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

A

ADAMS - Static variable in class nl.tudelft.simulation.jstats.ode.integrators.NumericalIntegrator

Adam's integration

Adams - class nl.tudelft.simulation.jstats.ode.integrators.Adams.

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

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, .)

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

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 nl.tudelft.simulation.jstats.charts.boxAndWhisker.BoxAndWhiskerChart.

The summaryuChart specifies a summaryChart.

BoxAndWhiskerChart(String) - Constructor for class nl.tudelft.simulation.jstats.charts.boxAndWhisker.BoxAndWhiskerChart

constructs a new BoxAndWhiskerChart

BoxAndWhiskerPlot - class nl.tudelft.simulation.jstats.charts.boxAndWhisker.BoxAndWhiskerPlot.

The Summary chart class defines a summary chart.

BoxAndWhiskerPlot() - Constructor for class nl.tudelft.simulation.jstats.charts.boxAndWhisker.BoxAndWhiskerPlot

constructs a new BoxAndWhiskerPlot

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 + ...)

C

COUNT_EVENT - Static variable in class nl.tudelft.simulation.jstats.statistics.Counter

COUNT_EVENT is fired whenever setCount() is invoked

CUMULATIVE_NORMAL_PROPABILITIES - Static variable in class nl.tudelft.simulation.jstats.distributions.DistNormal

CUMULATIVE_NORMAL_PROPABILITIES represents the NORMAL DISTRIBUTION FUNCTION TABLE.

CachingNumericalIntegrator - class nl.tudelft.simulation.jstats.ode.integrators.CachingNumericalIntegrator.

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.

Counter - class nl.tudelft.simulation.jstats.statistics.Counter.

The Counter class defines a statistics event counter.

Counter(String) - Constructor for class nl.tudelft.simulation.jstats.statistics.Counter

constructs a new CounterTest

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 + ...

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

count - Variable in class nl.tudelft.simulation.jstats.statistics.Counter

count represents the value of the counter

D

DEFAULT_INTEGRATOR - Static variable in class nl.tudelft.simulation.jstats.ode.integrators.NumericalIntegrator

The default integrator

DX120Generator - class nl.tudelft.simulation.jstats.streams.DX120Generator.

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

DifferentialEquation - class nl.tudelft.simulation.jstats.ode.DifferentialEquation.

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 nl.tudelft.simulation.jstats.ode.DifferentialEquationInterface.

An interface for the DifferentialEquation.

Dist - class nl.tudelft.simulation.jstats.distributions.Dist.

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 nl.tudelft.simulation.jstats.distributions.DistBernoulli.

The Bernouilli distribution.

DistBernoulli(StreamInterface, double) - Constructor for class nl.tudelft.simulation.jstats.distributions.DistBernoulli

constructs a new Bernoulli distribution.

DistBeta - class nl.tudelft.simulation.jstats.distributions.DistBeta.

The Beta distribution.

DistBeta(StreamInterface, double, double) - Constructor for class nl.tudelft.simulation.jstats.distributions.DistBeta

constructs a new beta distribution.

DistBinomial - class nl.tudelft.simulation.jstats.distributions.DistBinomial.

The Binomial distribution.

DistBinomial(StreamInterface, long, double) - Constructor for class nl.tudelft.simulation.jstats.distributions.DistBinomial

constructs a Binomial distribution.

DistConstant - class nl.tudelft.simulation.jstats.distributions.DistConstant.

The Constant distribution.

DistConstant(StreamInterface, double) - Constructor for class nl.tudelft.simulation.jstats.distributions.DistConstant

constructs a new constant distribution

DistContinuous - class nl.tudelft.simulation.jstats.distributions.DistContinuous.

The Continuous distribution.

DistContinuous(StreamInterface) - Constructor for class nl.tudelft.simulation.jstats.distributions.DistContinuous

constructs a new continuous distribution

DistCustom - class nl.tudelft.simulation.jstats.distributions.DistCustom.

The custom distribution.

DistCustom(StreamInterface, DistCustom.Entry[]) - Constructor for class nl.tudelft.simulation.jstats.distributions.DistCustom

constructs a new DistCustom

DistCustom.Entry - class nl.tudelft.simulation.jstats.distributions.DistCustom.Entry.

A Entry for the custom distribution

DistCustom.Entry(long, double) - Constructor for class nl.tudelft.simulation.jstats.distributions.DistCustom.Entry

constructs a new Entry

DistDiscrete - class nl.tudelft.simulation.jstats.distributions.DistDiscrete.

The discrete distribution.

DistDiscrete(StreamInterface) - Constructor for class nl.tudelft.simulation.jstats.distributions.DistDiscrete

constructs a new disctete distribution

DistDiscreteConstant - class nl.tudelft.simulation.jstats.distributions.DistDiscreteConstant.

The Constant distribution.

DistDiscreteConstant(StreamInterface, long) - Constructor for class nl.tudelft.simulation.jstats.distributions.DistDiscreteConstant

creates a new discrete constant distribution

DistDiscreteUniform - class nl.tudelft.simulation.jstats.distributions.DistDiscreteUniform.

The discrete Uniform distribution.

DistDiscreteUniform(StreamInterface, long, long) - Constructor for class nl.tudelft.simulation.jstats.distributions.DistDiscreteUniform

constructs a new uniform distribution.

DistErlang - class nl.tudelft.simulation.jstats.distributions.DistErlang.

The Erlang distribution.

DistErlang(StreamInterface, int, double) - Constructor for class nl.tudelft.simulation.jstats.distributions.DistErlang

constructs a new Erlang distribution

DistExponential - class nl.tudelft.simulation.jstats.distributions.DistExponential.

The Exponential distribution.

DistExponential(StreamInterface, double) - Constructor for class nl.tudelft.simulation.jstats.distributions.DistExponential

constructs a new exponential function.

DistGamma - class nl.tudelft.simulation.jstats.distributions.DistGamma.

The Gamma distribution.

DistGamma(StreamInterface, double, double) - Constructor for class nl.tudelft.simulation.jstats.distributions.DistGamma

constructs a new gamma distribution.

DistGeometric - class nl.tudelft.simulation.jstats.distributions.DistGeometric.

The Geometric distribution.

DistGeometric(StreamInterface, double) - Constructor for class nl.tudelft.simulation.jstats.distributions.DistGeometric

constructs a new geometric distribution

DistLogNormal - class nl.tudelft.simulation.jstats.distributions.DistLogNormal.

The LogNormal distribution.

DistLogNormal(StreamInterface, double, double) - Constructor for class nl.tudelft.simulation.jstats.distributions.DistLogNormal

constructs a new logaritmic normal distribution

DistNegBinomial - class nl.tudelft.simulation.jstats.distributions.DistNegBinomial.

The NegBinomial distribution.

DistNegBinomial(StreamInterface, long, double) - Constructor for class nl.tudelft.simulation.jstats.distributions.DistNegBinomial

constructs a new negative benomial distribution

DistNormal - class nl.tudelft.simulation.jstats.distributions.DistNormal.

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 nl.tudelft.simulation.jstats.distributions.DistPearson5.

The Pearson5 distribution.

DistPearson5(StreamInterface, double, double) - Constructor for class nl.tudelft.simulation.jstats.distributions.DistPearson5

constructs a new Pearson5 distribution

DistPearson6 - class nl.tudelft.simulation.jstats.distributions.DistPearson6.

The Pearson6 distribution.

DistPearson6(StreamInterface, double, double, double) - Constructor for class nl.tudelft.simulation.jstats.distributions.DistPearson6

constructs a new Pearson5 distribution

DistPoisson - class nl.tudelft.simulation.jstats.distributions.DistPoisson.

The Poisson distribution.

DistPoisson(StreamInterface, double) - Constructor for class nl.tudelft.simulation.jstats.distributions.DistPoisson

constructs a new poisson distribution

DistTriangular - class nl.tudelft.simulation.jstats.distributions.DistTriangular.

The Triangular distribution.

DistTriangular(StreamInterface, double, double, double) - Constructor for class nl.tudelft.simulation.jstats.distributions.DistTriangular

constructs a new triangular distribution

DistUniform - class nl.tudelft.simulation.jstats.distributions.DistUniform.

The Uniform distribution.

DistUniform(StreamInterface, double, double) - Constructor for class nl.tudelft.simulation.jstats.distributions.DistUniform

constructs a new uniform distribution.

DistWeibull - class nl.tudelft.simulation.jstats.distributions.DistWeibull.

The Weibull distribution.

DistWeibull(StreamInterface, double, double) - Constructor for class nl.tudelft.simulation.jstats.distributions.DistWeibull

constructs a new Weibull distribution

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

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

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, 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.DistCustom

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.DistDiscreteUniform

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

dy(double, double[]) - Method in interface nl.tudelft.simulation.jstats.ode.DifferentialEquationInterface

returns dy as a function of x,y

E

EULER - Static variable in class nl.tudelft.simulation.jstats.ode.integrators.NumericalIntegrator

Euler's integration

Euler - class nl.tudelft.simulation.jstats.ode.integrators.Euler.

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

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

F

FONT - Static variable in class nl.tudelft.simulation.jstats.charts.boxAndWhisker.BoxAndWhiskerPlot

FONT defines the font of the plot

faculty(int) - Static method in class nl.tudelft.simulation.jstats.math.ProbMath

computes the faculty of n.

formatter - Variable in class nl.tudelft.simulation.jstats.charts.boxAndWhisker.BoxAndWhiskerPlot

formatter formats the text

G

GILL - Static variable in class nl.tudelft.simulation.jstats.ode.integrators.NumericalIntegrator

Gill's integration

Gill - class nl.tudelft.simulation.jstats.ode.integrators.Gill.

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

getBinCount() - Method in class nl.tudelft.simulation.jstats.charts.histogram.HistogramSeries

returns the number of bins in the histogram

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(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

getCumulativeProbability(double) - Method in class nl.tudelft.simulation.jstats.distributions.DistNormal

returns the cumulative probability of the x-value.

getDY(int) - Method in class nl.tudelft.simulation.jstats.ode.integrators.CachingNumericalIntegrator

get a cached dY-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

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

getError() - Method in class nl.tudelft.simulation.jstats.ode.integrators.NumericalIntegrator

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

getPlotType() - Method in class nl.tudelft.simulation.jstats.charts.boxAndWhisker.BoxAndWhiskerPlot

getProbability() - Method in class nl.tudelft.simulation.jstats.distributions.DistCustom.Entry

returns the probability

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

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 interface nl.tudelft.simulation.jstats.Swingable

represents this statisticsObject as Swing Container

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.

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

getValue() - Method in class nl.tudelft.simulation.jstats.distributions.DistCustom.Entry

returns the value

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

H

HEUN - Static variable in class nl.tudelft.simulation.jstats.ode.integrators.NumericalIntegrator

Heun's integration

Heun - class nl.tudelft.simulation.jstats.ode.integrators.Heun.

The Heun numerical estimator.

Heun(double, DifferentialEquationInterface) - Constructor for class nl.tudelft.simulation.jstats.ode.integrators.Heun

constructs a new Heun

Histogram - class nl.tudelft.simulation.jstats.charts.histogram.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 nl.tudelft.simulation.jstats.charts.histogram.HistogramDataset.

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 nl.tudelft.simulation.jstats.charts.histogram.HistogramDomainAxis.

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 nl.tudelft.simulation.jstats.charts.histogram.HistogramSeries.

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

haveNextNextGaussian - Variable in class nl.tudelft.simulation.jstats.distributions.DistNormal

haveNextNextGaussian is a helper attribute

I

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

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

Java2Random - class nl.tudelft.simulation.jstats.streams.Java2Random.

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

java2DToValue(double, Rectangle2D, RectangleEdge) - Method in class nl.tudelft.simulation.jstats.charts.histogram.HistogramDomainAxis

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

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

labels - Variable in class nl.tudelft.simulation.jstats.charts.histogram.HistogramDomainAxis

labels refers to the labels to be printed

M

MAX_EVENT - Static variable in class nl.tudelft.simulation.jstats.statistics.Tally

MAX_EVENT is fired whenever a new maximum value has reached

MILNE - Static variable in class nl.tudelft.simulation.jstats.ode.integrators.NumericalIntegrator

Milne's integration

MIN_EVENT - Static variable in class nl.tudelft.simulation.jstats.statistics.Tally

MIN_EVENT is fired whenever a new minimum value has reached

MersenneTwister - class nl.tudelft.simulation.jstats.streams.MersenneTwister.

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 nl.tudelft.simulation.jstats.ode.integrators.Milne.

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

max - Variable in class nl.tudelft.simulation.jstats.statistics.Tally

maxrefers to the max of the tally

maxLabelHeight - Variable in class nl.tudelft.simulation.jstats.charts.histogram.HistogramDomainAxis

maxLabelHeight refers to the maximum label heigth

min - Variable in class nl.tudelft.simulation.jstats.statistics.Tally

min refers to the min of the tally

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_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

NumericalIntegrator - class nl.tudelft.simulation.jstats.ode.integrators.NumericalIntegrator.

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

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

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

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.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)

P

PLOT_TYPE - Static variable in class nl.tudelft.simulation.jstats.charts.boxAndWhisker.BoxAndWhiskerPlot

PLOT_TYPE refers to the plot type

Persistent - class nl.tudelft.simulation.jstats.statistics.Persistent.

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.

ProbMath - class nl.tudelft.simulation.jstats.math.ProbMath.

The PropMath class defines some very basic probabilistic mathematical functions.

permutations(int, int) - Static method in class nl.tudelft.simulation.jstats.math.ProbMath

computes the permutations of n over m.

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.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

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.DistCustom

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.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

R

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

RUNGEKUTTA4 - Static variable in class nl.tudelft.simulation.jstats.ode.integrators.NumericalIntegrator

RungeKutta's (4th level) integration

RUNGEKUTTACASHCARP - Static variable in class nl.tudelft.simulation.jstats.ode.integrators.NumericalIntegrator

Runge-Kutta-Cash-Carp integration

RUNGEKUTTAFEHLBERG - Static variable in class nl.tudelft.simulation.jstats.ode.integrators.NumericalIntegrator

Runge-Kutta-Fehlberg integration

RandomNumberGenerator - class nl.tudelft.simulation.jstats.streams.RandomNumberGenerator.

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.

RungeKutta3 - class nl.tudelft.simulation.jstats.ode.integrators.RungeKutta3.

The RungeKutta 3 numerical integrator.

RungeKutta3(double, DifferentialEquationInterface) - Constructor for class nl.tudelft.simulation.jstats.ode.integrators.RungeKutta3

constructs a new RungeKutta3

RungeKutta4 - class nl.tudelft.simulation.jstats.ode.integrators.RungeKutta4.

The RungeKutta4 numerical integrator.

RungeKutta4(double, DifferentialEquationInterface) - Constructor for class nl.tudelft.simulation.jstats.ode.integrators.RungeKutta4

constructs a new RungeKutta4

RungeKuttaCashCarp - class nl.tudelft.simulation.jstats.ode.integrators.RungeKuttaCashCarp.

The RungeKuttaCashCarp.java numerical integrator.

RungeKuttaCashCarp(double, DifferentialEquationInterface) - Constructor for class nl.tudelft.simulation.jstats.ode.integrators.RungeKuttaCashCarp

constructs a new RungeKuttaCashCarp

RungeKuttaFehlberg - class nl.tudelft.simulation.jstats.ode.integrators.RungeKuttaFehlberg.

The RungeKuttaFehlberg.java numerical integrator.

RungeKuttaFehlberg(double, DifferentialEquationInterface) - Constructor for class nl.tudelft.simulation.jstats.ode.integrators.RungeKuttaFehlberg

constructs a new RungeKuttaFehlberg

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

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

STANDARD_DEVIATION_EVENT - Static variable in class nl.tudelft.simulation.jstats.statistics.Tally

STANDARD_DEVIATION_EVENT is fired whenever the standard deviation is updated

SUM_EVENT - Static variable in class nl.tudelft.simulation.jstats.statistics.Tally

SUM_EVENT is fired whenever the sum sis updated

StatisticsObject - class nl.tudelft.simulation.jstats.statistics.StatisticsObject.

The StatisticsObject class defines a statistics object.

StatisticsObject() - Constructor for class nl.tudelft.simulation.jstats.statistics.StatisticsObject

constructs a new StatisticsObject

StatisticsTableModel - class nl.tudelft.simulation.jstats.statistics.StatisticsTableModel.

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

StreamInterface - interface nl.tudelft.simulation.jstats.streams.StreamInterface.

The StreamInterface defines the streams to be used within the JSTATS package.

Swingable - interface nl.tudelft.simulation.jstats.Swingable.

An interface implemented by all charts and statistics objects defining their capability to present themselves as Swing component.

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

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

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

stream - Variable in class nl.tudelft.simulation.jstats.distributions.Dist

stream is the random number generator from which to draw

sum - Variable in class nl.tudelft.simulation.jstats.statistics.Tally

sum refers to the sum of the tally

T

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

Tally - class nl.tudelft.simulation.jstats.statistics.Tally.

The Tally class defines a statistics event tally.

Tally(String) - Constructor for class nl.tudelft.simulation.jstats.statistics.Tally

Constructs a new Tally

tallies - Variable in class nl.tudelft.simulation.jstats.charts.boxAndWhisker.BoxAndWhiskerPlot

target is the tally to represent

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

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.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

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 nl.tudelft.simulation.jstats.charts.xy.XYChart.

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[], 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[], short) - Constructor for class nl.tudelft.simulation.jstats.charts.xy.XYChart

constructs a new XYChart

XYDataset - class nl.tudelft.simulation.jstats.charts.xy.XYDataset.

The xyDataset specifies the xyDataset in DSOL

XYDataset() - Constructor for class nl.tudelft.simulation.jstats.charts.xy.XYDataset

constructs a new XYDataset

XYSeries - class nl.tudelft.simulation.jstats.charts.xy.XYSeries.

The xySerie specifies an xySerie for XY Plots in DSOL.

XYSeries(String, short) - Constructor for class nl.tudelft.simulation.jstats.charts.xy.XYSeries

constructs a new XYSeries.

x0 - Variable in class nl.tudelft.simulation.jstats.ode.DifferentialEquation

the first x value to start integration

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 P R S T U V X Y