distribution.
DistContinuous(StreamInterface) - Constructor for class nl.tudelft.simulation.jstats.distributions.DistContinuous
constructs a new continuous distribution
DistDiscrete - Class in nl.tudelft.simulation.jstats.distributions
The discrete distribution.
DistDiscrete(StreamInterface) - Constructor for class nl.tudelft.simulation.jstats.distributions.DistDiscrete
constructs a new disctete distribution
DistDiscreteConstant - Class in nl.tudelft.simulation.jstats.distributions
The Constant distribution.
DistDiscreteConstant(StreamInterface, long) - Constructor for class nl.tudelft.simulation.jstats.distributions.DistDiscreteConstant
creates a new discrete constant distribution
DistDiscreteEmpirical - Class in nl.tudelft.simulation.jstats.distributions
The discrete empirical distribution as defined on page 326 of Law&Kelton.
DistDiscreteEmpirical(StreamInterface, ObservationsInterface) - Constructor for class nl.tudelft.simulation.jstats.distributions.DistDiscreteEmpirical
constructs a new DistDiscreteEmpirical distribution.
DistDiscreteEmpirical(StreamInterface, Long[]) - Constructor for class nl.tudelft.simulation.jstats.distributions.DistDiscreteEmpirical
constructs a new DistDiscreteEmpirical distribution.
DistDiscreteEmpirical(StreamInterface, long[]) - Constructor for class nl.tudelft.simulation.jstats.distributions.DistDiscreteEmpirical
constructs a new DistDiscreteEmpirical distribution.
DistDiscreteEmpirical(StreamInterface, SortedMap, boolean) - Constructor for class nl.tudelft.simulation.jstats.distributions.DistDiscreteEmpirical
constructs a new DistDiscreteEmpirical distribution.
DistDiscreteUniform - Class in nl.tudelft.simulation.jstats.distributions
The discrete Uniform distribution.
DistDiscreteUniform(StreamInterface, long, long) - Constructor for class nl.tudelft.simulation.jstats.distributions.DistDiscreteUniform
constructs a new uniform distribution.
DistEmpirical - Class in nl.tudelft.simulation.jstats.distributions
The histogram specifies a histogram chart for the DSOL framework.
DistEmpirical(StreamInterface, ObservationsInterface) - Constructor for class nl.tudelft.simulation.jstats.distributions.DistEmpirical
constructs a new DistEmpirical
DistEmpirical(StreamInterface, Double[]) - Constructor for class nl.tudelft.simulation.jstats.distributions.DistEmpirical
constructs a new DistEmpirical
DistEmpirical(StreamInterface, List) - Constructor for class nl.tudelft.simulation.jstats.distributions.DistEmpirical
constructs a new DistEmpirical
DistEmpirical(StreamInterface, SortedMap, boolean) - Constructor for class nl.tudelft.simulation.jstats.distributions.DistEmpirical
constructs a new DistEmpirical
DistErlang - Class in nl.tudelft.simulation.jstats.distributions
The Erlang distribution.
DistErlang(StreamInterface, int, double) - Constructor for class nl.tudelft.simulation.jstats.distributions.DistErlang
constructs a new Erlang distribution
DistExponential - Class in nl.tudelft.simulation.jstats.distributions
The Exponential distribution.
DistExponential(StreamInterface, double) - Constructor for class nl.tudelft.simulation.jstats.distributions.DistExponential
constructs a new exponential function.
DistGamma - Class in nl.tudelft.simulation.jstats.distributions
The Gamma distribution.
DistGamma(StreamInterface, double, double) - Constructor for class nl.tudelft.simulation.jstats.distributions.DistGamma
constructs a new gamma distribution.
DistGeometric - Class in nl.tudelft.simulation.jstats.distributions
The Geometric distribution.
DistGeometric(StreamInterface, double) - Constructor for class nl.tudelft.simulation.jstats.distributions.DistGeometric
constructs a new geometric distribution
DistLogNormal - Class in nl.tudelft.simulation.jstats.distributions
The LogNormal distribution.
DistLogNormal(StreamInterface, double, double) - Constructor for class nl.tudelft.simulation.jstats.distributions.DistLogNormal
constructs a new logaritmic normal distribution
DistNegBinomial - Class in nl.tudelft.simulation.jstats.distributions
The NegBinomial distribution.
DistNegBinomial(StreamInterface, long, double) - Constructor for class nl.tudelft.simulation.jstats.distributions.DistNegBinomial
constructs a new negative benomial distribution
DistNormal - Class in nl.tudelft.simulation.jstats.distributions
The Normal distribution.
DistNormal(StreamInterface) - Constructor for class nl.tudelft.simulation.jstats.distributions.DistNormal
constructs a normal distribution with mu=0 and sigma=1.
DistNormal(StreamInterface, double, double) - Constructor for class nl.tudelft.simulation.jstats.distributions.DistNormal
constructs a normal distribution with mu=0 and sigma=1
DistPearson5 - Class in nl.tudelft.simulation.jstats.distributions
The Pearson5 distribution.
DistPearson5(StreamInterface, double, double) - Constructor for class nl.tudelft.simulation.jstats.distributions.DistPearson5
constructs a new Pearson5 distribution
DistPearson6 - Class in nl.tudelft.simulation.jstats.distributions
The Pearson6 distribution.
DistPearson6(StreamInterface, double, double, double) - Constructor for class nl.tudelft.simulation.jstats.distributions.DistPearson6
constructs a new Pearson5 distribution
DistPoisson - Class in nl.tudelft.simulation.jstats.distributions
The Poisson distribution.
DistPoisson(StreamInterface, double) - Constructor for class nl.tudelft.simulation.jstats.distributions.DistPoisson
constructs a new poisson distribution
DistTriangular - Class in nl.tudelft.simulation.jstats.distributions
The Triangular distribution.
DistTriangular(StreamInterface, double, double, double) - Constructor for class nl.tudelft.simulation.jstats.distributions.DistTriangular
constructs a new triangular distribution
DistUniform - Class in nl.tudelft.simulation.jstats.distributions
The Uniform distribution.
DistUniform(StreamInterface, double, double) - Constructor for class nl.tudelft.simulation.jstats.distributions.DistUniform
constructs a new uniform distribution.
DistWeibull - Class in nl.tudelft.simulation.jstats.distributions
The Weibull distribution.
DistWeibull(StreamInterface, double, double) - Constructor for class nl.tudelft.simulation.jstats.distributions.DistWeibull
constructs a new Weibull distribution
domain - Variable in class nl.tudelft.simulation.jstats.charts.histogram.HistogramDataset
domain is the minimal value to be displayed in this set
draw(Graphics2D, Rectangle2D, Point2D, PlotState, PlotRenderingInfo) - Method in class nl.tudelft.simulation.jstats.charts.boxAndWhisker.BoxAndWhiskerPlot
 
draw(Graphics2D, Rectangle2D, PlotState, PlotRenderingInfo) - Method in class nl.tudelft.simulation.jstats.charts.boxAndWhisker.BoxAndWhiskerPlot
 
draw(Graphics2D, double, Rectangle2D, Rectangle2D, RectangleEdge, PlotRenderingInfo) - Method in class nl.tudelft.simulation.jstats.charts.histogram.HistogramDomainAxis
 
draw() - Method in class nl.tudelft.simulation.jstats.distributions.DistBernoulli
draws the next value from the Bernoulli distribution.
draw() - Method in class nl.tudelft.simulation.jstats.distributions.DistBeta
 
draw() - Method in class nl.tudelft.simulation.jstats.distributions.DistBinomial
 
draw() - Method in class nl.tudelft.simulation.jstats.distributions.DistConstant
 
draw() - Method in class nl.tudelft.simulation.jstats.distributions.DistContinuous
draws the next stream value according to the probability of this this distribution.
draw() - Method in class nl.tudelft.simulation.jstats.distributions.DistDiscrete
draws the next long from the stream.
draw() - Method in class nl.tudelft.simulation.jstats.distributions.DistDiscreteConstant
 
draw() - Method in class nl.tudelft.simulation.jstats.distributions.DistDiscreteEmpirical
 
draw() - Method in class nl.tudelft.simulation.jstats.distributions.DistDiscreteUniform
 
draw() - Method in class nl.tudelft.simulation.jstats.distributions.DistEmpirical
 
draw() - Method in class nl.tudelft.simulation.jstats.distributions.DistErlang
 
draw() - Method in class nl.tudelft.simulation.jstats.distributions.DistExponential
 
draw() - Method in class nl.tudelft.simulation.jstats.distributions.DistGamma
 
draw() - Method in class nl.tudelft.simulation.jstats.distributions.DistGeometric
 
draw() - Method in class nl.tudelft.simulation.jstats.distributions.DistLogNormal
 
draw() - Method in class nl.tudelft.simulation.jstats.distributions.DistNegBinomial
 
draw() - Method in class nl.tudelft.simulation.jstats.distributions.DistNormal
 
draw() - Method in class nl.tudelft.simulation.jstats.distributions.DistPearson5
 
draw() - Method in class nl.tudelft.simulation.jstats.distributions.DistPearson6
 
draw() - Method in class nl.tudelft.simulation.jstats.distributions.DistPoisson
 
draw() - Method in class nl.tudelft.simulation.jstats.distributions.DistTriangular
 
draw() - Method in class nl.tudelft.simulation.jstats.distributions.DistUniform
 
draw() - Method in class nl.tudelft.simulation.jstats.distributions.DistWeibull
 
DX120Generator - Class in nl.tudelft.simulation.jstats.streams
The DX-120-4 pseudo random number generator.
DX120Generator() - Constructor for class nl.tudelft.simulation.jstats.streams.DX120Generator
constructs a new LC48Generator.
DX120Generator(long) - Constructor for class nl.tudelft.simulation.jstats.streams.DX120Generator
constructs a new LC48Generator
dy(double, double[]) - Method in interface nl.tudelft.simulation.jstats.ode.DifferentialEquationInterface
returns dy as a function of x,y

E

entries - Variable in class nl.tudelft.simulation.jstats.charts.xy.XYSeries
the entries of the serie
equation - Variable in class nl.tudelft.simulation.jstats.ode.integrators.NumericalIntegrator
the equation to integrate
error - Variable in class nl.tudelft.simulation.jstats.ode.integrators.NumericalIntegrator
the calculated error of the last step
Euler - Class in nl.tudelft.simulation.jstats.ode.integrators
The Euler numerical estimator as described in http://mathworld.wolfram.com/EulerForwardMethod.html
Euler(double, DifferentialEquationInterface) - Constructor for class nl.tudelft.simulation.jstats.ode.integrators.Euler
constructs a new Euler
EULER - Static variable in class nl.tudelft.simulation.jstats.ode.integrators.NumericalIntegrator
Euler's integration

F

faculty(int) - Static method in class nl.tudelft.simulation.jstats.math.ProbMath
computes the faculty of n.
filter(Object) - Method in class nl.tudelft.simulation.jstats.filters.MaxDiffFilter
filters based on the maximum difference.
filter(Object) - Method in class nl.tudelft.simulation.jstats.filters.SnippetFilter
 
filter - Variable in class nl.tudelft.simulation.jstats.statistics.StatisticsObject
the filter applied to the Counter
FONT - Static variable in class nl.tudelft.simulation.jstats.charts.boxAndWhisker.BoxAndWhiskerPlot
FONT defines the font of the plot
formatter - Variable in class nl.tudelft.simulation.jstats.charts.boxAndWhisker.BoxAndWhiskerPlot
formatter formats the text

G

get(int) - Method in class nl.tudelft.simulation.jstats.distributions.empirical.Observations
Returns the element at the specified position in this structure.
get(int) - Method in interface nl.tudelft.simulation.jstats.distributions.empirical.ObservationsInterface
Returns the element at the specified position in this structure.
getBinCount() - Method in class nl.tudelft.simulation.jstats.charts.histogram.HistogramSeries
returns the number of bins in the histogram
getCeilingEntry(Number, byte, boolean) - Method in class nl.tudelft.simulation.jstats.distributions.empirical.Observations
Gets the entry corresponding to the specified key if inclusive; if not inclusive or such entry does not exists, returns the entry for the least key greater than the specified key; if no such entry exists (i.e., the greatest key in the Tree is less than the specified key), returns null.
getCeilingEntry(Number, byte, boolean) - Method in interface nl.tudelft.simulation.jstats.distributions.empirical.ObservationsInterface
Gets the entry corresponding to the specified object if inclusive; if not inclusive or such entry does not exists, returns the entry for the least object greater than the specified object; if no such entry exists (i.e., the greatest object in the Tree is less than the specified object), returns null.
getChart() - Method in class nl.tudelft.simulation.jstats.charts.boxAndWhisker.BoxAndWhiskerChart
returns the chart
getChart() - Method in class nl.tudelft.simulation.jstats.charts.histogram.Histogram
returns the chart
getChart() - Method in class nl.tudelft.simulation.jstats.charts.xy.XYChart
returns the chart
getConfidenceInterval() - Method in class nl.tudelft.simulation.jstats.charts.boxAndWhisker.BoxAndWhiskerChart
Returns the confidence interval of the BoxAndWhiskerPlot
getConfidenceInterval() - Method in class nl.tudelft.simulation.jstats.charts.boxAndWhisker.BoxAndWhiskerPlot
Returns the confidence interval of the BoxAndWhiskerPlot
getConfidenceInterval(double) - Method in class nl.tudelft.simulation.jstats.statistics.Tally
returns the confidence interval on either side of the mean
getConfidenceInterval(double, short) - Method in class nl.tudelft.simulation.jstats.statistics.Tally
returns the confidence interval based of the mean
getCount() - Method in class nl.tudelft.simulation.jstats.statistics.Counter
Returns the current counter value
getCriterium() - Method in class nl.tudelft.simulation.jstats.filters.MaxDiffFilter
 
getCriterium() - Method in class nl.tudelft.simulation.jstats.filters.SnippetFilter
 
getCumProbabilities() - Method in class nl.tudelft.simulation.jstats.distributions.empirical.Observations
Returns the cummulative probabilities
getCumProbabilities() - Method in interface nl.tudelft.simulation.jstats.distributions.empirical.ObservationsInterface
Returns the observations
getCumProbability() - Method in class nl.tudelft.simulation.jstats.distributions.empirical.Observations.Observation
 
getCumProbability() - Method in interface nl.tudelft.simulation.jstats.distributions.empirical.ObservationsInterface.Entry
Returns the cummulative probability corresponding to this entry.
getCumulativeProbability(double) - Method in class nl.tudelft.simulation.jstats.distributions.DistNormal
returns the cumulative probability of the x-value.
getDataset() - Method in class nl.tudelft.simulation.jstats.charts.histogram.Histogram
returns the dataset of a histogram.
getDataset() - Method in class nl.tudelft.simulation.jstats.charts.xy.XYChart
returns the dataset of a xyChart
getDescription() - Method in class nl.tudelft.simulation.jstats.statistics.Counter
returns the description of the counter
getDescription() - Method in class nl.tudelft.simulation.jstats.statistics.Tally
returns the description of this tally
getDomainOrder() - Method in class nl.tudelft.simulation.jstats.charts.histogram.HistogramDataset
 
getDomainOrder() - Method in class nl.tudelft.simulation.jstats.charts.xy.XYDataset
 
getDY(int) - Method in class nl.tudelft.simulation.jstats.ode.integrators.CachingNumericalIntegrator
get a cached dY-value,
getEndX(int, int) - Method in class nl.tudelft.simulation.jstats.charts.histogram.HistogramDataset
 
getEndXValue(int, int) - Method in class nl.tudelft.simulation.jstats.charts.histogram.HistogramDataset
 
getEndXValue(int) - Method in class nl.tudelft.simulation.jstats.charts.histogram.HistogramSeries
returns the maxX value for bin
getEndY(int, int) - Method in class nl.tudelft.simulation.jstats.charts.histogram.HistogramDataset
 
getEndYValue(int, int) - Method in class nl.tudelft.simulation.jstats.charts.histogram.HistogramDataset
 
getEndYValue(int) - Method in class nl.tudelft.simulation.jstats.charts.histogram.HistogramSeries
returns the maxY value
getEntry(Number, byte) - Method in class nl.tudelft.simulation.jstats.distributions.empirical.Observations
Returns the entry to which the structure maps the specific object.
getEntry(Number, byte) - Method in interface nl.tudelft.simulation.jstats.distributions.empirical.ObservationsInterface
Returns the entry to which the structure maps the specific object.
getError() - Method in class nl.tudelft.simulation.jstats.ode.integrators.NumericalIntegrator
 
getIndex(ObservationsInterface.Entry) - Method in class nl.tudelft.simulation.jstats.distributions.empirical.Observations
Returns the index of the entry of this structure.
getIndex(Number, byte) - Method in class nl.tudelft.simulation.jstats.distributions.empirical.Observations
returns the preceding index of the object
getIndex(ObservationsInterface.Entry) - Method in interface nl.tudelft.simulation.jstats.distributions.empirical.ObservationsInterface
Returns the index of the entry of this structure.
getIntegrator() - Method in class nl.tudelft.simulation.jstats.ode.DifferentialEquation
 
getInverseCumulativeProbability(double) - Method in class nl.tudelft.simulation.jstats.distributions.DistNormal
returns the x-value of the given cumulativePropability.
getItemCount(int) - Method in class nl.tudelft.simulation.jstats.charts.histogram.HistogramDataset
 
getItemCount(int) - Method in class nl.tudelft.simulation.jstats.charts.xy.XYDataset
 
getItemCount() - Method in class nl.tudelft.simulation.jstats.charts.xy.XYSeries
returns the number of items in this seris
getMax() - Method in class nl.tudelft.simulation.jstats.statistics.Tally
Returns the max.
getMin() - Method in class nl.tudelft.simulation.jstats.statistics.Tally
Returns the min.
getN() - Method in class nl.tudelft.simulation.jstats.statistics.Counter
Returns the current number of observations
getN() - Method in class nl.tudelft.simulation.jstats.statistics.Tally
Returns the number of observations
getName() - Method in class nl.tudelft.simulation.jstats.charts.histogram.HistogramSeries
returns the name of the serie
getObservation() - Method in class nl.tudelft.simulation.jstats.distributions.empirical.Observations.Observation
Returns the observation corresponding to this entry.
getObservation() - Method in interface nl.tudelft.simulation.jstats.distributions.empirical.ObservationsInterface.Entry
Returns the observation corresponding to this entry.
getObservations() - Method in class nl.tudelft.simulation.jstats.distributions.empirical.Observations
Returns the observations
getObservations() - Method in interface nl.tudelft.simulation.jstats.distributions.empirical.ObservationsInterface
Returns the observations
getPlotType() - Method in class nl.tudelft.simulation.jstats.charts.boxAndWhisker.BoxAndWhiskerPlot
 
getPrecedingEntry(Number, byte, boolean) - Method in class nl.tudelft.simulation.jstats.distributions.empirical.Observations
Gets the entry corresponding to the specified key if inclusive; if not inclusive or such entry does not exists, returns the entry for the greatest key less than the specified key; if no such entry exists (i.e., the least key in the Tree is greater than the specified key), returns null.
getPrecedingEntry(Number, byte, boolean) - Method in interface nl.tudelft.simulation.jstats.distributions.empirical.ObservationsInterface
Gets the entry corresponding to the specified object if inclusive; if not inclusive or such entry does not exists, returns the entry for the greatest object less than the specified object; if no such entry exists (i.e., the least object in the Tree is greater than the specified object), returns null.
getPrecedingIndex(Number, byte) - Method in class nl.tudelft.simulation.jstats.distributions.empirical.Observations
returns the preceding index of the object
getSampleMean() - Method in class nl.tudelft.simulation.jstats.statistics.Tally
Returns the sampleMean of all oberservations since the initialization
getSampleVariance() - Method in class nl.tudelft.simulation.jstats.statistics.Persistent
 
getSampleVariance() - Method in class nl.tudelft.simulation.jstats.statistics.Tally
Returns the current tally variance
getSeed() - Method in class nl.tudelft.simulation.jstats.streams.Java2Random
 
getSeed() - Method in class nl.tudelft.simulation.jstats.streams.RandomNumberGenerator
 
getSeed() - Method in interface nl.tudelft.simulation.jstats.streams.StreamInterface
returns the seed of the generator
getSeriesCount() - Method in class nl.tudelft.simulation.jstats.charts.histogram.HistogramDataset
 
getSeriesCount() - Method in class nl.tudelft.simulation.jstats.charts.xy.XYDataset
 
getSeriesKey(int) - Method in class nl.tudelft.simulation.jstats.charts.histogram.HistogramDataset
 
getSeriesKey(int) - Method in class nl.tudelft.simulation.jstats.charts.xy.XYDataset
 
getSeriesName(int) - Method in class nl.tudelft.simulation.jstats.charts.histogram.HistogramDataset
 
getSeriesName(int) - Method in class nl.tudelft.simulation.jstats.charts.xy.XYDataset
 
getSeriesName() - Method in class nl.tudelft.simulation.jstats.charts.xy.XYSeries
returns the name of this serie
getStartX(int, int) - Method in class nl.tudelft.simulation.jstats.charts.histogram.HistogramDataset
 
getStartXValue(int, int) - Method in class nl.tudelft.simulation.jstats.charts.histogram.HistogramDataset
 
getStartXValue(int) - Method in class nl.tudelft.simulation.jstats.charts.histogram.HistogramSeries
returns the minimumX value
getStartY(int, int) - Method in class nl.tudelft.simulation.jstats.charts.histogram.HistogramDataset
 
getStartYValue(int, int) - Method in class nl.tudelft.simulation.jstats.charts.histogram.HistogramDataset
 
getStartYValue(int) - Method in class nl.tudelft.simulation.jstats.charts.histogram.HistogramSeries
returns the minimumY value
getStdDev() - Method in class nl.tudelft.simulation.jstats.statistics.Persistent
 
getStdDev() - Method in class nl.tudelft.simulation.jstats.statistics.Tally
Returns the current tally standard deviation
getSum() - Method in class nl.tudelft.simulation.jstats.statistics.Tally
returns the sum of the values of the observations
getSwingPanel() - Method in class nl.tudelft.simulation.jstats.charts.boxAndWhisker.BoxAndWhiskerChart
returns the swing panel of this chart
getSwingPanel() - Method in class nl.tudelft.simulation.jstats.charts.histogram.Histogram
returns the chartPanel of this histogram.
getSwingPanel() - Method in class nl.tudelft.simulation.jstats.charts.xy.XYChart
returns the chartPanel of this xyChart
getSwingPanel() - Method in class nl.tudelft.simulation.jstats.statistics.StatisticsObject
represents this statisticsObject as Container.
getSwingPanel() - Method in interface nl.tudelft.simulation.jstats.Swingable
represents this statisticsObject as Swing Container
getTable() - Method in class nl.tudelft.simulation.jstats.statistics.Counter
 
getTable() - Method in class nl.tudelft.simulation.jstats.statistics.StatisticsObject
represents the statistics object as Table.
getTable() - Method in class nl.tudelft.simulation.jstats.statistics.Tally
 
getTimeStep() - Method in class nl.tudelft.simulation.jstats.ode.integrators.NumericalIntegrator
 
getX(int, int) - Method in class nl.tudelft.simulation.jstats.charts.histogram.HistogramDataset
 
getX(int, int) - Method in class nl.tudelft.simulation.jstats.charts.xy.XYDataset
 
getXValue(int, int) - Method in class nl.tudelft.simulation.jstats.charts.histogram.HistogramDataset
 
getXValue(int) - Method in class nl.tudelft.simulation.jstats.charts.histogram.HistogramSeries
returns the x value
getXValue(int, int) - Method in class nl.tudelft.simulation.jstats.charts.xy.XYDataset
 
getXValue(int) - Method in class nl.tudelft.simulation.jstats.charts.xy.XYSeries
returns the X value
getY(int, int) - Method in class nl.tudelft.simulation.jstats.charts.histogram.HistogramDataset
 
getY(int, int) - Method in class nl.tudelft.simulation.jstats.charts.xy.XYDataset
 
getY(int) - Method in class nl.tudelft.simulation.jstats.ode.integrators.CachingNumericalIntegrator
get a cached Y-value,
getYValue(int, int) - Method in class nl.tudelft.simulation.jstats.charts.histogram.HistogramDataset
 
getYValue(int) - Method in class nl.tudelft.simulation.jstats.charts.histogram.HistogramSeries
returns the Y value
getYValue(int, int) - Method in class nl.tudelft.simulation.jstats.charts.xy.XYDataset
 
getYValue(int) - Method in class nl.tudelft.simulation.jstats.charts.xy.XYSeries
returns the yValue
Gill - Class in nl.tudelft.simulation.jstats.ode.integrators
The Gill numerical estimator as described in http://mathworld.wolfram.com/GillsMethod.html
Gill(double, DifferentialEquationInterface) - Constructor for class nl.tudelft.simulation.jstats.ode.integrators.Gill
constructs a new Gill integrator
GILL - Static variable in class nl.tudelft.simulation.jstats.ode.integrators.NumericalIntegrator
Gill's integration

H

haveNextNextGaussian - Variable in class nl.tudelft.simulation.jstats.distributions.DistNormal
haveNextNextGaussian is a helper attribute
Heun - Class in nl.tudelft.simulation.jstats.ode.integrators
The Heun numerical estimator.
Heun(double, DifferentialEquationInterface) - Constructor for class nl.tudelft.simulation.jstats.ode.integrators.Heun
constructs a new Heun
HEUN - Static variable in class nl.tudelft.simulation.jstats.ode.integrators.NumericalIntegrator
Heun's integration
Histogram - Class in nl.tudelft.simulation.jstats.charts.histogram
The histogram specifies a histogram chart for the DSOL framework.
Histogram(String, double[], int) - Constructor for class nl.tudelft.simulation.jstats.charts.histogram.Histogram
constructs a new Histogram
Histogram(String, double[], double[], int) - Constructor for class nl.tudelft.simulation.jstats.charts.histogram.Histogram
constructs a new Histogram.
HistogramDataset - Class in nl.tudelft.simulation.jstats.charts.histogram
The dataset defines a histogram data set.
HistogramDataset(double[], double[], int) - Constructor for class nl.tudelft.simulation.jstats.charts.histogram.HistogramDataset
constructs a new HistogramDataset
HistogramDomainAxis - Class in nl.tudelft.simulation.jstats.charts.histogram
The histogram domainAxis defines the x-Axis of a histogram.
HistogramDomainAxis(XYPlot, String, double[], int) - Constructor for class nl.tudelft.simulation.jstats.charts.histogram.HistogramDomainAxis
constructs a new HistogramDomainAxis
HistogramSeries - Class in nl.tudelft.simulation.jstats.charts.histogram
The serie defines a histogram series containing the entries of a set.
HistogramSeries(String, double[], double[], int) - Constructor for class nl.tudelft.simulation.jstats.charts.histogram.HistogramSeries
constructs a new HistogramSeries

I

indexOf(Comparable) - Method in class nl.tudelft.simulation.jstats.charts.histogram.HistogramDataset
 
indexOf(Comparable) - Method in class nl.tudelft.simulation.jstats.charts.xy.XYDataset
 
initialize(double, double[]) - Method in class nl.tudelft.simulation.jstats.ode.DifferentialEquation
 
initialize(double, double[]) - Method in interface nl.tudelft.simulation.jstats.ode.DifferentialEquationInterface
initializes the differential equation
initialize() - Method in class nl.tudelft.simulation.jstats.statistics.Counter
initializes the counter
initialize() - Method in class nl.tudelft.simulation.jstats.statistics.Persistent
 
initialize() - Method in class nl.tudelft.simulation.jstats.statistics.Tally
initializes the Tally.
integrateY(double, double, double[]) - Method in class nl.tudelft.simulation.jstats.ode.DifferentialEquation
integrates Y
isEmpty() - Method in class nl.tudelft.simulation.jstats.distributions.empirical.Observations
 
isEmpty() - Method in interface nl.tudelft.simulation.jstats.distributions.empirical.ObservationsInterface
Returns true if this structure contains no object-value mappings.
isGrouped() - Method in class nl.tudelft.simulation.jstats.distributions.empirical.Observations
 
isGrouped() - Method in interface nl.tudelft.simulation.jstats.distributions.empirical.ObservationsInterface
Returns true if this structure contains grouped empirical data.
isInitialized() - Method in class nl.tudelft.simulation.jstats.statistics.Counter
is the counter initialized?
isInitialized() - Method in class nl.tudelft.simulation.jstats.statistics.Tally
is this tally initialized?

J

java2DToValue(double, Rectangle2D, RectangleEdge) - Method in class nl.tudelft.simulation.jstats.charts.histogram.HistogramDomainAxis
 
Java2Random - Class in nl.tudelft.simulation.jstats.streams
The Java2Random is an extention of the java.util.Random class which implements the StreamInterface.
Java2Random() - Constructor for class nl.tudelft.simulation.jstats.streams.Java2Random
creates a new Java2Random and in initializes with System.currentTimeMillis constructs a new Java2Random
Java2Random(long) - Constructor for class nl.tudelft.simulation.jstats.streams.Java2Random
 

L

LABEL_X_AXIS - Static variable in class nl.tudelft.simulation.jstats.charts.histogram.Histogram
LABEL_X_AXIS is the label on the X-axis
LABEL_X_AXIS - Static variable in class nl.tudelft.simulation.jstats.charts.xy.XYChart
LABEL_X_AXIS is the label on the X-axis
LABEL_Y_AXIS - Static variable in class nl.tudelft.simulation.jstats.charts.histogram.Histogram
LABEL_Y_AXIS is the label on the Y-axis
LABEL_Y_AXIS - Static variable in class nl.tudelft.simulation.jstats.charts.xy.XYChart
LABEL_Y_AXIS is the label on the Y-axis
labels - Variable in class nl.tudelft.simulation.jstats.charts.histogram.HistogramDomainAxis
labels refers to the labels to be printed
LEFT_SIDE_CONFIDENCE - Static variable in class nl.tudelft.simulation.jstats.statistics.Tally
LEFT_SIDE_CONFIDENCE refers to the left side confidence
LOWER_RANGE_EVENT - Static variable in class nl.tudelft.simulation.jstats.charts.xy.XYSeries
LOWER_RANGE_EVENT is fired on a range change

M

max - Variable in class nl.tudelft.simulation.jstats.statistics.Tally
maxrefers to the max of the tally
MAX_EVENT - Static variable in class nl.tudelft.simulation.jstats.statistics.Tally
MAX_EVENT is fired whenever a new maximum value has reached
MaxDiffFilter - Class in nl.tudelft.simulation.jstats.filters
The MaxDiffFilter accepts entries if their value> percentage of the last received Value.
MaxDiffFilter(double) - Constructor for class nl.tudelft.simulation.jstats.filters.MaxDiffFilter
constructs a new MaxDiffFilter
maxLabelHeight - Variable in class nl.tudelft.simulation.jstats.charts.histogram.HistogramDomainAxis
maxLabelHeight refers to the maximum label heigth
MersenneTwister - Class in nl.tudelft.simulation.jstats.streams
A java implementation of the Mersenne Twister pseudo random number generator.
MersenneTwister() - Constructor for class nl.tudelft.simulation.jstats.streams.MersenneTwister
constructs a new Mersenne Twister.
MersenneTwister(long) - Constructor for class nl.tudelft.simulation.jstats.streams.MersenneTwister
Constructor using a given seed.
Milne - Class in nl.tudelft.simulation.jstats.ode.integrators
The Milne numerical estimator as described in http://mathworld.wolfram.com/MilnesMethod.html
Milne(double, DifferentialEquationInterface) - Constructor for class nl.tudelft.simulation.jstats.ode.integrators.Milne
constructs a new Milne integrator
Milne(double, DifferentialEquationInterface, short, int) - Constructor for class nl.tudelft.simulation.jstats.ode.integrators.Milne
constructs a new Milne integrator, indicating the starting method and number of substeps
MILNE - Static variable in class nl.tudelft.simulation.jstats.ode.integrators.NumericalIntegrator
Milne's integration
min - Variable in class nl.tudelft.simulation.jstats.statistics.Tally
min refers to the min of the tally
MIN_EVENT - Static variable in class nl.tudelft.simulation.jstats.statistics.Tally
MIN_EVENT is fired whenever a new minimum value has reached
mu - Variable in class nl.tudelft.simulation.jstats.distributions.DistNormal
mu refers to the mean of the normal distribution
multiply(double, double[]) - Method in class nl.tudelft.simulation.jstats.ode.integrators.NumericalIntegrator
multiplies a vector with a constant

N

n - Variable in class nl.tudelft.simulation.jstats.statistics.Counter
n represents the number of measurements
n - Variable in class nl.tudelft.simulation.jstats.statistics.Tally
n refers to the number of measurements
N_EVENT - Static variable in class nl.tudelft.simulation.jstats.statistics.Counter
N_EVENT is fired on every new measurement
N_EVENT - Static variable in class nl.tudelft.simulation.jstats.statistics.Tally
N_EVENT is fired whenever on a change in measurements
next(double) - Method in class nl.tudelft.simulation.jstats.ode.integrators.Adams
 
next(double, double[]) - Method in class nl.tudelft.simulation.jstats.ode.integrators.CachingNumericalIntegrator
 
next(double) - Method in class nl.tudelft.simulation.jstats.ode.integrators.CachingNumericalIntegrator
The integrators that extend the CachingNumericalIntegrator calculate the value of y(x+timeStep) just based on the x-value.
next(double, double[]) - Method in class nl.tudelft.simulation.jstats.ode.integrators.Euler
 
next(double, double[]) - Method in class nl.tudelft.simulation.jstats.ode.integrators.Gill
 
next(double, double[]) - Method in class nl.tudelft.simulation.jstats.ode.integrators.Heun
 
next(double) - Method in class nl.tudelft.simulation.jstats.ode.integrators.Milne
 
next(double, double[]) - Method in class nl.tudelft.simulation.jstats.ode.integrators.NumericalIntegrator
computes the next value
next(double, double[]) - Method in class nl.tudelft.simulation.jstats.ode.integrators.RungeKutta3
 
next(double, double[]) - Method in class nl.tudelft.simulation.jstats.ode.integrators.RungeKutta4
 
next(double, double[]) - Method in class nl.tudelft.simulation.jstats.ode.integrators.RungeKuttaCashCarp
 
next(double, double[]) - Method in class nl.tudelft.simulation.jstats.ode.integrators.RungeKuttaFehlberg
 
next(int) - Method in class nl.tudelft.simulation.jstats.streams.DX120Generator
 
next(int) - Method in class nl.tudelft.simulation.jstats.streams.MersenneTwister
 
next(int) - Method in class nl.tudelft.simulation.jstats.streams.RandomNumberGenerator
returns the next value in the stream.
nextBoolean() - Method in class nl.tudelft.simulation.jstats.streams.RandomNumberGenerator
Returns the next pseudorandom, uniformly distributed boolean value from this random number generator's sequence.
nextBoolean() - Method in interface nl.tudelft.simulation.jstats.streams.StreamInterface
Returns the next pseudorandom, uniformly distributed boolean value from this random number generator's sequence.
nextDouble() - Method in class nl.tudelft.simulation.jstats.streams.RandomNumberGenerator
Returns the next pseudorandom, uniformly distributed double value between 0.0 and 1.0 from this random number generator's sequence.
nextDouble() - Method in interface nl.tudelft.simulation.jstats.streams.StreamInterface
Method return a (pseudo)random number from the stream over the interval (0,1) using this stream, after advancing its state by one step.
nextFloat() - Method in class nl.tudelft.simulation.jstats.streams.RandomNumberGenerator
Returns the next pseudorandom, uniformly distributed float value between 0.0 and 1.0 from this random number generator's sequence.
nextFloat() - Method in interface nl.tudelft.simulation.jstats.streams.StreamInterface
Method return a (pseudo)random number from the stream over the interval (0,1) using this stream, after advancing its state by one step.
nextGaussian() - Method in class nl.tudelft.simulation.jstats.distributions.DistNormal
Generates the next pseudorandom, Gaussian (normally) distributed double value, with mean 0.0 and standard deviation 1.0 see section 3.4.1 of The Art of Computer Programming, Volume 2 by Donald Knuth.
nextInt(int, int) - Method in class nl.tudelft.simulation.jstats.streams.Java2Random
 
nextInt() - Method in class nl.tudelft.simulation.jstats.streams.RandomNumberGenerator
Returns the next pseudorandom, uniformly distributed int value from this random number generator's sequence.
nextInt(int, int) - Method in class nl.tudelft.simulation.jstats.streams.RandomNumberGenerator
Returns a pseudorandom, uniformly distributed int value between i (inclusive) and j, drawn from this random number generator's sequence.
nextInt() - Method in interface nl.tudelft.simulation.jstats.streams.StreamInterface
Method return a (pseudo)random number from the stream over using this stream, after advancing its state by one step.
nextInt(int, int) - Method in interface nl.tudelft.simulation.jstats.streams.StreamInterface
Method returns (pseudo)random number from the stream over the integers i and j .
nextLong() - Method in class nl.tudelft.simulation.jstats.streams.RandomNumberGenerator
Returns the next pseudorandom, uniformly distributed long value from this random number generator's sequence.
nextLong() - Method in interface nl.tudelft.simulation.jstats.streams.StreamInterface
Method return a (pseudo)random number from the stream over using this stream, after advancing its state by one step.
nk - Static variable in class nl.tudelft.simulation.jstats.ode.integrators.RungeKuttaCashCarp
the numer of k-s in the method
nk - Static variable in class nl.tudelft.simulation.jstats.ode.integrators.RungeKuttaFehlberg
the numer of k-s in the method
nl.tudelft.simulation.jstats - package nl.tudelft.simulation.jstats
Provides classes and interfaces for the JSTATS statistical package.
nl.tudelft.simulation.jstats.charts.boxAndWhisker - package nl.tudelft.simulation.jstats.charts.boxAndWhisker
 
nl.tudelft.simulation.jstats.charts.histogram - package nl.tudelft.simulation.jstats.charts.histogram
 
nl.tudelft.simulation.jstats.charts.xy - package nl.tudelft.simulation.jstats.charts.xy
 
nl.tudelft.simulation.jstats.distributions - package nl.tudelft.simulation.jstats.distributions
Useful probability distributions.
nl.tudelft.simulation.jstats.distributions.empirical - package nl.tudelft.simulation.jstats.distributions.empirical
 
nl.tudelft.simulation.jstats.filters - package nl.tudelft.simulation.jstats.filters
 
nl.tudelft.simulation.jstats.math - package nl.tudelft.simulation.jstats.math
Provides classes for basic mathematical functions.
nl.tudelft.simulation.jstats.ode - package nl.tudelft.simulation.jstats.ode
 
nl.tudelft.simulation.jstats.ode.integrators - package nl.tudelft.simulation.jstats.ode.integrators
 
nl.tudelft.simulation.jstats.statistics - package nl.tudelft.simulation.jstats.statistics
 
nl.tudelft.simulation.jstats.streams - package nl.tudelft.simulation.jstats.streams
Provides classes and interfaces for streams used in the JSTATS package.
notify(EventInterface) - Method in class nl.tudelft.simulation.jstats.charts.boxAndWhisker.BoxAndWhiskerPlot
 
notify(EventInterface) - Method in class nl.tudelft.simulation.jstats.charts.histogram.HistogramSeries
 
notify(EventInterface) - Method in class nl.tudelft.simulation.jstats.charts.xy.XYSeries
 
notify(EventInterface) - Method in class nl.tudelft.simulation.jstats.statistics.Counter
 
notify(EventInterface) - Method in class nl.tudelft.simulation.jstats.statistics.Persistent
 
notify(EventInterface) - Method in class nl.tudelft.simulation.jstats.statistics.StatisticsTableModel
 
notify(EventInterface) - Method in class nl.tudelft.simulation.jstats.statistics.Tally
 
numberOfBins - Variable in class nl.tudelft.simulation.jstats.charts.histogram.HistogramDataset
numberOfBins is the number of bins (or categories between min-max)
NumericalIntegrator - Class in nl.tudelft.simulation.jstats.ode.integrators
Provides basic methods for all numerical integration methods.
NumericalIntegrator(double, DifferentialEquationInterface) - Constructor for class nl.tudelft.simulation.jstats.ode.integrators.NumericalIntegrator
constructs a new NumericalIntegrator

O

OBSERVATION - Static variable in interface nl.tudelft.simulation.jstats.distributions.empirical.ObservationsInterface
the OBSERVATION attribute used to define whether operations should be applied on the OBSERVATION or on the CUMPROBABILITY
Observations - Class in nl.tudelft.simulation.jstats.distributions.empirical
The histogram specifies a histogram chart for the DSOL framework.
Observations(Number[]) - Constructor for class nl.tudelft.simulation.jstats.distributions.empirical.Observations
constructs a new Observations
Observations(SortedMap, boolean) - Constructor for class nl.tudelft.simulation.jstats.distributions.empirical.Observations
constructs a new Observations
Observations(Number[][], boolean) - Constructor for class nl.tudelft.simulation.jstats.distributions.empirical.Observations
constructs a new Observations
Observations.Observation - Class in nl.tudelft.simulation.jstats.distributions.empirical
The Observation class holds one observation, cummulative probability entry.
Observations.Observation(Number, Double) - Constructor for class nl.tudelft.simulation.jstats.distributions.empirical.Observations.Observation
constructs a new Observation
ObservationsInterface - Interface in nl.tudelft.simulation.jstats.distributions.empirical
The observations interface is an interface for empirical observations to be used in JStats.
ObservationsInterface.Entry - Interface in nl.tudelft.simulation.jstats.distributions.empirical
A structure entry (observation-cummulative probability pair).

P

permutations(int, int) - Static method in class nl.tudelft.simulation.jstats.math.ProbMath
computes the permutations of n over m.
Persistent - Class in nl.tudelft.simulation.jstats.statistics
The Persisten class defines a statistics event persistent.
Persistent(String) - Constructor for class nl.tudelft.simulation.jstats.statistics.Persistent
constructs a new Persistent with a description.
PLOT_TYPE - Static variable in class nl.tudelft.simulation.jstats.charts.boxAndWhisker.BoxAndWhiskerPlot
PLOT_TYPE refers to the plot type
probability(int) - Method in class nl.tudelft.simulation.jstats.distributions.DistBernoulli
 
probability(int) - Method in class nl.tudelft.simulation.jstats.distributions.DistBinomial
 
probability(int) - Method in class nl.tudelft.simulation.jstats.distributions.DistDiscrete
returns the propbability of the observation in this particular distribution.
probability(int) - Method in class nl.tudelft.simulation.jstats.distributions.DistDiscreteConstant
 
probability(int) - Method in class nl.tudelft.simulation.jstats.distributions.DistDiscreteEmpirical
 
probability(int) - Method in class nl.tudelft.simulation.jstats.distributions.DistDiscreteUniform
 
probability(int) - Method in class nl.tudelft.simulation.jstats.distributions.DistGeometric
 
probability(int) - Method in class nl.tudelft.simulation.jstats.distributions.DistNegBinomial
 
probability(int) - Method in class nl.tudelft.simulation.jstats.distributions.DistPoisson
 
probDensity(double) - Method in class nl.tudelft.simulation.jstats.distributions.DistBeta
 
probDensity(double) - Method in class nl.tudelft.simulation.jstats.distributions.DistConstant
 
probDensity(double) - Method in class nl.tudelft.simulation.jstats.distributions.DistContinuous
returns the propbability density value of an observation
probDensity(double) - Method in class nl.tudelft.simulation.jstats.distributions.DistEmpirical
 
probDensity(double) - Method in class nl.tudelft.simulation.jstats.distributions.DistErlang
 
probDensity(double) - Method in class nl.tudelft.simulation.jstats.distributions.DistExponential
 
probDensity(double) - Method in class nl.tudelft.simulation.jstats.distributions.DistGamma
 
probDensity(double) - Method in class nl.tudelft.simulation.jstats.distributions.DistLogNormal
 
probDensity(double) - Method in class nl.tudelft.simulation.jstats.distributions.DistNormal
 
probDensity(double) - Method in class nl.tudelft.simulation.jstats.distributions.DistPearson5
 
probDensity(double) - Method in class nl.tudelft.simulation.jstats.distributions.DistPearson6
 
probDensity(double) - Method in class nl.tudelft.simulation.jstats.distributions.DistTriangular
 
probDensity(double) - Method in class nl.tudelft.simulation.jstats.distributions.DistUniform
 
probDensity(double) - Method in class nl.tudelft.simulation.jstats.distributions.DistWeibull
 
ProbMath - Class in nl.tudelft.simulation.jstats.math
The PropMath class defines some very basic probabilistic mathematical functions.

R

RandomNumberGenerator - Class in nl.tudelft.simulation.jstats.streams
The RandomNumberGenerator class provides an abstract for all pseudo random number generators.
RandomNumberGenerator() - Constructor for class nl.tudelft.simulation.jstats.streams.RandomNumberGenerator
constructs a new RandomNumberGenerator.
RandomNumberGenerator(long) - Constructor for class nl.tudelft.simulation.jstats.streams.RandomNumberGenerator
constructs a new RandomNumberGenerator.
range - Variable in class nl.tudelft.simulation.jstats.charts.histogram.HistogramDataset
range is the maximum value to be displayed in the set
reserveSpace(Graphics2D, Plot, Rectangle2D, RectangleEdge, AxisSpace) - Method in class nl.tudelft.simulation.jstats.charts.histogram.HistogramDomainAxis
 
reset() - Method in class nl.tudelft.simulation.jstats.streams.Java2Random
resets a stream
reset() - Method in class nl.tudelft.simulation.jstats.streams.RandomNumberGenerator
 
reset() - Method in interface nl.tudelft.simulation.jstats.streams.StreamInterface
resets the stream
resolve(short, double, DifferentialEquationInterface) - Static method in class nl.tudelft.simulation.jstats.ode.integrators.NumericalIntegrator
 
RIGTH_SIDE_CONFIDENCE - Static variable in class nl.tudelft.simulation.jstats.statistics.Tally
RIGTH_SIDE_CONFIDENCE refers to the right side confidence
RUNGEKUTTA3 - Static variable in class nl.tudelft.simulation.jstats.ode.integrators.NumericalIntegrator
RungeKutta's (3rd level) integration
RungeKutta3 - Class in nl.tudelft.simulation.jstats.ode.integrators
The RungeKutta 3 numerical integrator.
RungeKutta3(double, DifferentialEquationInterface) - Constructor for class nl.tudelft.simulation.jstats.ode.integrators.RungeKutta3
constructs a new RungeKutta3
RUNGEKUTTA4 - Static variable in class nl.tudelft.simulation.jstats.ode.integrators.NumericalIntegrator
RungeKutta's (4th level) integration
RungeKutta4 - Class in nl.tudelft.simulation.jstats.ode.integrators
The RungeKutta4 numerical integrator.
RungeKutta4(double, DifferentialEquationInterface) - Constructor for class nl.tudelft.simulation.jstats.ode.integrators.RungeKutta4
constructs a new RungeKutta4
RUNGEKUTTACASHCARP - Static variable in class nl.tudelft.simulation.jstats.ode.integrators.NumericalIntegrator
Runge-Kutta-Cash-Carp integration
RungeKuttaCashCarp - Class in nl.tudelft.simulation.jstats.ode.integrators
The RungeKuttaCashCarp.java numerical integrator.
RungeKuttaCashCarp(double, DifferentialEquationInterface) - Constructor for class nl.tudelft.simulation.jstats.ode.integrators.RungeKuttaCashCarp
constructs a new RungeKuttaCashCarp
RUNGEKUTTAFEHLBERG - Static variable in class nl.tudelft.simulation.jstats.ode.integrators.NumericalIntegrator
Runge-Kutta-Fehlberg integration
RungeKuttaFehlberg - Class in nl.tudelft.simulation.jstats.ode.integrators
The RungeKuttaFehlberg.java numerical integrator.
RungeKuttaFehlberg(double, DifferentialEquationInterface) - Constructor for class nl.tudelft.simulation.jstats.ode.integrators.RungeKuttaFehlberg
constructs a new RungeKuttaFehlberg

S

SAMPLE_MEAN_EVENT - Static variable in class nl.tudelft.simulation.jstats.statistics.Tally
SAMPLE_MEAN_EVENT is fired whenever the sample mean is updated
SAMPLE_VARIANCE_EVENT - Static variable in class nl.tudelft.simulation.jstats.statistics.Tally
SAMPLE_VARIANCE_EVENT is fired whenever the sample variance is updated
sampleMean - Variable in class nl.tudelft.simulation.jstats.statistics.Tally
sampleMean refers to the mean of the tally
seed - Variable in class nl.tudelft.simulation.jstats.streams.Java2Random
seed is a link to the seed value.
seed - Variable in class nl.tudelft.simulation.jstats.streams.RandomNumberGenerator
the seed of the generator
semaphore - Variable in class nl.tudelft.simulation.jstats.statistics.Tally
the semaphore
series - Variable in class nl.tudelft.simulation.jstats.charts.histogram.HistogramDataset
series the series in this set
setConfidenceInterval(double) - Method in class nl.tudelft.simulation.jstats.charts.boxAndWhisker.BoxAndWhiskerChart
sets the confidence interval of the plot.
setConfidenceInterval(double) - Method in class nl.tudelft.simulation.jstats.charts.boxAndWhisker.BoxAndWhiskerPlot
sets the confidence interval of the plot.
setFilter(Filterinterface) - Method in class nl.tudelft.simulation.jstats.charts.xy.XYChart
applies a filter on the chart
setFilter(Filterinterface) - Method in class nl.tudelft.simulation.jstats.charts.xy.XYDataset
applies a filter on the chart
setFilter(Filterinterface) - Method in class nl.tudelft.simulation.jstats.charts.xy.XYSeries
applies a filter on the chart
setFilter(Filterinterface) - Method in class nl.tudelft.simulation.jstats.statistics.Tally
sets the Filter on this tally
setIntegrator(NumericalIntegrator) - Method in class nl.tudelft.simulation.jstats.ode.DifferentialEquation
 
setMax(double) - Method in class nl.tudelft.simulation.jstats.statistics.Tally
sets max
setMin(double) - Method in class nl.tudelft.simulation.jstats.statistics.Tally
sets min
setN(long) - Method in class nl.tudelft.simulation.jstats.statistics.Tally
sets n
setSampleMean(double) - Method in class nl.tudelft.simulation.jstats.statistics.Tally
sets sampleMean
setSeed(long) - Method in class nl.tudelft.simulation.jstats.streams.DX120Generator
 
setSeed(long) - Method in class nl.tudelft.simulation.jstats.streams.Java2Random
 
setSeed(long) - Method in class nl.tudelft.simulation.jstats.streams.MersenneTwister
 
setSeed(long) - Method in class nl.tudelft.simulation.jstats.streams.RandomNumberGenerator
 
setSeed(long) - Method in interface nl.tudelft.simulation.jstats.streams.StreamInterface
sets the seed of the generator
setSum(double) - Method in class nl.tudelft.simulation.jstats.statistics.Tally
sets the count
setTimeStep(double) - Method in class nl.tudelft.simulation.jstats.ode.integrators.CachingNumericalIntegrator
 
setTimeStep(double) - Method in class nl.tudelft.simulation.jstats.ode.integrators.NumericalIntegrator
 
sigma - Variable in class nl.tudelft.simulation.jstats.distributions.DistNormal
mu refers to the mean of the normal distribution
size() - Method in class nl.tudelft.simulation.jstats.distributions.empirical.Observations
 
size() - Method in interface nl.tudelft.simulation.jstats.distributions.empirical.ObservationsInterface
Returns the number of observation-probability mappings in this structure.
SnippetFilter - Class in nl.tudelft.simulation.jstats.filters
The modulus filter only accepts
SnippetFilter(double) - Constructor for class nl.tudelft.simulation.jstats.filters.SnippetFilter
constructs a new SnippetFilter.
STANDARD_DEVIATION_EVENT - Static variable in class nl.tudelft.simulation.jstats.statistics.Tally
STANDARD_DEVIATION_EVENT is fired whenever the standard deviation is updated
startingIntegrator - Variable in class nl.tudelft.simulation.jstats.ode.integrators.CachingNumericalIntegrator
the primer integrator
startingSubSteps - Variable in class nl.tudelft.simulation.jstats.ode.integrators.CachingNumericalIntegrator
the substeps to use when starting the integrator
StatisticsObject - Class in nl.tudelft.simulation.jstats.statistics
The StatisticsObject class defines a statistics object.
StatisticsObject() - Constructor for class nl.tudelft.simulation.jstats.statistics.StatisticsObject
constructs a new StatisticsObject
StatisticsTableModel - Class in nl.tudelft.simulation.jstats.statistics
The StatisticsTableModel class defines the tableModel used by the statistics objects.
StatisticsTableModel(Object[], EventType[], int) - Constructor for class nl.tudelft.simulation.jstats.statistics.StatisticsTableModel
constructs a new StatisticsTableModel
stream - Variable in class nl.tudelft.simulation.jstats.distributions.Dist
stream is the random number generator from which to draw
StreamInterface - Interface in nl.tudelft.simulation.jstats.streams
The StreamInterface defines the streams to be used within the JSTATS package.
sum - Variable in class nl.tudelft.simulation.jstats.statistics.Tally
sum refers to the sum of the tally
SUM_EVENT - Static variable in class nl.tudelft.simulation.jstats.statistics.Tally
SUM_EVENT is fired whenever the sum sis updated
Swingable - Interface in nl.tudelft.simulation.jstats
An interface implemented by all charts and statistics objects defining their capability to present themselves as Swing component.

T

tallies - Variable in class nl.tudelft.simulation.jstats.charts.boxAndWhisker.BoxAndWhiskerPlot
target is the tally to represent
Tally - Class in nl.tudelft.simulation.jstats.statistics
The Tally class defines a statistics event tally.
Tally(String) - Constructor for class nl.tudelft.simulation.jstats.statistics.Tally
Constructs a new Tally
timeStep - Variable in class nl.tudelft.simulation.jstats.ode.DifferentialEquation
a timeStep
timeStep - Variable in class nl.tudelft.simulation.jstats.ode.integrators.NumericalIntegrator
the timeStep to use
TITLE_FONT - Static variable in class nl.tudelft.simulation.jstats.charts.boxAndWhisker.BoxAndWhiskerChart
TITLE_FONT refers to the font to be used for the title of the plot
TITLE_FONT - Static variable in class nl.tudelft.simulation.jstats.charts.boxAndWhisker.BoxAndWhiskerPlot
TITLE_FONT defines the font of the plot
toString() - Method in class nl.tudelft.simulation.jstats.distributions.DistBernoulli
 
toString() - Method in class nl.tudelft.simulation.jstats.distributions.DistBeta
 
toString() - Method in class nl.tudelft.simulation.jstats.distributions.DistBinomial
 
toString() - Method in class nl.tudelft.simulation.jstats.distributions.DistConstant
 
toString() - Method in class nl.tudelft.simulation.jstats.distributions.DistDiscreteConstant
 
toString() - Method in class nl.tudelft.simulation.jstats.distributions.DistDiscreteUniform
 
toString() - Method in class nl.tudelft.simulation.jstats.distributions.DistErlang
 
toString() - Method in class nl.tudelft.simulation.jstats.distributions.DistExponential
 
toString() - Method in class nl.tudelft.simulation.jstats.distributions.DistGamma
 
toString() - Method in class nl.tudelft.simulation.jstats.distributions.DistGeometric
 
toString() - Method in class nl.tudelft.simulation.jstats.distributions.DistLogNormal
 
toString() - Method in class nl.tudelft.simulation.jstats.distributions.DistNegBinomial
 
toString() - Method in class nl.tudelft.simulation.jstats.distributions.DistNormal
 
toString() - Method in class nl.tudelft.simulation.jstats.distributions.DistPearson5
 
toString() - Method in class nl.tudelft.simulation.jstats.distributions.DistPearson6
 
toString() - Method in class nl.tudelft.simulation.jstats.distributions.DistPoisson
 
toString() - Method in class nl.tudelft.simulation.jstats.distributions.DistTriangular
 
toString() - Method in class nl.tudelft.simulation.jstats.distributions.DistUniform
 
toString() - Method in class nl.tudelft.simulation.jstats.distributions.DistWeibull
 
toString() - Method in class nl.tudelft.simulation.jstats.distributions.empirical.Observations
 
toString() - Method in class nl.tudelft.simulation.jstats.statistics.Counter
 
toString() - Method in class nl.tudelft.simulation.jstats.statistics.Tally
 
toString() - Method in class nl.tudelft.simulation.jstats.streams.RandomNumberGenerator
 

U

UPPER_RANGE_EVENT - Static variable in class nl.tudelft.simulation.jstats.charts.xy.XYSeries
UPPER_RANGE_EVENT is fired on a range change

V

VALUE_EVENT - Static variable in class nl.tudelft.simulation.jstats.statistics.Persistent
VALUE_EVENT is fired whenever on a change in measurements
valueToJava2D(double, Rectangle2D, RectangleEdge) - Method in class nl.tudelft.simulation.jstats.charts.histogram.HistogramDomainAxis
 
varianceSum - Variable in class nl.tudelft.simulation.jstats.statistics.Tally
varianceSum refers to the varianceSum of the tally

X

x0 - Variable in class nl.tudelft.simulation.jstats.ode.DifferentialEquation
the first x value to start integration
XLINEAR_YLINEAR - Static variable in class nl.tudelft.simulation.jstats.charts.xy.XYChart
x-axis is linear y-axis is linear
XLINEAR_YLOGARITHMIC - Static variable in class nl.tudelft.simulation.jstats.charts.xy.XYChart
x-axis is linear y-axis is logarithmic
XLOGARITHMIC_YLINEAR - Static variable in class nl.tudelft.simulation.jstats.charts.xy.XYChart
x-axis is logarithmic y-axis is linear
XLOGARITHMIC_YLOGARITHMIC - Static variable in class nl.tudelft.simulation.jstats.charts.xy.XYChart
x-axis is logarithmic y-axis is logarithmic
XYChart - Class in nl.tudelft.simulation.jstats.charts.xy
The xyChart specifies the xyChart in DSOL.
XYChart(String) - Constructor for class nl.tudelft.simulation.jstats.charts.xy.XYChart
constructs a new XYChart
XYChart(String, short) - Constructor for class nl.tudelft.simulation.jstats.charts.xy.XYChart
constructs a new XYChart
XYChart(String, double[]) - Constructor for class nl.tudelft.simulation.jstats.charts.xy.XYChart
constructs a new XYChart
XYChart(String, double) - Constructor for class nl.tudelft.simulation.jstats.charts.xy.XYChart
constructs a new XYChart
XYChart(String, double, short) - Constructor for class nl.tudelft.simulation.jstats.charts.xy.XYChart
constructs a new XYChart
XYChart(String, double[], short) - Constructor for class nl.tudelft.simulation.jstats.charts.xy.XYChart
constructs a new XYChart
XYChart(String, double[], double[]) - Constructor for class nl.tudelft.simulation.jstats.charts.xy.XYChart
constructs a new XYChart
XYChart(String, double, double[]) - Constructor for class nl.tudelft.simulation.jstats.charts.xy.XYChart
constructs a new XYChart
XYChart(String, double, double[], short) - Constructor for class nl.tudelft.simulation.jstats.charts.xy.XYChart
constructs a new XYChart
XYChart(String, double[], double[], short) - Constructor for class nl.tudelft.simulation.jstats.charts.xy.XYChart
constructs a new XYChart
XYDataset - Class in nl.tudelft.simulation.jstats.charts.xy
The xyDataset specifies the xyDataset in DSOL
XYDataset() - Constructor for class nl.tudelft.simulation.jstats.charts.xy.XYDataset
constructs a new XYDataset
XYSeries - Class in nl.tudelft.simulation.jstats.charts.xy
The xySerie specifies an xySerie for XY Plots in DSOL.
XYSeries(String, short, double) - Constructor for class nl.tudelft.simulation.jstats.charts.xy.XYSeries
constructs a new XYSeries.

Y

y(double) - Method in class nl.tudelft.simulation.jstats.ode.DifferentialEquation
 
y(double) - Method in interface nl.tudelft.simulation.jstats.ode.DifferentialEquationInterface
returns y as a function of x
y0 - Variable in class nl.tudelft.simulation.jstats.ode.DifferentialEquation
the initial value array

A B C D E F G H I J L M N O P R S T U V X Y

Copyright © 2002-2011 Delft University of Technology, the Netherlands. All Rights Reserved.