- 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
-
- 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
- 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.
- 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
- 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
-
- 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
- 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
-
- 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 - 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
- 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
- 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.