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

A

AbstractContinuousDistribution - class org.apache.commons.math.distribution.AbstractContinuousDistribution.
Base class for various continuous distributions.
AbstractContinuousDistribution() - Constructor for class org.apache.commons.math.distribution.AbstractContinuousDistribution
Default constructor.
AbstractDescriptiveStatistics - class org.apache.commons.math.stat.AbstractDescriptiveStatistics.
Provides univariate measures for an array of doubles.
AbstractDescriptiveStatistics() - Constructor for class org.apache.commons.math.stat.AbstractDescriptiveStatistics
Create an AbstractDescriptiveStatistics
AbstractDescriptiveStatistics(int) - Constructor for class org.apache.commons.math.stat.AbstractDescriptiveStatistics
Create an AbstractDescriptiveStatistics with a specific Window
AbstractDiscreteDistribution - class org.apache.commons.math.distribution.AbstractDiscreteDistribution.
Base class for various discrete distributions.
AbstractDiscreteDistribution() - Constructor for class org.apache.commons.math.distribution.AbstractDiscreteDistribution
Default constructor.
AbstractStorelessDescriptiveStatistics - class org.apache.commons.math.stat.AbstractStorelessDescriptiveStatistics.
Provides univariate measures for an array of doubles.
AbstractStorelessDescriptiveStatistics() - Constructor for class org.apache.commons.math.stat.AbstractStorelessDescriptiveStatistics
Construct an AbstractStorelessDescriptiveStatistics
AbstractStorelessDescriptiveStatistics(int) - Constructor for class org.apache.commons.math.stat.AbstractStorelessDescriptiveStatistics
Construct an AbstractStorelessDescriptiveStatistics with a window
AbstractStorelessUnivariateStatistic - class org.apache.commons.math.stat.univariate.AbstractStorelessUnivariateStatistic.
Abstract Implementation for StorelessUnivariateStatistics.
AbstractStorelessUnivariateStatistic() - Constructor for class org.apache.commons.math.stat.univariate.AbstractStorelessUnivariateStatistic
 
AbstractUnivariateStatistic - class org.apache.commons.math.stat.univariate.AbstractUnivariateStatistic.
Abstract Implementation for UnivariateStatistics.
AbstractUnivariateStatistic() - Constructor for class org.apache.commons.math.stat.univariate.AbstractUnivariateStatistic
 
abs() - Method in class org.apache.commons.math.complex.Complex
Return the absolute value of this complex number.
absoluteAccuracy - Variable in class org.apache.commons.math.analysis.UnivariateRealSolverImpl
Maximum absolute error.
acos(Complex) - Static method in class org.apache.commons.math.complex.ComplexMath
 
add(Complex) - Method in class org.apache.commons.math.complex.Complex
Return the sum of this complex number and the given complex number.
add(RealMatrix) - Method in interface org.apache.commons.math.linear.RealMatrix
Compute the sum of this and m.
add(RealMatrix) - Method in class org.apache.commons.math.linear.RealMatrixImpl
Compute the sum of this and m.
addData(double, double) - Method in class org.apache.commons.math.stat.BivariateRegression
Adds the observation (x,y) to the regression data set.
addData(double[][]) - Method in class org.apache.commons.math.stat.BivariateRegression
Adds the observations represented by the elements in data.
addElement(double) - Method in class org.apache.commons.math.util.ContractableDoubleArray
Adds an element to the end of this expandable array
addElement(double) - Method in interface org.apache.commons.math.util.DoubleArray
Adds an element to the end of this expandable array
addElement(double) - Method in class org.apache.commons.math.util.ExpandableDoubleArray
Adds an element to the end of this expandable array
addElement(double) - Method in class org.apache.commons.math.util.FixedDoubleArray
Add an element to the current array, testing to see if this array has already met or exceeded the maximum number of elements
addElementRolling(double) - Method in class org.apache.commons.math.util.ContractableDoubleArray
Adds an element to the end of this expandable array and discards a value from the front of the array.
addElementRolling(double) - Method in interface org.apache.commons.math.util.DoubleArray
Adds an element and moves the window of elements up one.
addElementRolling(double) - Method in class org.apache.commons.math.util.ExpandableDoubleArray
Adds an element and moves the window of elements up one.
addElementRolling(double) - Method in class org.apache.commons.math.util.FixedDoubleArray
Adds an element by "rolling" the new value into the current array while discarding the element which was added maxElement add operations ago.
addValue(double) - Method in class org.apache.commons.math.stat.AbstractDescriptiveStatistics
 
addValue(double) - Method in class org.apache.commons.math.stat.AbstractStorelessDescriptiveStatistics
If windowSize is set to Infinite, statistics are calculated using the following recursive strategy .
addValue(double) - Method in class org.apache.commons.math.stat.DescriptiveStatistics
Adds the value to the set of numbers
addValue(double) - Method in class org.apache.commons.math.stat.DescriptiveStatisticsImpl
 
addValue(String) - Method in class org.apache.commons.math.stat.Frequency
Adds 1 to the frequency count for v
addValue(int) - Method in class org.apache.commons.math.stat.Frequency
Adds 1 to the frequency count for v
addValue(long) - Method in class org.apache.commons.math.stat.Frequency
Adds 1 to the frequency count for v.
addValue(double) - Method in class org.apache.commons.math.stat.StorelessDescriptiveStatisticsImpl
If windowSize is set to Infinite, moments are calculated using the following recursive strategy .
apply(UnivariateStatistic) - Method in class org.apache.commons.math.stat.AbstractStorelessDescriptiveStatistics
Apply the given statistic to this univariate collection.
apply(UnivariateStatistic) - Method in class org.apache.commons.math.stat.DescriptiveStatisticsImpl
Apply the given statistic to this univariate collection.
apply(UnivariateStatistic) - Method in class org.apache.commons.math.stat.StorelessDescriptiveStatisticsImpl
Apply the given statistic to this univariate collection.
asin(Complex) - Static method in class org.apache.commons.math.complex.ComplexMath
 
atan(Complex) - Static method in class org.apache.commons.math.complex.ComplexMath
 

B

Beta - class org.apache.commons.math.special.Beta.
This is a utility class that provides computation methods related to the Beta family of functions.
BinomialDistribution - interface org.apache.commons.math.distribution.BinomialDistribution.
The Binomial Distribution.
BinomialDistributionImpl - class org.apache.commons.math.distribution.BinomialDistributionImpl.
The default implementation of BinomialDistribution.
BinomialDistributionImpl(int, double) - Constructor for class org.apache.commons.math.distribution.BinomialDistributionImpl
Create a binomial distribution with the given number of trials and probability of success.
BisectionSolver - class org.apache.commons.math.analysis.BisectionSolver.
Provide the bisection algorithm for solving for zeros of real univariate functions.
BisectionSolver(UnivariateRealFunction) - Constructor for class org.apache.commons.math.analysis.BisectionSolver
Construct a solver for the given function.
BivariateRegression - class org.apache.commons.math.stat.BivariateRegression.
Estimates an ordinary least squares regression model with one independent variable.
BivariateRegression() - Constructor for class org.apache.commons.math.stat.BivariateRegression
 
BrentSolver - class org.apache.commons.math.analysis.BrentSolver.
Provide the Brent algorithm for solving for zeros of real univariate functions.
BrentSolver(UnivariateRealFunction) - Constructor for class org.apache.commons.math.analysis.BrentSolver
Construct a solver for the given function.
binomialCoefficient(int, int) - Static method in class org.apache.commons.math.util.MathUtils
Returns an exact representation of the Binomial Coefficient, "n choose k", the number of k-element subsets that can be selected from an n-element set.
binomialCoefficientDouble(int, int) - Static method in class org.apache.commons.math.util.MathUtils
Returns a double representation of the Binomial Coefficient, "n choose k", the number of k-element subsets that can be selected from an n-element set.
binomialCoefficientLog(int, int) - Static method in class org.apache.commons.math.util.MathUtils
Returns the natural log of the Binomial Coefficient, "n choose k", the number of k-element subsets that can be selected from an n-element set.
bracket(UnivariateRealFunction, double, double, double) - Static method in class org.apache.commons.math.analysis.UnivariateRealSolverUtils
For a function, f, this method returns two values, a and b that bracket a root of f.
bracket(UnivariateRealFunction, double, double, double, int) - Static method in class org.apache.commons.math.analysis.UnivariateRealSolverUtils
For a function, f, this method returns two values, a and b that bracket a root of f.

C

CONSTANT_MODE - Static variable in class org.apache.commons.math.random.ValueServer
Always return mu
ChiSquaredDistribution - interface org.apache.commons.math.distribution.ChiSquaredDistribution.
The Chi-Squared Distribution.
ChiSquaredDistributionImpl - class org.apache.commons.math.distribution.ChiSquaredDistributionImpl.
The default implementation of ChiSquaredDistribution
ChiSquaredDistributionImpl(double) - Constructor for class org.apache.commons.math.distribution.ChiSquaredDistributionImpl
Create a Chi-Squared distribution with the given degrees of freedom.
Complex - class org.apache.commons.math.complex.Complex.
Reference: http://myweb.lmu.edu/dmsmith/ZMLIB.pdf
Complex(double, double) - Constructor for class org.apache.commons.math.complex.Complex
Create a complex number given the real and imaginary parts.
ComplexMath - class org.apache.commons.math.complex.ComplexMath.
Reference: http://myweb.lmu.edu/dmsmith/ZMLIB.pdf
ContinuedFraction - class org.apache.commons.math.util.ContinuedFraction.
Provides a generic means to evaluate continued fractions.
ContinuedFraction() - Constructor for class org.apache.commons.math.util.ContinuedFraction
Default constructor.
ContinuousDistribution - interface org.apache.commons.math.distribution.ContinuousDistribution.
Base interface for various continuous distributions.
ContractableDoubleArray - class org.apache.commons.math.util.ContractableDoubleArray.
A variable length double array implementation and extension of ExpandableDoubleArray which automatically handles expanding and contracting double arrays.
ContractableDoubleArray() - Constructor for class org.apache.commons.math.util.ContractableDoubleArray
Create an expandable double array with the default initial capacity of 16, an expansion factor of 2.00, and a contractionCriteria of 2.5
ContractableDoubleArray(int) - Constructor for class org.apache.commons.math.util.ContractableDoubleArray
Create an expandable double array with the specified initial capacity, the defult expansion factor of 2.00, and a contractionCriteria of 2.5
ContractableDoubleArray(int, float) - Constructor for class org.apache.commons.math.util.ContractableDoubleArray
Create an expandable double array with the specificed initial capacity and expand factor, with a contractionCriteria of 2.5
ContractableDoubleArray(int, float, float) - Constructor for class org.apache.commons.math.util.ContractableDoubleArray
Create an expandable double array with the specificed initial capacity, expand factor, and contractionCriteria
ConvergenceException - exception org.apache.commons.math.ConvergenceException.
Error thrown when a numerical computation can not be performed because the numerical result failed to converge to a finite value.
ConvergenceException() - Constructor for class org.apache.commons.math.ConvergenceException
Default constructor.
ConvergenceException(String) - Constructor for class org.apache.commons.math.ConvergenceException
Construct an exception with the given message.
ConvergenceException(String, Throwable) - Constructor for class org.apache.commons.math.ConvergenceException
Construct an exception with the given message and root cause.
ConvergenceException(Throwable) - Constructor for class org.apache.commons.math.ConvergenceException
Create an exception with a given root cause.
CubicSplineFunction - class org.apache.commons.math.analysis.CubicSplineFunction.
Represents a cubic spline function.
CubicSplineFunction(double[], double[][]) - Constructor for class org.apache.commons.math.analysis.CubicSplineFunction
Construct a function with the given segment delimiters and polynomial coefficients.
checkContractExpand(float, float) - Method in class org.apache.commons.math.util.ContractableDoubleArray
Checks the expansion factor and the contraction criteria and throws an IllegalArgumentException if the contractionCriteria is less than the expansionCriteria
chiSquare(double[], double[]) - Method in interface org.apache.commons.math.stat.TestStatistic
Computes the Chi-Square statistic comparing observed and expected freqeuncy counts.
chiSquare(double[], double[]) - Method in class org.apache.commons.math.stat.TestStatisticImpl
 
chiSquareTest(double[], double[]) - Method in interface org.apache.commons.math.stat.TestStatistic
Returns the observed significance level, or p-value, associated with a Chi-square goodness of fit test comparing the observed frequency counts to those in the expected array.
chiSquareTest(double[], double[], double) - Method in interface org.apache.commons.math.stat.TestStatistic
Performs a Chi-square goodness of fit test evaluating the null hypothesis that the observed counts conform to the frequency distribution described by the expected counts, with significance level alpha.
chiSquareTest(double[], double[]) - Method in class org.apache.commons.math.stat.TestStatisticImpl
 
chiSquareTest(double[], double[], double) - Method in class org.apache.commons.math.stat.TestStatisticImpl
 
classes() - Method in class org.apache.commons.math.util.TransformerMap
Returns the Set of Classes used as keys in the map.
clear() - Method in class org.apache.commons.math.stat.AbstractStorelessDescriptiveStatistics
 
clear() - Method in class org.apache.commons.math.stat.BivariateRegression
Clears all data from the model.
clear() - Method in class org.apache.commons.math.stat.DescriptiveStatistics
Resets all statistics and storage
clear() - Method in class org.apache.commons.math.stat.DescriptiveStatisticsImpl
 
clear() - Method in class org.apache.commons.math.stat.Frequency
Clears the frequency table
clear() - Method in class org.apache.commons.math.stat.StorelessDescriptiveStatisticsImpl
 
clear() - Method in class org.apache.commons.math.stat.univariate.AbstractStorelessUnivariateStatistic
 
clear() - Method in interface org.apache.commons.math.stat.univariate.StorelessUnivariateStatistic
Clears all the internal state of the Statistic
clear() - Method in class org.apache.commons.math.stat.univariate.moment.FirstMoment
 
clear() - Method in class org.apache.commons.math.stat.univariate.moment.FourthMoment
 
clear() - Method in class org.apache.commons.math.stat.univariate.moment.GeometricMean
 
clear() - Method in class org.apache.commons.math.stat.univariate.moment.Kurtosis
 
clear() - Method in class org.apache.commons.math.stat.univariate.moment.Mean
 
clear() - Method in class org.apache.commons.math.stat.univariate.moment.SecondMoment
 
clear() - Method in class org.apache.commons.math.stat.univariate.moment.Skewness
 
clear() - Method in class org.apache.commons.math.stat.univariate.moment.StandardDeviation
 
clear() - Method in class org.apache.commons.math.stat.univariate.moment.ThirdMoment
 
clear() - Method in class org.apache.commons.math.stat.univariate.moment.Variance
 
clear() - Method in class org.apache.commons.math.stat.univariate.rank.Max
 
clear() - Method in class org.apache.commons.math.stat.univariate.rank.Min
 
clear() - Method in class org.apache.commons.math.stat.univariate.summary.Product
 
clear() - Method in class org.apache.commons.math.stat.univariate.summary.Sum
 
clear() - Method in class org.apache.commons.math.stat.univariate.summary.SumOfLogs
 
clear() - Method in class org.apache.commons.math.stat.univariate.summary.SumOfSquares
 
clear() - Method in interface org.apache.commons.math.util.DoubleArray
Clear the double array
clear() - Method in class org.apache.commons.math.util.ExpandableDoubleArray
Clear the array, reset the size to the initialCapacity and the number of elements to zero.
clear() - Method in class org.apache.commons.math.util.FixedDoubleArray
Clear the array - drop all the data and start with a blank internal array.
clear() - Method in class org.apache.commons.math.util.TransformerMap
Clears all the Class to Transformer mappings.
clearResult() - Method in class org.apache.commons.math.analysis.UnivariateRealSolverImpl
Convenience function for implementations.
closeReplayFile() - Method in class org.apache.commons.math.random.ValueServer
Closes valuesFileURL after use in REPLAY_MODE.
computeDistribution() - Method in class org.apache.commons.math.random.ValueServer
Computes the empirical distribution using values from the file in valuesFileURL, using the default number of bins.
computeDistribution(int) - Method in class org.apache.commons.math.random.ValueServer
Computes the empirical distribution using values from the file in valuesFileURL and binCount bins.
conjugate() - Method in class org.apache.commons.math.complex.Complex
Return the conjugate of this complex number.
containsClass(Class) - Method in class org.apache.commons.math.util.TransformerMap
Tests if a Class is present in the TransformerMap.
containsTransformer(NumberTransformer) - Method in class org.apache.commons.math.util.TransformerMap
Tests if a NumberTransformer is present in the TransformerMap.
contract() - Method in class org.apache.commons.math.util.ContractableDoubleArray
Contracts the storage array to the (size of the element set) + 1 - to avoid a zero length array.
copy() - Method in interface org.apache.commons.math.linear.RealMatrix
Returns a (deep) copy of this.
copy() - Method in class org.apache.commons.math.linear.RealMatrixImpl
Create a new RealMatrix which is a copy of this.
cos(Complex) - Static method in class org.apache.commons.math.complex.ComplexMath
 
cosh(Complex) - Static method in class org.apache.commons.math.complex.ComplexMath
 
cosh(double) - Static method in class org.apache.commons.math.util.MathUtils
 
createBinomialDistribution(int, double) - Method in class org.apache.commons.math.distribution.DistributionFactory
Create a binomial distribution with the given number of trials and probability of success.
createBinomialDistribution(int, double) - Method in class org.apache.commons.math.distribution.DistributionFactoryImpl
Create a binomial distribution with the given number of trials and probability of success.
createChiSquareDistribution(double) - Method in class org.apache.commons.math.distribution.DistributionFactory
Create a new chi-square distribution with the given degrees of freedom.
createChiSquareDistribution(double) - Method in class org.apache.commons.math.distribution.DistributionFactoryImpl
Create a new chi-square distribution with the given degrees of freedom.
createExponentialDistribution(double) - Method in class org.apache.commons.math.distribution.DistributionFactory
Create a new exponential distribution with the given degrees of freedom.
createExponentialDistribution(double) - Method in class org.apache.commons.math.distribution.DistributionFactoryImpl
Create a new exponential distribution with the given degrees of freedom.
createFDistribution(double, double) - Method in class org.apache.commons.math.distribution.DistributionFactory
Create a new F-distribution with the given degrees of freedom.
createFDistribution(double, double) - Method in class org.apache.commons.math.distribution.DistributionFactoryImpl
Create a new F-distribution with the given degrees of freedom.
createGammaDistribution(double, double) - Method in class org.apache.commons.math.distribution.DistributionFactory
Create a new gamma distribution with the given alpha and beta values.
createGammaDistribution(double, double) - Method in class org.apache.commons.math.distribution.DistributionFactoryImpl
Create a new gamma distribution the given alpha and beta values.
createHypergeometricDistribution(int, int, int) - Method in class org.apache.commons.math.distribution.DistributionFactory
Create a new hypergeometric distribution with the given the population size, the number of successes in the population, and the sample size.
createHypergeometricDistribution(int, int, int) - Method in class org.apache.commons.math.distribution.DistributionFactoryImpl
Create a new hypergeometric distribution with the given the population size, the number of successes in the population, and the sample size.
createTDistribution(double) - Method in class org.apache.commons.math.distribution.DistributionFactory
Create a new t distribution with the given degrees of freedom.
createTDistribution(double) - Method in class org.apache.commons.math.distribution.DistributionFactoryImpl
Create a new t distribution with the given degrees of freedom.
cummulativeProbability(double, double) - Method in class org.apache.commons.math.distribution.AbstractContinuousDistribution
For this distribution, X, this method returns P(x0 < X < x1).
cummulativeProbability(int, int) - Method in class org.apache.commons.math.distribution.AbstractDiscreteDistribution
For this disbution, X, this method returns P(x0 ≤ X ≤ x1).
cummulativeProbability(int) - Method in class org.apache.commons.math.distribution.BinomialDistributionImpl
For this disbution, X, this method returns P(X ≤ x).
cummulativeProbability(double) - Method in class org.apache.commons.math.distribution.ChiSquaredDistributionImpl
For this disbution, X, this method returns P(X < x).
cummulativeProbability(double) - Method in interface org.apache.commons.math.distribution.ContinuousDistribution
For this disbution, X, this method returns P(X < x).
cummulativeProbability(double, double) - Method in interface org.apache.commons.math.distribution.ContinuousDistribution
For this disbution, X, this method returns P(x0 < X < x1).
cummulativeProbability(int) - Method in interface org.apache.commons.math.distribution.DiscreteDistribution
For this disbution, X, this method returns P(X ≤ x).
cummulativeProbability(int, int) - Method in interface org.apache.commons.math.distribution.DiscreteDistribution
For this disbution, X, this method returns P(x0 ≤ X ≤ x1).
cummulativeProbability(double) - Method in class org.apache.commons.math.distribution.ExponentialDistributionImpl
For this disbution, X, this method returns P(X < x).
cummulativeProbability(double, double) - Method in class org.apache.commons.math.distribution.ExponentialDistributionImpl
For this disbution, X, this method returns P(x0 < X < x1).
cummulativeProbability(double) - Method in class org.apache.commons.math.distribution.FDistributionImpl
For this disbution, X, this method returns P(X < x).
cummulativeProbability(double) - Method in class org.apache.commons.math.distribution.GammaDistributionImpl
For this disbution, X, this method returns P(X < x).
cummulativeProbability(int) - Method in class org.apache.commons.math.distribution.HypergeometricDistributionImpl
For this disbution, X, this method returns P(X ≤ x).
cummulativeProbability(double) - Method in class org.apache.commons.math.distribution.TDistributionImpl
For this disbution, X, this method returns P(X < x).

D

DIGEST_MODE - Static variable in class org.apache.commons.math.random.ValueServer
Use empirical distribution
DefaultTransformer - class org.apache.commons.math.util.DefaultTransformer.
A Default NumberTransformer for java.lang.Numbers and Numeric Strings.
DefaultTransformer() - Constructor for class org.apache.commons.math.util.DefaultTransformer
 
DescriptiveStatistics - class org.apache.commons.math.stat.DescriptiveStatistics.
DescriptiveStatistics implements the Univariate interface but maintains the set of values which contribute to the values being returned.
DescriptiveStatistics() - Constructor for class org.apache.commons.math.stat.DescriptiveStatistics
 
DescriptiveStatisticsImpl - class org.apache.commons.math.stat.DescriptiveStatisticsImpl.
 
DescriptiveStatisticsImpl() - Constructor for class org.apache.commons.math.stat.DescriptiveStatisticsImpl
Construct a DescriptiveStatisticsImpl
DiscreteDistribution - interface org.apache.commons.math.distribution.DiscreteDistribution.
Base interface for various discrete distributions.
DistributionFactory - class org.apache.commons.math.distribution.DistributionFactory.
This factory provids the means to create common statistical distributions.
DistributionFactory() - Constructor for class org.apache.commons.math.distribution.DistributionFactory
Default constructor.
DistributionFactoryImpl - class org.apache.commons.math.distribution.DistributionFactoryImpl.
A concrete distribution factory.
DistributionFactoryImpl() - Constructor for class org.apache.commons.math.distribution.DistributionFactoryImpl
Default constructor.
DoubleArray - interface org.apache.commons.math.util.DoubleArray.
Provides a single interface for dealing with various flavors of double arrays.
defaultAbsoluteAccuracy - Variable in class org.apache.commons.math.analysis.UnivariateRealSolverImpl
Default maximum absolute error.
defaultFunctionValueAccuracy - Variable in class org.apache.commons.math.analysis.UnivariateRealSolverImpl
Default maximum error of function.
defaultMaximalIterationCount - Variable in class org.apache.commons.math.analysis.UnivariateRealSolverImpl
Default maximum number of iterations.
defaultRelativeAccuracy - Variable in class org.apache.commons.math.analysis.UnivariateRealSolverImpl
Default maximum relative error.
dev - Variable in class org.apache.commons.math.stat.univariate.moment.FirstMoment
temporary internal state made available for higher order moments
discardFrontElements(int) - Method in class org.apache.commons.math.util.ContractableDoubleArray
 
discardFrontElements(int) - Method in class org.apache.commons.math.util.ExpandableDoubleArray
Discards values from the front of the list.
divide(Complex) - Method in class org.apache.commons.math.complex.Complex
Return the quotient of this complex number and the given complex number.

E

EXPONENTIAL_MODE - Static variable in class org.apache.commons.math.random.ValueServer
Exponential random deviates with mean = mu
EmpiricalDistribution - interface org.apache.commons.math.random.EmpiricalDistribution.
Represents an empirical probability distribution -- a probability distribution derived from observed data without making any assumptions about the functional form of the population distribution that the data come from.
EmpiricalDistributionImpl - class org.apache.commons.math.random.EmpiricalDistributionImpl.
Implements EmpiricalDistribution interface.
EmpiricalDistributionImpl() - Constructor for class org.apache.commons.math.random.EmpiricalDistributionImpl
Creates a new EmpiricalDistribution with the default bin count
EmpiricalDistributionImpl(int) - Constructor for class org.apache.commons.math.random.EmpiricalDistributionImpl
Creates a new EmpiricalDistribution with the specified bin count
ExpandableDoubleArray - class org.apache.commons.math.util.ExpandableDoubleArray.
A DoubleArray implementation which automatically expands an internal double array to handle an array of arbitrary length.
ExpandableDoubleArray() - Constructor for class org.apache.commons.math.util.ExpandableDoubleArray
Create an expandable double array with the default initial capactiy of 16 and an expansion factor of 2.00
ExpandableDoubleArray(int) - Constructor for class org.apache.commons.math.util.ExpandableDoubleArray
Create an expandable double array with the specified initial capacity and the defult expansion factor of 2.00
ExpandableDoubleArray(int, float) - Constructor for class org.apache.commons.math.util.ExpandableDoubleArray
Create an expandable double array with the specificed initial capacity and expand factor.
ExponentialDistribution - interface org.apache.commons.math.distribution.ExponentialDistribution.
The Exponential Distribution.
ExponentialDistributionImpl - class org.apache.commons.math.distribution.ExponentialDistributionImpl.
The default implementation of ExponentialDistribution
ExponentialDistributionImpl(double) - Constructor for class org.apache.commons.math.distribution.ExponentialDistributionImpl
Create a exponential distribution with the given mean.
eDA - Variable in class org.apache.commons.math.stat.DescriptiveStatisticsImpl
A contractable double array is used.
equals(Object) - Method in class org.apache.commons.math.complex.Complex
 
evaluate(double[], int, int) - Method in class org.apache.commons.math.stat.univariate.AbstractStorelessUnivariateStatistic
This implements the AbstractUnivariateStatistic impl to funnel calculation off to the instantanious increment method.
evaluate(double[]) - Method in class org.apache.commons.math.stat.univariate.AbstractUnivariateStatistic
This implementation provides a simple wrapper around the double[] and passes the request onto the evaluate(DoubleArray da) method.
evaluate(double[], int, int) - Method in class org.apache.commons.math.stat.univariate.AbstractUnivariateStatistic
Subclasses of AbstractUnivariateStatistc need to implement this method.
evaluate(double[]) - Method in interface org.apache.commons.math.stat.univariate.UnivariateStatistic
Evaluates the double[] returning the result of the evaluation.
evaluate(double[], int, int) - Method in interface org.apache.commons.math.stat.univariate.UnivariateStatistic
Evaluates part of a double[] returning the result of the evaluation.
evaluate(double[], int, int) - Method in class org.apache.commons.math.stat.univariate.moment.GeometricMean
Returns the geometric mean for this collection of values
evaluate(double[], int, int) - Method in class org.apache.commons.math.stat.univariate.moment.Kurtosis
Returns the kurtosis for this collection of values.
evaluate(double[], int, int) - Method in class org.apache.commons.math.stat.univariate.moment.Mean
Returns the arithmetic mean of a double[] of the available values.
evaluate(double[], int, int) - Method in class org.apache.commons.math.stat.univariate.moment.Skewness
Returns the skewness of a collection of values.
evaluate(double[], int, int) - Method in class org.apache.commons.math.stat.univariate.moment.StandardDeviation
Returns the Standard Deviation on an array of values.
evaluate(double[], int, int) - Method in class org.apache.commons.math.stat.univariate.moment.Variance
Returns the variance of the available values.
evaluate(double[], int, int) - Method in class org.apache.commons.math.stat.univariate.rank.Max
 
evaluate(double[], int, int) - Method in class org.apache.commons.math.stat.univariate.rank.Min
 
evaluate(double[], double) - Method in class org.apache.commons.math.stat.univariate.rank.Percentile
Evaluates the double[] top the specified percentile.
evaluate(double[], int, int) - Method in class org.apache.commons.math.stat.univariate.rank.Percentile
 
evaluate(double[], int, int, double) - Method in class org.apache.commons.math.stat.univariate.rank.Percentile
Evaluates the double[] top the specified percentile.
evaluate(double[], int, int) - Method in class org.apache.commons.math.stat.univariate.summary.Product
Returns the product for this collection of values
evaluate(double[], int, int) - Method in class org.apache.commons.math.stat.univariate.summary.Sum
The sum of the values that have been added to Univariate.
evaluate(double[], int, int) - Method in class org.apache.commons.math.stat.univariate.summary.SumOfLogs
Returns the sum of the natural logs for this collection of values
evaluate(double[], int, int) - Method in class org.apache.commons.math.stat.univariate.summary.SumOfSquares
Returns the sum of the squares of the available values.
evaluate(double) - Method in class org.apache.commons.math.util.ContinuedFraction
Evaluates the continued fraction at the value x.
evaluate(double, double) - Method in class org.apache.commons.math.util.ContinuedFraction
Evaluates the continued fraction at the value x.
evaluate(double, int) - Method in class org.apache.commons.math.util.ContinuedFraction
Evaluates the continued fraction at the value x.
evaluate(double, double, int) - Method in class org.apache.commons.math.util.ContinuedFraction
Evaluates the continued fraction at the value x.
exp(Complex) - Static method in class org.apache.commons.math.complex.ComplexMath
 
expand() - Method in class org.apache.commons.math.util.ExpandableDoubleArray
Expands the internal storage array using the expansion factor
expansionFactor - Variable in class org.apache.commons.math.util.ExpandableDoubleArray
The expand factor of the array.

F

FDistribution - interface org.apache.commons.math.distribution.FDistribution.
F-Distribution.
FDistributionImpl - class org.apache.commons.math.distribution.FDistributionImpl.
Default implementation of FDistribution.
FDistributionImpl(double, double) - Constructor for class org.apache.commons.math.distribution.FDistributionImpl
Create a F distribution using the given degrees of freedom.
FirstMoment - class org.apache.commons.math.stat.univariate.moment.FirstMoment.
FirstMoment.java The FirstMoment (arithmentic mean) is calculated using the following recursive strategy .
FirstMoment() - Constructor for class org.apache.commons.math.stat.univariate.moment.FirstMoment
 
FixedDoubleArray - class org.apache.commons.math.util.FixedDoubleArray.
Provides an implementation of the DoubleArray with a maximum number of elements.
FixedDoubleArray(int) - Constructor for class org.apache.commons.math.util.FixedDoubleArray
Create a fixed array for double primitives which can hold up to maxElements doubles.
FixedDoubleArray(double[]) - Constructor for class org.apache.commons.math.util.FixedDoubleArray
Create a fixed array backed by the provided double[] implementation.
FourthMoment - class org.apache.commons.math.stat.univariate.moment.FourthMoment.
The FourthMoment is calculated using the following recursive strategy .
FourthMoment() - Constructor for class org.apache.commons.math.stat.univariate.moment.FourthMoment
 
Frequency - class org.apache.commons.math.stat.Frequency.
Maintains a frequency distribution.
Frequency() - Constructor for class org.apache.commons.math.stat.Frequency
Default constructor.
Frequency(String) - Constructor for class org.apache.commons.math.stat.Frequency
Construct a frequency distribution with the given name.
f - Variable in class org.apache.commons.math.analysis.UnivariateRealSolverImpl
The function to solve.
factorial(int) - Static method in class org.apache.commons.math.util.MathUtils
Returns n!.
factorialDouble(int) - Static method in class org.apache.commons.math.util.MathUtils
Returns n!.
factorialLog(int) - Static method in class org.apache.commons.math.util.MathUtils
Returns the natural logarithm of n!.
fill(double[]) - Method in class org.apache.commons.math.random.ValueServer
Fills the input array with values generated using getNext() repeatedly.
fill(int) - Method in class org.apache.commons.math.random.ValueServer
Returns an array of length length with values generated using getNext() repeatedly.
firstDerivative(double) - Method in class org.apache.commons.math.analysis.CubicSplineFunction
Compute the value for the first derivative of the function.
firstDerivative(double) - Method in class org.apache.commons.math.analysis.PolynomialFunction
Compute the value for the first derivative of the function.
functionValueAccuracy - Variable in class org.apache.commons.math.analysis.UnivariateRealSolverImpl
Maximum error of function.

G

GAUSSIAN_MODE - Static variable in class org.apache.commons.math.random.ValueServer
Gaussian random deviates with mean = mu, std dev = sigma
Gamma - class org.apache.commons.math.special.Gamma.
This is a utility class that provides computation methods related to the Gamma family of functions.
GammaDistribution - interface org.apache.commons.math.distribution.GammaDistribution.
The Gamma Distribution.
GammaDistributionImpl - class org.apache.commons.math.distribution.GammaDistributionImpl.
The default implementation of GammaDistribution
GammaDistributionImpl(double, double) - Constructor for class org.apache.commons.math.distribution.GammaDistributionImpl
Create a new gamma distribution with the given alpha and beta values.
GeometricMean - class org.apache.commons.math.stat.univariate.moment.GeometricMean.
Returns the geometric mean of the available values
GeometricMean() - Constructor for class org.apache.commons.math.stat.univariate.moment.GeometricMean
 
geoMean - Variable in class org.apache.commons.math.stat.AbstractStorelessDescriptiveStatistics
geoMean of values that have been added
getA(int, double) - Method in class org.apache.commons.math.util.ContinuedFraction
Access the n-th a coefficient of the continued fraction.
getAbsoluteAccuracy() - Method in interface org.apache.commons.math.analysis.UnivariateRealSolver
Get the actual absolute accuracy.
getAbsoluteAccuracy() - Method in class org.apache.commons.math.analysis.UnivariateRealSolverImpl
Get the actual absolute accuracy.
getAlpha() - Method in interface org.apache.commons.math.distribution.GammaDistribution
Access the shape parameter, alpha
getAlpha() - Method in class org.apache.commons.math.distribution.GammaDistributionImpl
Access the shape parameter, alpha
getB(int, double) - Method in class org.apache.commons.math.util.ContinuedFraction
Access the n-th b coefficient of the continued fraction.
getBeta() - Method in interface org.apache.commons.math.distribution.GammaDistribution
Access the scale parameter, beta
getBeta() - Method in class org.apache.commons.math.distribution.GammaDistributionImpl
Access the scale parameter, beta
getBinCount() - Method in interface org.apache.commons.math.random.EmpiricalDistribution
Returns the number of bins
getBinCount() - Method in class org.apache.commons.math.random.EmpiricalDistributionImpl
 
getBinStats() - Method in interface org.apache.commons.math.random.EmpiricalDistribution
Returns a list of Univariates containing statistics describing the values in each of the bins.
getBinStats() - Method in class org.apache.commons.math.random.EmpiricalDistributionImpl
 
getColumn(int) - Method in interface org.apache.commons.math.linear.RealMatrix
Returns the entries in column number col as an array.
getColumn(int) - Method in class org.apache.commons.math.linear.RealMatrixImpl
 
getColumnDimension() - Method in interface org.apache.commons.math.linear.RealMatrix
Returns the number of columns in the matrix.
getColumnDimension() - Method in class org.apache.commons.math.linear.RealMatrixImpl
 
getContractionCriteria() - Method in class org.apache.commons.math.util.ContractableDoubleArray
The contraction criteria defines when the internal array will contract to store only the number of elements in the element array.
getCount(String) - Method in class org.apache.commons.math.stat.Frequency
Returns the number of values = v
getData() - Method in interface org.apache.commons.math.linear.RealMatrix
Returns matrix entries as a two-dimensional array.
getData() - Method in class org.apache.commons.math.linear.RealMatrixImpl
Returns matrix entries as a two-dimensional array.
getDataRef() - Method in class org.apache.commons.math.linear.RealMatrixImpl
Returns a reference to the underlying data array.
getDegreesOfFreedom() - Method in interface org.apache.commons.math.distribution.ChiSquaredDistribution
Access the degrees of freedom.
getDegreesOfFreedom() - Method in class org.apache.commons.math.distribution.ChiSquaredDistributionImpl
Access the degrees of freedom.
getDegreesOfFreedom() - Method in interface org.apache.commons.math.distribution.TDistribution
Access the degrees of freedom.
getDegreesOfFreedom() - Method in class org.apache.commons.math.distribution.TDistributionImpl
Access the degrees of freedom.
getDenominatorDegreesOfFreedom() - Method in interface org.apache.commons.math.distribution.FDistribution
Access the denominator degrees of freedom.
getDenominatorDegreesOfFreedom() - Method in class org.apache.commons.math.distribution.FDistributionImpl
Access the denominator degrees of freedom.
getDeterminant() - Method in interface org.apache.commons.math.linear.RealMatrix
Returns the determinant of this matrix.
getDeterminant() - Method in class org.apache.commons.math.linear.RealMatrixImpl
 
getDomainLowerBound(double) - Method in class org.apache.commons.math.distribution.AbstractContinuousDistribution
Access the domain value lower bound, based on p, used to bracket a CDF root.
getDomainLowerBound(double) - Method in class org.apache.commons.math.distribution.AbstractDiscreteDistribution
Access the domain value lower bound, based on p, used to bracket a PDF root.
getDomainLowerBound(double) - Method in class org.apache.commons.math.distribution.BinomialDistributionImpl
Access the domain value lower bound, based on p, used to bracket a PDF root.
getDomainLowerBound(double) - Method in class org.apache.commons.math.distribution.ChiSquaredDistributionImpl
Access the domain value lower bound, based on p, used to bracket a CDF root.
getDomainLowerBound(double) - Method in class org.apache.commons.math.distribution.FDistributionImpl
Access the domain value lower bound, based on p, used to bracket a CDF root.
getDomainLowerBound(double) - Method in class org.apache.commons.math.distribution.GammaDistributionImpl
Access the domain value lower bound, based on p, used to bracket a CDF root.
getDomainLowerBound(double) - Method in class org.apache.commons.math.distribution.HypergeometricDistributionImpl
Access the domain value lower bound, based on p, used to bracket a PDF root.
getDomainLowerBound(double) - Method in class org.apache.commons.math.distribution.TDistributionImpl
Access the domain value lower bound, based on p, used to bracket a CDF root.
getDomainUpperBound(double) - Method in class org.apache.commons.math.distribution.AbstractContinuousDistribution
Access the domain value upper bound, based on p, used to bracket a CDF root.
getDomainUpperBound(double) - Method in class org.apache.commons.math.distribution.AbstractDiscreteDistribution
Access the domain value upper bound, based on p, used to bracket a PDF root.
getDomainUpperBound(double) - Method in class org.apache.commons.math.distribution.BinomialDistributionImpl
Access the domain value upper bound, based on p, used to bracket a PDF root.
getDomainUpperBound(double) - Method in class org.apache.commons.math.distribution.ChiSquaredDistributionImpl
Access the domain value upper bound, based on p, used to bracket a CDF root.
getDomainUpperBound(double) - Method in class org.apache.commons.math.distribution.FDistributionImpl
Access the domain value upper bound, based on p, used to bracket a CDF root.
getDomainUpperBound(double) - Method in class org.apache.commons.math.distribution.GammaDistributionImpl
Access the domain value upper bound, based on p, used to bracket a CDF root.
getDomainUpperBound(double) - Method in class org.apache.commons.math.distribution.HypergeometricDistributionImpl
Access the domain value upper bound, based on p, used to bracket a PDF root.
getDomainUpperBound(double) - Method in class org.apache.commons.math.distribution.TDistributionImpl
Access the domain value upper bound, based on p, used to bracket a CDF root.
getElement(int) - Method in class org.apache.commons.math.stat.AbstractDescriptiveStatistics
 
getElement(int) - Method in class org.apache.commons.math.stat.DescriptiveStatistics
Returns the element at the specified index
getElement(int) - Method in class org.apache.commons.math.stat.DescriptiveStatisticsImpl
 
getElement(int) - Method in class org.apache.commons.math.stat.StorelessDescriptiveStatisticsImpl
 
getElement(int) - Method in interface org.apache.commons.math.util.DoubleArray
Returns the element at the specified index.
getElement(int) - Method in class org.apache.commons.math.util.ExpandableDoubleArray
Returns the element at the specified index
getElement(int) - Method in class org.apache.commons.math.util.FixedDoubleArray
Returns the element value at the specified index.
getElements() - Method in interface org.apache.commons.math.util.DoubleArray
Returns a double[] of elements
getElements() - Method in class org.apache.commons.math.util.ExpandableDoubleArray
 
getElements() - Method in class org.apache.commons.math.util.FixedDoubleArray
Provides an array of double[] which contain the number of elements added to this array.
getEmpiricalDistribution() - Method in class org.apache.commons.math.random.ValueServer
Getter for property empiricalDistribution.
getEntry(int, int) - Method in interface org.apache.commons.math.linear.RealMatrix
Returns the entry in the specified row and column.
getEntry(int, int) - Method in class org.apache.commons.math.linear.RealMatrixImpl
 
getExpansionFactor() - Method in class org.apache.commons.math.util.ExpandableDoubleArray
The expansion factor controls the size of a new aray when an array needs to be expanded.
getFunctionValueAccuracy() - Method in interface org.apache.commons.math.analysis.UnivariateRealSolver
Get the actual function value accuracy.
getFunctionValueAccuracy() - Method in class org.apache.commons.math.analysis.UnivariateRealSolverImpl
Get the actual function value accuracy.
getGeometricMean() - Method in class org.apache.commons.math.stat.AbstractStorelessDescriptiveStatistics
 
getGeometricMean() - Method in class org.apache.commons.math.stat.DescriptiveStatistics
Returns the geometric mean of the available values
getIdentity(int) - Method in class org.apache.commons.math.linear.RealMatrixImpl
Returns dimension x dimension identity matrix.
getImaginary() - Method in class org.apache.commons.math.complex.Complex
Access the imaginary part.
getInitialDomain(double) - Method in class org.apache.commons.math.distribution.AbstractContinuousDistribution
Access the initial domain value, based on p, used to bracket a CDF root.
getInitialDomain(double) - Method in class org.apache.commons.math.distribution.ChiSquaredDistributionImpl
Access the initial domain value, based on p, used to bracket a CDF root.
getInitialDomain(double) - Method in class org.apache.commons.math.distribution.FDistributionImpl
Access the initial domain value, based on p, used to bracket a CDF root.
getInitialDomain(double) - Method in class org.apache.commons.math.distribution.GammaDistributionImpl
Access the initial domain value, based on p, used to bracket a CDF root.
getInitialDomain(double) - Method in class org.apache.commons.math.distribution.TDistributionImpl
Access the initial domain value, based on p, used to bracket a CDF root.
getIntercept() - Method in class org.apache.commons.math.stat.BivariateRegression
Returns the intercept of the estimated regression line.
getInterceptStdErr() - Method in class org.apache.commons.math.stat.BivariateRegression
Returns the standard error of the intercept estimate, usually denoted s(b0).
getIterationCount() - Method in interface org.apache.commons.math.analysis.UnivariateRealSolver
Get the number of iterations in the last run of the solver.
getIterationCount() - Method in class org.apache.commons.math.analysis.UnivariateRealSolverImpl
Access the last iteration count.
getKurtosis() - Method in class org.apache.commons.math.stat.AbstractStorelessDescriptiveStatistics
Returns the kurtosis of the values that have been added as described by Equation (7) for k-Statistics.
getKurtosis() - Method in class org.apache.commons.math.stat.DescriptiveStatistics
Returns the Kurtosis of the available values.
getKurtosisClass() - Method in class org.apache.commons.math.stat.AbstractStorelessDescriptiveStatistics
 
getKurtosisClass() - Method in class org.apache.commons.math.stat.DescriptiveStatistics
Returns the Kurtosis "classification" a distribution can be leptokurtic (high peak), platykurtic (flat peak), or mesokurtic (zero kurtosis).
getMax() - Method in class org.apache.commons.math.stat.AbstractStorelessDescriptiveStatistics
 
getMax() - Method in class org.apache.commons.math.stat.DescriptiveStatistics
Returns the maximum of the available values
getMaximalIterationCount() - Method in interface org.apache.commons.math.analysis.UnivariateRealSolver
Get the upper limit for the number of iterations.
getMaximalIterationCount() - Method in class org.apache.commons.math.analysis.UnivariateRealSolverImpl
Get the upper limit for the number of iterations.
getMean() - Method in interface org.apache.commons.math.distribution.ExponentialDistribution
Access the mean.
getMean() - Method in class org.apache.commons.math.distribution.ExponentialDistributionImpl
Access the mean.
getMean() - Method in class org.apache.commons.math.stat.AbstractStorelessDescriptiveStatistics
 
getMean() - Method in class org.apache.commons.math.stat.DescriptiveStatistics
Returns the arithmetic mean of the available values
getMeanSquareError() - Method in class org.apache.commons.math.stat.BivariateRegression
Returns the sum of squared errors divided by the degrees of freedom, usually abbreviated MSE.
getMin() - Method in class org.apache.commons.math.stat.AbstractStorelessDescriptiveStatistics
 
getMin() - Method in class org.apache.commons.math.stat.DescriptiveStatistics
Returns the minimum of the available values
getMode() - Method in class org.apache.commons.math.random.ValueServer
Getter for property mode.
getMu() - Method in class org.apache.commons.math.random.ValueServer
Getter for property mu.
getN() - Method in class org.apache.commons.math.stat.AbstractStorelessDescriptiveStatistics
 
getN() - Method in class org.apache.commons.math.stat.BivariateRegression
Returns the number of observations that have been added to the model.
getN() - Method in class org.apache.commons.math.stat.DescriptiveStatistics
Returns the number of available values
getN() - Method in class org.apache.commons.math.stat.DescriptiveStatisticsImpl
 
getN() - Method in interface org.apache.commons.math.stat.univariate.StorelessUnivariateStatistic
Returns the current state of the statistic after the last increment.
getN() - Method in class org.apache.commons.math.stat.univariate.moment.FirstMoment
 
getN() - Method in class org.apache.commons.math.stat.univariate.moment.Kurtosis
 
getN() - Method in class org.apache.commons.math.stat.univariate.moment.Mean
 
getN() - Method in class org.apache.commons.math.stat.univariate.moment.Skewness
 
getN() - Method in class org.apache.commons.math.stat.univariate.moment.Variance
 
getN() - Method in class org.apache.commons.math.stat.univariate.rank.Max
 
getN() - Method in class org.apache.commons.math.stat.univariate.rank.Min
 
getN() - Method in class org.apache.commons.math.stat.univariate.summary.Product
 
getN() - Method in class org.apache.commons.math.stat.univariate.summary.Sum
 
getN() - Method in class org.apache.commons.math.stat.univariate.summary.SumOfLogs
 
getN() - Method in class org.apache.commons.math.stat.univariate.summary.SumOfSquares
 
getName() - Method in class org.apache.commons.math.stat.Frequency
Getter for property name.
getNext() - Method in class org.apache.commons.math.random.ValueServer
Returns the next generated value, generated according to the mode value (see MODE constants).
getNextValue() - Method in interface org.apache.commons.math.random.EmpiricalDistribution
Generates a random value from this distribution.
getNextValue() - Method in class org.apache.commons.math.random.EmpiricalDistributionImpl
Generates a random value from this distribution
getNorm() - Method in interface org.apache.commons.math.linear.RealMatrix
Returns the maximum absolute row sum norm of the matrix.
getNorm() - Method in class org.apache.commons.math.linear.RealMatrixImpl
 
getNumElements() - Method in interface org.apache.commons.math.util.DoubleArray
Returns the number of elements currently in the array.
getNumElements() - Method in class org.apache.commons.math.util.ExpandableDoubleArray
Returns the number of elements currently in the array.
getNumElements() - Method in class org.apache.commons.math.util.FixedDoubleArray
Retrieves the current size of the array.
getNumberOfSuccesses() - Method in interface org.apache.commons.math.distribution.HypergeometricDistribution
Access the number of successes.
getNumberOfSuccesses() - Method in class org.apache.commons.math.distribution.HypergeometricDistributionImpl
Access the number of successes.
getNumberOfTrials() - Method in interface org.apache.commons.math.distribution.BinomialDistribution
Access the number of trials for this distribution.
getNumberOfTrials() - Method in class org.apache.commons.math.distribution.BinomialDistributionImpl
Access the number of trials for this distribution.
getNumeratorDegreesOfFreedom() - Method in interface org.apache.commons.math.distribution.FDistribution
Access the numerator degrees of freedom.
getNumeratorDegreesOfFreedom() - Method in class org.apache.commons.math.distribution.FDistributionImpl
Access the numerator degrees of freedom.
getPct(String) - Method in class org.apache.commons.math.stat.Frequency
Returns the percentage of values = v.
getPercentile(double) - Method in class org.apache.commons.math.stat.AbstractDescriptiveStatistics
 
getPercentile(double) - Method in class org.apache.commons.math.stat.DescriptiveStatistics
Returns an estimate for the pth percentile of the stored values.
getPercentile(double) - Method in class org.apache.commons.math.stat.StorelessDescriptiveStatisticsImpl
 
getPercentile() - Method in class org.apache.commons.math.stat.univariate.rank.Percentile
The default internal state of this percentile can be set.
getPopulationSize() - Method in interface org.apache.commons.math.distribution.HypergeometricDistribution
Access the population size.
getPopulationSize() - Method in class org.apache.commons.math.distribution.HypergeometricDistributionImpl
Access the population size.
getProbabilityOfSuccess() - Method in interface org.apache.commons.math.distribution.BinomialDistribution
Access the probability of success for this distribution.
getProbabilityOfSuccess() - Method in class org.apache.commons.math.distribution.BinomialDistributionImpl
Access the probability of success for this distribution.
getR() - Method in class org.apache.commons.math.stat.BivariateRegression
Returns Pearson's product moment correlation coefficient, usually denoted r.
getRSquare() - Method in class org.apache.commons.math.stat.BivariateRegression
Returns the coefficient of determination, usually denoted r-square.
getRank() - Method in interface org.apache.commons.math.linear.RealMatrix
Returns the rank of the matrix.
getRank() - Method in class org.apache.commons.math.linear.RealMatrixImpl
Returns the rank of the matrix.
getReal() - Method in class org.apache.commons.math.complex.Complex
Access the real part.
getRegressionSumSquares() - Method in class org.apache.commons.math.stat.BivariateRegression
Returns the sum of squared deviations of the predicted y values about their mean (which equals the mean of y).
getRelativeAccuracy() - Method in interface org.apache.commons.math.analysis.UnivariateRealSolver
Get the actual relative accuracy.
getRelativeAccuracy() - Method in class org.apache.commons.math.analysis.UnivariateRealSolverImpl
Get the actual relative accuracy.
getResult() - Method in interface org.apache.commons.math.analysis.UnivariateRealSolver
Get the result of the last run of the solver.
getResult() - Method in class org.apache.commons.math.analysis.UnivariateRealSolverImpl
Access the last computed root.
getResult() - Method in class org.apache.commons.math.stat.univariate.AbstractStorelessUnivariateStatistic
 
getResult() - Method in interface org.apache.commons.math.stat.univariate.StorelessUnivariateStatistic
Returns the current state of the statistic after the last increment.
getResult() - Method in class org.apache.commons.math.stat.univariate.moment.FirstMoment
 
getResult() - Method in class org.apache.commons.math.stat.univariate.moment.FourthMoment
 
getResult() - Method in class org.apache.commons.math.stat.univariate.moment.GeometricMean
 
getResult() - Method in class org.apache.commons.math.stat.univariate.moment.Kurtosis
 
getResult() - Method in class org.apache.commons.math.stat.univariate.moment.Mean
 
getResult() - Method in class org.apache.commons.math.stat.univariate.moment.SecondMoment
 
getResult() - Method in class org.apache.commons.math.stat.univariate.moment.Skewness
 
getResult() - Method in class org.apache.commons.math.stat.univariate.moment.StandardDeviation
 
getResult() - Method in class org.apache.commons.math.stat.univariate.moment.ThirdMoment
 
getResult() - Method in class org.apache.commons.math.stat.univariate.moment.Variance
 
getResult() - Method in class org.apache.commons.math.stat.univariate.rank.Max
 
getResult() - Method in class org.apache.commons.math.stat.univariate.rank.Min
 
getResult() - Method in class org.apache.commons.math.stat.univariate.summary.Product
 
getResult() - Method in class org.apache.commons.math.stat.univariate.summary.Sum
 
getResult() - Method in class org.apache.commons.math.stat.univariate.summary.SumOfLogs
 
getResult() - Method in class org.apache.commons.math.stat.univariate.summary.SumOfSquares
 
getRow(int) - Method in interface org.apache.commons.math.linear.RealMatrix
Returns the entries in row number row as an array.
getRow(int) - Method in class org.apache.commons.math.linear.RealMatrixImpl
 
getRowDimension() - Method in interface org.apache.commons.math.linear.RealMatrix
Returns the number of rows in the matrix.
getRowDimension() - Method in class org.apache.commons.math.linear.RealMatrixImpl
 
getSampleSize() - Method in interface org.apache.commons.math.distribution.HypergeometricDistribution
Access the sample size.
getSampleSize() - Method in class org.apache.commons.math.distribution.HypergeometricDistributionImpl
Access the sample size.
getSampleStats() - Method in interface org.apache.commons.math.random.EmpiricalDistribution
Returns a DescriptiveStatistics describing this distribution.
getSampleStats() - Method in class org.apache.commons.math.random.EmpiricalDistributionImpl
 
getSigma() - Method in class org.apache.commons.math.random.ValueServer
Getter for property sigma.
getSignificance() - Method in class org.apache.commons.math.stat.BivariateRegression
Returns the significance level of the slope (equiv) correlation.
getSkewness() - Method in class org.apache.commons.math.stat.AbstractStorelessDescriptiveStatistics
Returns the skewness of the values that have been added as described by Equation (6) for k-Statistics.
getSkewness() - Method in class org.apache.commons.math.stat.DescriptiveStatistics
Returns the skewness of the available values.
getSlope() - Method in class org.apache.commons.math.stat.BivariateRegression
Returns the slope of the estimated regression line.
getSlopeConfidenceInterval() - Method in class org.apache.commons.math.stat.BivariateRegression
Returns the half-width of a 95% confidence interval for the slope estimate.
getSlopeConfidenceInterval(double) - Method in class org.apache.commons.math.stat.BivariateRegression
Returns the half-width of a (100-100*alpha)% confidence interval for the slope estimate.
getSlopeStdErr() - Method in class org.apache.commons.math.stat.BivariateRegression
Returns the standard error of the slope estimate, usually denoted s(b1).
getSortedValues() - Method in class org.apache.commons.math.stat.AbstractDescriptiveStatistics
 
getSortedValues() - Method in class org.apache.commons.math.stat.DescriptiveStatistics
Returns the current set of values in an array of double primitives, sorted in ascending order.
getSortedValues() - Method in class org.apache.commons.math.stat.StorelessDescriptiveStatisticsImpl
 
getStandardDeviation() - Method in class org.apache.commons.math.stat.AbstractStorelessDescriptiveStatistics
Returns the standard deviation for this collection of values
getStandardDeviation() - Method in class org.apache.commons.math.stat.DescriptiveStatistics
Returns the standard deviation of the available values.
getSum() - Method in class org.apache.commons.math.stat.AbstractStorelessDescriptiveStatistics
 
getSum() - Method in class org.apache.commons.math.stat.DescriptiveStatistics
Returns the sum of the values that have been added to Univariate.
getSumFreq() - Method in class org.apache.commons.math.stat.Frequency
Returns the sum of all frequencies
getSumSquaredErrors() - Method in class org.apache.commons.math.stat.BivariateRegression
Returns the sum of squared errors (SSE) associated with the regression model.
getSumsq() - Method in class org.apache.commons.math.stat.AbstractStorelessDescriptiveStatistics
 
getSumsq() - Method in class org.apache.commons.math.stat.DescriptiveStatistics
Returns the sum of the squares of the available values.
getTotalSumSquares() - Method in class org.apache.commons.math.stat.BivariateRegression
Returns the sum of squared deviations of the y values about their mean.
getTrace() - Method in interface org.apache.commons.math.linear.RealMatrix
Returns the trace of the matrix (the sum of the elements on the main diagonal).
getTrace() - Method in class org.apache.commons.math.linear.RealMatrixImpl
 
getTransformer(Class) - Method in class org.apache.commons.math.util.TransformerMap
Returns the Transformer that is mapped to a class if mapping is not present, this returns null.
getUpperBounds() - Method in interface org.apache.commons.math.random.EmpiricalDistribution
Returns the array of upper bounds for the bins.
getUpperBounds() - Method in class org.apache.commons.math.random.EmpiricalDistributionImpl
 
getValues() - Method in class org.apache.commons.math.stat.AbstractDescriptiveStatistics
 
getValues() - Method in class org.apache.commons.math.stat.DescriptiveStatistics
Returns the current set of values in an array of double primitives.
getValues() - Method in class org.apache.commons.math.stat.DescriptiveStatisticsImpl
 
getValues() - Method in class org.apache.commons.math.stat.StorelessDescriptiveStatisticsImpl
 
getValues() - Method in class org.apache.commons.math.util.ExpandableDoubleArray
Returns the internal storage array
getValues() - Method in class org.apache.commons.math.util.FixedDoubleArray
Returns the internal storage array
getValuesFileURL() - Method in class org.apache.commons.math.random.ValueServer
Getter for valuesFileURL
getVariance() - Method in class org.apache.commons.math.stat.AbstractStorelessDescriptiveStatistics
Returns the variance of the values that have been added via West's algorithm as described by Chan, T.
getVariance() - Method in class org.apache.commons.math.stat.DescriptiveStatistics
Returns the variance of the available values.
getWindowSize() - Method in class org.apache.commons.math.stat.AbstractStorelessDescriptiveStatistics
 
getWindowSize() - Method in class org.apache.commons.math.stat.DescriptiveStatistics
Univariate has the ability to return only measures for the last N elements added to the set of values.

H

HypergeometricDistribution - interface org.apache.commons.math.distribution.HypergeometricDistribution.
The Hypergeometric Distribution.
HypergeometricDistributionImpl - class org.apache.commons.math.distribution.HypergeometricDistributionImpl.
The default implementation of HypergeometricDistribution.
HypergeometricDistributionImpl(int, int, int) - Constructor for class org.apache.commons.math.distribution.HypergeometricDistributionImpl
Construct a new hypergeometric distribution with the given the population size, the number of successes in the population, and the sample size.

I

I - Static variable in class org.apache.commons.math.complex.Complex
The square root of -1.
INFINITE_WINDOW - Static variable in class org.apache.commons.math.stat.DescriptiveStatistics
This constant signals that a Univariate implementation takes into account the contributions of an infinite number of elements.
imaginary - Variable in class org.apache.commons.math.complex.Complex
The imaginary part.
incMoment - Variable in class org.apache.commons.math.stat.univariate.moment.Kurtosis
 
incMoment - Variable in class org.apache.commons.math.stat.univariate.moment.Mean
 
incMoment - Variable in class org.apache.commons.math.stat.univariate.moment.Skewness
 
incMoment - Variable in class org.apache.commons.math.stat.univariate.moment.Variance
Boolean test to determine if this Variance should also increment the second moment, this evaluates to false when this Variance is constructed with an external SecondMoment as a parameter.
increment(double) - Method in class org.apache.commons.math.stat.univariate.AbstractStorelessUnivariateStatistic
 
increment(double) - Method in interface org.apache.commons.math.stat.univariate.StorelessUnivariateStatistic
Increments the internal state of the Storagless Implementation.
increment(double) - Method in class org.apache.commons.math.stat.univariate.moment.FirstMoment
 
increment(double) - Method in class org.apache.commons.math.stat.univariate.moment.FourthMoment
 
increment(double) - Method in class org.apache.commons.math.stat.univariate.moment.GeometricMean
 
increment(double) - Method in class org.apache.commons.math.stat.univariate.moment.Kurtosis
 
increment(double) - Method in class org.apache.commons.math.stat.univariate.moment.Mean
 
increment(double) - Method in class org.apache.commons.math.stat.univariate.moment.SecondMoment
 
increment(double) - Method in class org.apache.commons.math.stat.univariate.moment.Skewness
 
increment(double) - Method in class org.apache.commons.math.stat.univariate.moment.StandardDeviation
 
increment(double) - Method in class org.apache.commons.math.stat.univariate.moment.ThirdMoment
 
increment(double) - Method in class org.apache.commons.math.stat.univariate.moment.Variance
 
increment(double) - Method in class org.apache.commons.math.stat.univariate.rank.Max
 
increment(double) - Method in class org.apache.commons.math.stat.univariate.rank.Min
 
increment(double) - Method in class org.apache.commons.math.stat.univariate.summary.Product
 
increment(double) - Method in class org.apache.commons.math.stat.univariate.summary.Sum
 
increment(double) - Method in class org.apache.commons.math.stat.univariate.summary.SumOfLogs
 
increment(double) - Method in class org.apache.commons.math.stat.univariate.summary.SumOfSquares
 
initialCapacity - Variable in class org.apache.commons.math.util.ExpandableDoubleArray
The initial capacity of the array.
internalArray - Variable in class org.apache.commons.math.util.ExpandableDoubleArray
This is the internal storage array.
interpolate(double[], double[]) - Method in class org.apache.commons.math.analysis.SplineInterpolator
Computes an interpolating function for the data set.
interpolate(double[], double[]) - Method in interface org.apache.commons.math.analysis.UnivariateRealInterpolator
Computes an interpolating function for the data set.
inverse() - Method in interface org.apache.commons.math.linear.RealMatrix
Returns the inverse of this matrix.
inverse() - Method in class org.apache.commons.math.linear.RealMatrixImpl
 
inverseCummulativeProbability(double) - Method in class org.apache.commons.math.distribution.AbstractContinuousDistribution
For this distribution, X, this method returns the critical point x, such that P(X < x) = p.
inverseCummulativeProbability(double) - Method in class org.apache.commons.math.distribution.AbstractDiscreteDistribution
For this distribution, X, this method returns the critical point x, such that P(X ≤ x) ≤ p.
inverseCummulativeProbability(double) - Method in interface org.apache.commons.math.distribution.ContinuousDistribution
For this disbution, X, this method returns x such that P(X < x) = p.
inverseCummulativeProbability(double) - Method in interface org.apache.commons.math.distribution.DiscreteDistribution
For this disbution, X, this method returns x such that P(X ≤ x) <= p.
inverseCummulativeProbability(double) - Method in class org.apache.commons.math.distribution.ExponentialDistributionImpl
For this distribution, X, this method returns the critical point x, such that P(X < x) = p.
isLoaded() - Method in interface org.apache.commons.math.random.EmpiricalDistribution
property indicating whether or not the distribution has been loaded
isLoaded() - Method in class org.apache.commons.math.random.EmpiricalDistributionImpl
 
isNaN() - Method in class org.apache.commons.math.complex.Complex
Returns true if this complex number is the special Not-a-Number (NaN) value.
isSingular() - Method in interface org.apache.commons.math.linear.RealMatrix
Is this a singular matrix?
isSingular() - Method in class org.apache.commons.math.linear.RealMatrixImpl
 
isSquare() - Method in interface org.apache.commons.math.linear.RealMatrix
Is this a square matrix?
isSquare() - Method in class org.apache.commons.math.linear.RealMatrixImpl
 
iterationCount - Variable in class org.apache.commons.math.analysis.UnivariateRealSolverImpl
The last iteration count.

K

Kurtosis - class org.apache.commons.math.stat.univariate.moment.Kurtosis.
 
Kurtosis() - Constructor for class org.apache.commons.math.stat.univariate.moment.Kurtosis
Construct a Kurtosis
Kurtosis(FourthMoment) - Constructor for class org.apache.commons.math.stat.univariate.moment.Kurtosis
Construct a Kurtosis with an external moment
kurtosis - Variable in class org.apache.commons.math.stat.AbstractStorelessDescriptiveStatistics
kurtosis of values that have been added

L

LEPTOKURTIC - Static variable in class org.apache.commons.math.stat.DescriptiveStatistics
A LEPTOKURTIC set has a positive kurtosis (a high peak)
LUDecompose() - Method in class org.apache.commons.math.linear.RealMatrixImpl
Computes a new LU decompostion for this matrix, storing the result for use by other methods.
load(String) - Method in interface org.apache.commons.math.random.EmpiricalDistribution
Computes the empirical distribution from the input file.
load(File) - Method in interface org.apache.commons.math.random.EmpiricalDistribution
Computes the empirical distribution from the input file.
load(URL) - Method in interface org.apache.commons.math.random.EmpiricalDistribution
Computes the empirical distribution using data read from a URL.
load(String) - Method in class org.apache.commons.math.random.EmpiricalDistributionImpl
 
load(URL) - Method in class org.apache.commons.math.random.EmpiricalDistributionImpl
 
load(File) - Method in class org.apache.commons.math.random.EmpiricalDistributionImpl
 
loadDistribution(File) - Method in interface org.apache.commons.math.random.EmpiricalDistribution
Loads a saved distribution from a file.
loadDistribution(String) - Method in interface org.apache.commons.math.random.EmpiricalDistribution
Loads a saved distribution from a file.
loadDistribution(String) - Method in class org.apache.commons.math.random.EmpiricalDistributionImpl
 
loadDistribution(File) - Method in class org.apache.commons.math.random.EmpiricalDistributionImpl
 
log(Complex) - Static method in class org.apache.commons.math.complex.ComplexMath
 
logBeta(double, double) - Static method in class org.apache.commons.math.special.Beta
Returns the natural logarithm of the beta function B(a, b).
logBeta(double, double, double, int) - Static method in class org.apache.commons.math.special.Beta
Returns the natural logarithm of the beta function B(a, b).
logGamma(double) - Static method in class org.apache.commons.math.special.Gamma
Returns the natural logarithm of the gamma function Γ(x).

M

MESOKURTIC - Static variable in class org.apache.commons.math.stat.DescriptiveStatistics
A MESOKURTIC set has a kurtosis of 0 - it is a normal distribution
MathConfigurationException - exception org.apache.commons.math.MathConfigurationException.
Signals a configuration problem with any of the factory methods.
MathConfigurationException() - Constructor for class org.apache.commons.math.MathConfigurationException
Default constructor.
MathConfigurationException(String) - Constructor for class org.apache.commons.math.MathConfigurationException
Construct an exception with the given message.
MathConfigurationException(String, Throwable) - Constructor for class org.apache.commons.math.MathConfigurationException
Construct an exception with the given message and root cause.
MathConfigurationException(Throwable) - Constructor for class org.apache.commons.math.MathConfigurationException
Construct an exception with the given root cause.
MathException - exception org.apache.commons.math.MathException.
A generic exception indicating problems in the math package.
MathException() - Constructor for class org.apache.commons.math.MathException
Constructs a MathException
MathException(String) - Constructor for class org.apache.commons.math.MathException
Create an exception with a given error message.
MathException(String, Throwable) - Constructor for class org.apache.commons.math.MathException
Create an exception with a given error message and root cause.
MathException(Throwable) - Constructor for class org.apache.commons.math.MathException
Create an exception with a given root cause.
MathUtils - class org.apache.commons.math.util.MathUtils.
Some useful additions to the built-in functions in Math.
Max - class org.apache.commons.math.stat.univariate.rank.Max.
 
Max() - Constructor for class org.apache.commons.math.stat.univariate.rank.Max
 
Mean - class org.apache.commons.math.stat.univariate.moment.Mean.
Returns the arithmetic mean of the available values.
Mean() - Constructor for class org.apache.commons.math.stat.univariate.moment.Mean
 
Mean(FirstMoment) - Constructor for class org.apache.commons.math.stat.univariate.moment.Mean
Constructs a Mean with an External Moment.
Median - class org.apache.commons.math.stat.univariate.rank.Median.
 
Median() - Constructor for class org.apache.commons.math.stat.univariate.rank.Median
 
Min - class org.apache.commons.math.stat.univariate.rank.Min.
 
Min() - Constructor for class org.apache.commons.math.stat.univariate.rank.Min
 
m1 - Variable in class org.apache.commons.math.stat.univariate.moment.FirstMoment
first moment of values that have been added
m2 - Variable in class org.apache.commons.math.stat.univariate.moment.SecondMoment
second moment of values that have been added
m3 - Variable in class org.apache.commons.math.stat.univariate.moment.ThirdMoment
third moment of values that have been added
m4 - Variable in class org.apache.commons.math.stat.univariate.moment.FourthMoment
fourth moment of values that have been added
max - Variable in class org.apache.commons.math.stat.AbstractStorelessDescriptiveStatistics
max of values that have been added
max(double[]) - Static method in class org.apache.commons.math.stat.StatUtils
Returns the maximum of the available values
max(double[], int, int) - Static method in class org.apache.commons.math.stat.StatUtils
Returns the maximum of the available values
maximalIterationCount - Variable in class org.apache.commons.math.analysis.UnivariateRealSolverImpl
Maximum number of iterations.
mean - Variable in class org.apache.commons.math.stat.AbstractStorelessDescriptiveStatistics
mean of values that have been added
mean(double[]) - Static method in class org.apache.commons.math.stat.StatUtils
Returns the arithmetic mean of the available values
mean(double[], int, int) - Static method in class org.apache.commons.math.stat.StatUtils
Returns the arithmetic mean of the available values
mean - Variable in class org.apache.commons.math.stat.univariate.moment.Variance
Mean to be used in UnvariateStatistic evaluation approach.
midpoint(double, double) - Static method in class org.apache.commons.math.analysis.BisectionSolver
Compute the midpoint of two values.
min - Variable in class org.apache.commons.math.stat.AbstractStorelessDescriptiveStatistics
min of values that have been added
min(double[]) - Static method in class org.apache.commons.math.stat.StatUtils
Returns the minimum of the available values
min(double[], int, int) - Static method in class org.apache.commons.math.stat.StatUtils
Returns the minimum of the available values
moment - Variable in class org.apache.commons.math.stat.AbstractStorelessDescriptiveStatistics
FourthMoment is used in calculating mean, variance,skew and kurtosis
moment - Variable in class org.apache.commons.math.stat.univariate.moment.Kurtosis
 
moment - Variable in class org.apache.commons.math.stat.univariate.moment.Mean
first moment of values that have been added
moment - Variable in class org.apache.commons.math.stat.univariate.moment.Skewness
 
moment - Variable in class org.apache.commons.math.stat.univariate.moment.Variance
SecondMoment is used in incremental calculation of Variance
multiply(Complex) - Method in class org.apache.commons.math.complex.Complex
Return the product of this complex number and the given complex number.
multiply(RealMatrix) - Method in interface org.apache.commons.math.linear.RealMatrix
Returns the result postmultiplying this by m.
multiply(RealMatrix) - Method in class org.apache.commons.math.linear.RealMatrixImpl
Returns the result postmultiplying this by m.

N

NaN - Static variable in class org.apache.commons.math.complex.Complex
 
NumberTransformer - interface org.apache.commons.math.util.NumberTransformer.
Subclasses implementing this interface can transform Objects to doubles.
n - Variable in class org.apache.commons.math.stat.AbstractStorelessDescriptiveStatistics
count of values that have been added
n - Variable in class org.apache.commons.math.stat.univariate.moment.FirstMoment
count of values that have been added
n - Variable in class org.apache.commons.math.stat.univariate.moment.GeometricMean
 
n - Variable in class org.apache.commons.math.stat.univariate.moment.Variance
Maintains the current count of inrementations that have occured.
n0 - Variable in class org.apache.commons.math.stat.univariate.moment.FirstMoment
temporary internal state made available for higher order moments
n1 - Variable in class org.apache.commons.math.stat.univariate.moment.SecondMoment
temporary internal state made availabel for higher order moments
n2 - Variable in class org.apache.commons.math.stat.univariate.moment.ThirdMoment
temporary internal state made availabel for higher order moments
n3 - Variable in class org.apache.commons.math.stat.univariate.moment.FourthMoment
temporary internal state made available for higher order moments
negate() - Method in class org.apache.commons.math.complex.Complex
Return the additive inverse of this complex number.
newBisectionSolver(UnivariateRealFunction) - Method in class org.apache.commons.math.analysis.UnivariateRealSolverFactory
Create a new UnivariateRealSolver for the given function.
newBisectionSolver(UnivariateRealFunction) - Method in class org.apache.commons.math.analysis.UnivariateRealSolverFactoryImpl
Create a new UnivariateRealSolver for the given function.
newBrentSolver(UnivariateRealFunction) - Method in class org.apache.commons.math.analysis.UnivariateRealSolverFactory
Create a new UnivariateRealSolver for the given function.
newBrentSolver(UnivariateRealFunction) - Method in class org.apache.commons.math.analysis.UnivariateRealSolverFactoryImpl
Create a new UnivariateRealSolver for the given function.
newDefaultSolver(UnivariateRealFunction) - Method in class org.apache.commons.math.analysis.UnivariateRealSolverFactory
Create a new UnivariateRealSolver for the given function.
newDefaultSolver(UnivariateRealFunction) - Method in class org.apache.commons.math.analysis.UnivariateRealSolverFactoryImpl
Create a new UnivariateRealSolver for the given function.
newInstance() - Static method in class org.apache.commons.math.analysis.UnivariateRealSolverFactory
Create a new factory.
newInstance() - Static method in class org.apache.commons.math.distribution.DistributionFactory
Create an instance of a DistributionFactory
newInstance(String) - Static method in class org.apache.commons.math.stat.DescriptiveStatistics
Create an instance of a DescriptiveStatistics
newInstance(Class) - Static method in class org.apache.commons.math.stat.DescriptiveStatistics
Create an instance of a DescriptiveStatistics
newInstance() - Static method in class org.apache.commons.math.stat.DescriptiveStatistics
Create an instance of a DescriptiveStatistics
newSecantSolver(UnivariateRealFunction) - Method in class org.apache.commons.math.analysis.UnivariateRealSolverFactory
Create a new UnivariateRealSolver for the given function.
newSecantSolver(UnivariateRealFunction) - Method in class org.apache.commons.math.analysis.UnivariateRealSolverFactoryImpl
Create a new UnivariateRealSolver for the given function.
nextExponential(double) - Method in interface org.apache.commons.math.random.RandomData
Generates a random value from the exponential distribution with expected value = mean.
nextExponential(double) - Method in class org.apache.commons.math.random.RandomDataImpl
Algorithm Description: Uses the Inversion Method to generate exponential from uniform deviates.
nextGaussian(double, double) - Method in interface org.apache.commons.math.random.RandomData
Generates a random value from the Normal (or Gaussian) distribution with the given mean and standard deviation.
nextGaussian(double, double) - Method in class org.apache.commons.math.random.RandomDataImpl
Generate a random value from a Normal distribution.
nextHexString(int) - Method in interface org.apache.commons.math.random.RandomData
Generates a random string of hex characters of length len.
nextHexString(int) - Method in class org.apache.commons.math.random.RandomDataImpl
Algorithm Description: hex strings are generated using a 2-step process.
nextInt(int, int) - Method in interface org.apache.commons.math.random.RandomData
Generates a uniformly distributed random integer between lower and upper (endpoints included).
nextInt(int, int) - Method in class org.apache.commons.math.random.RandomDataImpl
Generate a random int value uniformly distributed between lower and upper, inclusive.
nextLong(long, long) - Method in interface org.apache.commons.math.random.RandomData
Generates a uniformly distributed random long integer between lower and upper (endpoints included).
nextLong(long, long) - Method in class org.apache.commons.math.random.RandomDataImpl
Generate a random long value uniformly distributed between lower and upper, inclusive.
nextPermutation(int, int) - Method in interface org.apache.commons.math.random.RandomData
Generates an integer array of length k whose entries are selected randomly, without repetition, from the integers 0 through n-1 (inclusive).
nextPermutation(int, int) - Method in class org.apache.commons.math.random.RandomDataImpl
Uses a 2-cycle permutation shuffle to generate a random permutation.
nextPoisson(double) - Method in interface org.apache.commons.math.random.RandomData
Generates a random value from the Poisson distribution with the given mean.
nextPoisson(double) - Method in class org.apache.commons.math.random.RandomDataImpl
Algorithm Description: Uses simulation of a Poisson process using Uniform deviates, as described here
nextSample(Collection, int) - Method in interface org.apache.commons.math.random.RandomData
Returns an array of k objects selected randomly from the Collection c.
nextSample(Collection, int) - Method in class org.apache.commons.math.random.RandomDataImpl
Uses a 2-cycle permutation shuffle to generate a random permutation.
nextSecureHexString(int) - Method in interface org.apache.commons.math.random.RandomData
Generates a random string of hex characters from a secure random sequence.
nextSecureHexString(int) - Method in class org.apache.commons.math.random.RandomDataImpl
Algorithm Description: hex strings are generated in 40-byte segments using a 3-step process.
nextSecureInt(int, int) - Method in interface org.apache.commons.math.random.RandomData
Generates a uniformly distributed random integer between lower and upper (endpoints included) from a secure random sequence.
nextSecureInt(int, int) - Method in class org.apache.commons.math.random.RandomDataImpl
Generate a random int value uniformly distributed between lower and upper, inclusive.
nextSecureLong(long, long) - Method in interface org.apache.commons.math.random.RandomData
Generates a random long integer between lower and upper (endpoints included).
nextSecureLong(long, long) - Method in class org.apache.commons.math.random.RandomDataImpl
Generate a random long value uniformly distributed between lower and upper, inclusive.
nextUniform(double, double) - Method in interface org.apache.commons.math.random.RandomData
Generates a uniformly distributed random value from the open interval (lower,upper) (i.e., endpoints excluded).
nextUniform(double, double) - Method in class org.apache.commons.math.random.RandomDataImpl
Algorithm Description: scales the output of Random.nextDouble(), but rejects 0 values (i.e., will generate another random double if Random.nextDouble() returns 0).
numElements - Variable in class org.apache.commons.math.util.ExpandableDoubleArray
Number of elements in the array

O

ONE - Static variable in class org.apache.commons.math.complex.Complex
1.
openReplayFile() - Method in class org.apache.commons.math.random.ValueServer
Deprecated. use ValueServer.resetReplayFile() to be removed before 0.1 release
operate(double[]) - Method in interface org.apache.commons.math.linear.RealMatrix
Returns the result of multiplying this by the vector v.
operate(double[]) - Method in class org.apache.commons.math.linear.RealMatrixImpl
 
org.apache.commons.math - package org.apache.commons.math
Common classes used throughout the commons-math library.
org.apache.commons.math.analysis - package org.apache.commons.math.analysis
Implementations of common numerical analysis procedures, including root finding and function interpolation.
org.apache.commons.math.complex - package org.apache.commons.math.complex
 
org.apache.commons.math.distribution - package org.apache.commons.math.distribution
Implementations of common discrete and continuous distributions.
org.apache.commons.math.linear - package org.apache.commons.math.linear
Linear algebra support.
org.apache.commons.math.random - package org.apache.commons.math.random
Random number and random data generators.
org.apache.commons.math.special - package org.apache.commons.math.special
Implementations of special functions such as Beta and Gamma.
org.apache.commons.math.stat - package org.apache.commons.math.stat
Data storage, manipulation and summary routines.
org.apache.commons.math.stat.univariate - package org.apache.commons.math.stat.univariate
Generic univariate summary statistic objects.
org.apache.commons.math.stat.univariate.moment - package org.apache.commons.math.stat.univariate.moment
Summary statistics based on moments.
org.apache.commons.math.stat.univariate.rank - package org.apache.commons.math.stat.univariate.rank
Summary statistics based on ranks.
org.apache.commons.math.stat.univariate.summary - package org.apache.commons.math.stat.univariate.summary
Other summary statistics.
org.apache.commons.math.util - package org.apache.commons.math.util
Convience routines and common data structure used throughout the commons-math library.

P

PLATYKURTIC - Static variable in class org.apache.commons.math.stat.DescriptiveStatistics
A PLATYKURTIC set has a negative kurtosis (a flat "peak")
Percentile - class org.apache.commons.math.stat.univariate.rank.Percentile.
 
Percentile() - Constructor for class org.apache.commons.math.stat.univariate.rank.Percentile
Constructs a Percentile with a default percentile value of 50.0.
Percentile(double) - Constructor for class org.apache.commons.math.stat.univariate.rank.Percentile
Constructs a Percentile with the specific percentile value.
PolynomialFunction - class org.apache.commons.math.analysis.PolynomialFunction.
Represents a Polynomial function.
PolynomialFunction(double[]) - Constructor for class org.apache.commons.math.analysis.PolynomialFunction
Construct a function with the given segment delimiters and polynomial coefficients.
Product - class org.apache.commons.math.stat.univariate.summary.Product.
 
Product() - Constructor for class org.apache.commons.math.stat.univariate.summary.Product
 
percentile - Variable in class org.apache.commons.math.stat.AbstractDescriptiveStatistics
Percentile
percentile(double[], double) - Static method in class org.apache.commons.math.stat.StatUtils
Returns an estimate for the pth percentile of the stored values.
percentile(double[], int, int, double) - Static method in class org.apache.commons.math.stat.StatUtils
Returns an estimate for the pth percentile of the stored values.
pow(Complex, Complex) - Static method in class org.apache.commons.math.complex.ComplexMath
 
preMultiply(double[]) - Method in interface org.apache.commons.math.linear.RealMatrix
Returns the result of premultiplying this by the vector v.
preMultiply(double[]) - Method in class org.apache.commons.math.linear.RealMatrixImpl
 
predict(double) - Method in class org.apache.commons.math.stat.BivariateRegression
Returns the "predicted" y value associated with the supplied x value.
prevM2 - Variable in class org.apache.commons.math.stat.univariate.moment.ThirdMoment
temporary internal state made availabel for higher order moments
prevM3 - Variable in class org.apache.commons.math.stat.univariate.moment.FourthMoment
temporary internal state made available for higher order moments
probability(int) - Method in class org.apache.commons.math.distribution.BinomialDistributionImpl
For this disbution, X, this method returns P(X = x).
probability(int) - Method in interface org.apache.commons.math.distribution.DiscreteDistribution
For this disbution, X, this method returns P(X = x).
probability(int) - Method in class org.apache.commons.math.distribution.HypergeometricDistributionImpl
For this disbution, X, this method returns P(X = x).
product(double[]) - Static method in class org.apache.commons.math.stat.StatUtils
Returns the product for this collection of values
product(double[], int, int) - Static method in class org.apache.commons.math.stat.StatUtils
Returns the product for this collection of values
putTransformer(Class, NumberTransformer) - Method in class org.apache.commons.math.util.TransformerMap
Sets a Class to Transformer Mapping in the Map.

R

REPLAY_MODE - Static variable in class org.apache.commons.math.random.ValueServer
Replay data from valuesFilePath
RandomData - interface org.apache.commons.math.random.RandomData.
Random data generation utilities
RandomDataImpl - class org.apache.commons.math.random.RandomDataImpl.
Implements the RandomData interface using java.util.Random and java.util.Random.SecureRandom instances to generate data.
RandomDataImpl() - Constructor for class org.apache.commons.math.random.RandomDataImpl
Construct a RandomDataImpl.
RealMatrix - interface org.apache.commons.math.linear.RealMatrix.
Interface defining a real-valued matrix with basic algebraic operations
RealMatrixImpl - class org.apache.commons.math.linear.RealMatrixImpl.
Implementation for RealMatrix using a double[][] array to store entries and LU decompostion to support linear system solution and inverse.
RealMatrixImpl() - Constructor for class org.apache.commons.math.linear.RealMatrixImpl
Creates a matrix with no data
RealMatrixImpl(int, int) - Constructor for class org.apache.commons.math.linear.RealMatrixImpl
Create a new RealMatrix with the supplied row and column dimensions.
RealMatrixImpl(double[][]) - Constructor for class org.apache.commons.math.linear.RealMatrixImpl
Create a new RealMatrix using the data as the underlying data array.
RealMatrixImpl(double[]) - Constructor for class org.apache.commons.math.linear.RealMatrixImpl
Create a new (column) RealMatrix using v as the data for the unique column of the v.length x 1 matrix created.
reSeed(long) - Method in class org.apache.commons.math.random.RandomDataImpl
Reseeds the random number generator with the supplied seed.
reSeed() - Method in class org.apache.commons.math.random.RandomDataImpl
Reseeds the random number generator with the current time in milliseconds.
reSeedSecure() - Method in class org.apache.commons.math.random.RandomDataImpl
Reseeds the secure random number generator with the current time in milliseconds.
reSeedSecure(long) - Method in class org.apache.commons.math.random.RandomDataImpl
Reseeds the secure random number generator with the supplied seed.
real - Variable in class org.apache.commons.math.complex.Complex
The real part.
regularizedBeta(double, double, double) - Static method in class org.apache.commons.math.special.Beta
Returns the regularized beta function I(x, a, b).
regularizedBeta(double, double, double, double) - Static method in class org.apache.commons.math.special.Beta
Returns the regularized beta function I(x, a, b).
regularizedBeta(double, double, double, int) - Static method in class org.apache.commons.math.special.Beta
Returns the regularized beta function I(x, a, b).
regularizedBeta(double, double, double, double, int) - Static method in class org.apache.commons.math.special.Beta
Returns the regularized beta function I(x, a, b).
regularizedGammaP(double, double) - Static method in class org.apache.commons.math.special.Gamma
Returns the regularized gamma function P(a, x).
regularizedGammaP(double, double, double, int) - Static method in class org.apache.commons.math.special.Gamma
Returns the regularized gamma function P(a, x).
relativeAccuracy - Variable in class org.apache.commons.math.analysis.UnivariateRealSolverImpl
Maximum relative error.
removeTransformer(Class) - Method in class org.apache.commons.math.util.TransformerMap
Removes a Class to Transformer Mapping in the Map.
resetAbsoluteAccuracy() - Method in interface org.apache.commons.math.analysis.UnivariateRealSolver
Reset the absolute accuracy to the default.
resetAbsoluteAccuracy() - Method in class org.apache.commons.math.analysis.UnivariateRealSolverImpl
Reset the absolute accuracy to the default.
resetFunctionValueAccuracy() - Method in interface org.apache.commons.math.analysis.UnivariateRealSolver
Reset the actual function accuracy to the default.
resetFunctionValueAccuracy() - Method in class org.apache.commons.math.analysis.UnivariateRealSolverImpl
Reset the actual function accuracy to the default.
resetMaximalIterationCount() - Method in interface org.apache.commons.math.analysis.UnivariateRealSolver
Reset the upper limit for the number of iterations to the default.
resetMaximalIterationCount() - Method in class org.apache.commons.math.analysis.UnivariateRealSolverImpl
Reset the upper limit for the number of iterations to the default.
resetRelativeAccuracy() - Method in interface org.apache.commons.math.analysis.UnivariateRealSolver
Reset the relative accuracy to the default.
resetRelativeAccuracy() - Method in class org.apache.commons.math.analysis.UnivariateRealSolverImpl
Reset the relative accuracy to the default.
resetReplayFile() - Method in class org.apache.commons.math.random.ValueServer
Resets REPLAY_MODE file pointer to the beginning of the valuesFileURL.
result - Variable in class org.apache.commons.math.analysis.UnivariateRealSolverImpl
The last computed root.
resultComputed - Variable in class org.apache.commons.math.analysis.UnivariateRealSolverImpl
Indicates where a root has been computed.

S

SecantSolver - class org.apache.commons.math.analysis.SecantSolver.
Provide the secant algorithm for solving for zeros of real univariate functions.
SecantSolver(UnivariateRealFunction) - Constructor for class org.apache.commons.math.analysis.SecantSolver
Construct a solver for the given function.
SecondMoment - class org.apache.commons.math.stat.univariate.moment.SecondMoment.
The SecondMoment is calculated using the following recursive strategy .
SecondMoment() - Constructor for class org.apache.commons.math.stat.univariate.moment.SecondMoment
 
Skewness - class org.apache.commons.math.stat.univariate.moment.Skewness.
 
Skewness() - Constructor for class org.apache.commons.math.stat.univariate.moment.Skewness
Constructs a Skewness
Skewness(ThirdMoment) - Constructor for class org.apache.commons.math.stat.univariate.moment.Skewness
Constructs a Skewness with an external moment
SplineInterpolator - class org.apache.commons.math.analysis.SplineInterpolator.
Computes a natural spline interpolation for the data set.
SplineInterpolator() - Constructor for class org.apache.commons.math.analysis.SplineInterpolator
 
StandardDeviation - class org.apache.commons.math.stat.univariate.moment.StandardDeviation.
 
StandardDeviation() - Constructor for class org.apache.commons.math.stat.univariate.moment.StandardDeviation
Constructs a StandardDeviation
StandardDeviation(SecondMoment) - Constructor for class org.apache.commons.math.stat.univariate.moment.StandardDeviation
Constructs a StandardDeviation with an external moment
StatUtils - class org.apache.commons.math.stat.StatUtils.
StatUtils provides easy static implementations of common double[] based statistical methods.
StorelessDescriptiveStatisticsImpl - class org.apache.commons.math.stat.StorelessDescriptiveStatisticsImpl.
Accumulates univariate statistics for values fed in through the addValue() method.
StorelessDescriptiveStatisticsImpl() - Constructor for class org.apache.commons.math.stat.StorelessDescriptiveStatisticsImpl
Creates new univariate with an infinite window
StorelessDescriptiveStatisticsImpl(int) - Constructor for class org.apache.commons.math.stat.StorelessDescriptiveStatisticsImpl
Creates a new univariate with a fixed window
StorelessUnivariateStatistic - interface org.apache.commons.math.stat.univariate.StorelessUnivariateStatistic.
Extends the capabilities of UnivariateStatistic with a statefull incremental strategy through three methods for calculating a statistic without having to maintain a double[] of the values.
Sum - class org.apache.commons.math.stat.univariate.summary.Sum.
 
Sum() - Constructor for class org.apache.commons.math.stat.univariate.summary.Sum
 
SumOfLogs - class org.apache.commons.math.stat.univariate.summary.SumOfLogs.
 
SumOfLogs() - Constructor for class org.apache.commons.math.stat.univariate.summary.SumOfLogs
 
SumOfSquares - class org.apache.commons.math.stat.univariate.summary.SumOfSquares.
 
SumOfSquares() - Constructor for class org.apache.commons.math.stat.univariate.summary.SumOfSquares
 
saveDistribution(String) - Method in interface org.apache.commons.math.random.EmpiricalDistribution
Saves distribution to a file.
saveDistribution(File) - Method in interface org.apache.commons.math.random.EmpiricalDistribution
Saves distribution to a file.
saveDistribution(String) - Method in class org.apache.commons.math.random.EmpiricalDistributionImpl
 
saveDistribution(File) - Method in class org.apache.commons.math.random.EmpiricalDistributionImpl
 
scalarAdd(double) - Method in interface org.apache.commons.math.linear.RealMatrix
Returns the result of adding d to each entry of this.
scalarAdd(double) - Method in class org.apache.commons.math.linear.RealMatrixImpl
Returns the result of adding d to each entry of this.
scalarMultiply(double) - Method in interface org.apache.commons.math.linear.RealMatrix
Returns the result multiplying each entry of this by d.
scalarMultiply(double) - Method in class org.apache.commons.math.linear.RealMatrixImpl
Returns the result multiplying each entry of this by d
secondDerivative(double) - Method in class org.apache.commons.math.analysis.CubicSplineFunction
Compute the value for the second derivative of the function.
secondDerivative(double) - Method in class org.apache.commons.math.analysis.PolynomialFunction
Compute the value for the second derivative of the function.
setAbsoluteAccuracy(double) - Method in interface org.apache.commons.math.analysis.UnivariateRealSolver
Set the absolute accuracy.
setAbsoluteAccuracy(double) - Method in class org.apache.commons.math.analysis.UnivariateRealSolverImpl
Set the absolute accuracy.
setAlpha(double) - Method in interface org.apache.commons.math.distribution.GammaDistribution
Modify the shape parameter, alpha.
setAlpha(double) - Method in class org.apache.commons.math.distribution.GammaDistributionImpl
Modify the shape parameter, alpha.
setBeta(double) - Method in interface org.apache.commons.math.distribution.GammaDistribution
Modify the scale parameter, beta.
setBeta(double) - Method in class org.apache.commons.math.distribution.GammaDistributionImpl
Modify the scale parameter, beta.
setContractionCriteria(float) - Method in class org.apache.commons.math.util.ContractableDoubleArray
Sets the contraction criteria for this ExpandContractDoubleArray.
setData(double[][]) - Method in interface org.apache.commons.math.linear.RealMatrix
Overwrites the underlying data for the matrix with a fresh copy of data.
setData(double[][]) - Method in class org.apache.commons.math.linear.RealMatrixImpl
Overwrites the underlying data for the matrix with a fresh copy of inData.
setDataRef(double[][]) - Method in class org.apache.commons.math.linear.RealMatrixImpl
Overwrites the underlying data for the matrix with a reference to inData.
setDegreesOfFreedom(double) - Method in interface org.apache.commons.math.distribution.ChiSquaredDistribution
Modify the degrees of freedom.
setDegreesOfFreedom(double) - Method in class org.apache.commons.math.distribution.ChiSquaredDistributionImpl
Modify the degrees of freedom.
setDegreesOfFreedom(double) - Method in interface org.apache.commons.math.distribution.TDistribution
Modify the degrees of freedom.
setDegreesOfFreedom(double) - Method in class org.apache.commons.math.distribution.TDistributionImpl
Modify the degrees of freedom.
setDenominatorDegreesOfFreedom(double) - Method in interface org.apache.commons.math.distribution.FDistribution
Modify the denominator degrees of freedom.
setDenominatorDegreesOfFreedom(double) - Method in class org.apache.commons.math.distribution.FDistributionImpl
Modify the denominator degrees of freedom.
setElement(int, double) - Method in class org.apache.commons.math.util.ContractableDoubleArray
 
setElement(int, double) - Method in interface org.apache.commons.math.util.DoubleArray
Sets the element at the specified index.
setElement(int, double) - Method in class org.apache.commons.math.util.ExpandableDoubleArray
Sets the element at the specified index.
setElement(int, double) - Method in class org.apache.commons.math.util.FixedDoubleArray
Sets the element at the specified index to the value supplied.
setEntry(int, int, double) - Method in interface org.apache.commons.math.linear.RealMatrix
Sets the entry in the specified row and column to the specified value.
setEntry(int, int, double) - Method in class org.apache.commons.math.linear.RealMatrixImpl
 
setExpansionFactor(float) - Method in class org.apache.commons.math.util.ContractableDoubleArray
Method invokes the super class' setExpansionFactor but first it must validate the combination of expansionFactor and contractionCriteria.
setExpansionFactor(float) - Method in class org.apache.commons.math.util.ExpandableDoubleArray
Sets the expansion factor for this expandable double array.
setFunctionValueAccuracy(double) - Method in interface org.apache.commons.math.analysis.UnivariateRealSolver
Set the function value accuracy.
setFunctionValueAccuracy(double) - Method in class org.apache.commons.math.analysis.UnivariateRealSolverImpl
Set the function value accuracy.
setInitialCapacity(int) - Method in class org.apache.commons.math.util.ExpandableDoubleArray
Sets the initial capacity
setMaximalIterationCount(int) - Method in interface org.apache.commons.math.analysis.UnivariateRealSolver
Set the upper limit for the number of iterations.
setMaximalIterationCount(int) - Method in class org.apache.commons.math.analysis.UnivariateRealSolverImpl
Set the upper limit for the number of iterations.
setMean(double) - Method in interface org.apache.commons.math.distribution.ExponentialDistribution
Modify the mean.
setMean(double) - Method in class org.apache.commons.math.distribution.ExponentialDistributionImpl
Modify the mean.
setMode(int) - Method in class org.apache.commons.math.random.ValueServer
Setter for property mode.
setMu(double) - Method in class org.apache.commons.math.random.ValueServer
Setter for property mu.
setName(String) - Method in class org.apache.commons.math.stat.Frequency
Setter for property name.
setNumElements(int) - Method in class org.apache.commons.math.util.ExpandableDoubleArray
This function allows you to control the number of elements contained in this array, and can be used to "throw" out the last n values in an array.
setNumberOfSuccesses(int) - Method in interface org.apache.commons.math.distribution.HypergeometricDistribution
Modify the number of successes.
setNumberOfSuccesses(int) - Method in class org.apache.commons.math.distribution.HypergeometricDistributionImpl
Modify the number of successes.
setNumberOfTrials(int) - Method in interface org.apache.commons.math.distribution.BinomialDistribution
Change the number of trials for this distribution.
setNumberOfTrials(int) - Method in class org.apache.commons.math.distribution.BinomialDistributionImpl
Change the number of trials for this distribution.
setNumeratorDegreesOfFreedom(double) - Method in interface org.apache.commons.math.distribution.FDistribution
Modify the numerator degrees of freedom.
setNumeratorDegreesOfFreedom(double) - Method in class org.apache.commons.math.distribution.FDistributionImpl
Modify the numerator degrees of freedom.
setPercentile(double) - Method in class org.apache.commons.math.stat.univariate.rank.Percentile
The default internal state of this percentile can be set.
setPopulationSize(int) - Method in interface org.apache.commons.math.distribution.HypergeometricDistribution
Modify the population size.
setPopulationSize(int) - Method in class org.apache.commons.math.distribution.HypergeometricDistributionImpl
Modify the population size.
setProbabilityOfSuccess(double) - Method in interface org.apache.commons.math.distribution.BinomialDistribution
Change the probability of success for this distribution.
setProbabilityOfSuccess(double) - Method in class org.apache.commons.math.distribution.BinomialDistributionImpl
Change the probability of success for this distribution.
setRelativeAccuracy(double) - Method in interface org.apache.commons.math.analysis.UnivariateRealSolver
Set the relative accuracy.
setRelativeAccuracy(double) - Method in class org.apache.commons.math.analysis.UnivariateRealSolverImpl
Set the relative accuracy.
setResult(double, int) - Method in class org.apache.commons.math.analysis.UnivariateRealSolverImpl
Convenience function for implementations.
setSampleSize(int) - Method in interface org.apache.commons.math.distribution.HypergeometricDistribution
Modify the sample size.
setSampleSize(int) - Method in class org.apache.commons.math.distribution.HypergeometricDistributionImpl
Modify the sample size.
setSecureAlgorithm(String, String) - Method in class org.apache.commons.math.random.RandomDataImpl
Sets the PRNG algorithm for the underlying SecureRandom instance using the Security Provider API.
setSigma(double) - Method in class org.apache.commons.math.random.ValueServer
Setter for property sigma.
setValuesFileURL(String) - Method in class org.apache.commons.math.random.ValueServer
Deprecated. use ValueServer.setValuesFileURL(URL) to be removed before 0.1 release
setValuesFileURL(URL) - Method in class org.apache.commons.math.random.ValueServer
Sets the valuesFileURL
setWindowSize(int) - Method in class org.apache.commons.math.stat.AbstractStorelessDescriptiveStatistics
 
setWindowSize(int) - Method in class org.apache.commons.math.stat.DescriptiveStatistics
WindowSize controls the number of values which contribute to the values returned by Univariate.
setWindowSize(int) - Method in class org.apache.commons.math.stat.DescriptiveStatisticsImpl
 
sign(double) - Static method in class org.apache.commons.math.util.MathUtils
For a double precision value x, this method returns +1.0 if x >= 0 and -1.0 if x < 0.
sign(float) - Static method in class org.apache.commons.math.util.MathUtils
For a float value x, this method returns +1.0F if x >= 0 and -1.0F if x < 0.
sign(byte) - Static method in class org.apache.commons.math.util.MathUtils
For a byte value x, this method returns (byte)(+1) if x >= 0 and (byte)(-1) if x < 0.
sign(short) - Static method in class org.apache.commons.math.util.MathUtils
For a short value x, this method returns (short)(+1) if x >= 0 and (short)(-1) if x < 0.
sign(int) - Static method in class org.apache.commons.math.util.MathUtils
For an int value x, this method returns +1 if x >= 0 and -1 if x < 0.
sign(long) - Static method in class org.apache.commons.math.util.MathUtils
For a long value x, this method returns +1L if x >= 0 and -1L if x < 0.
sin(Complex) - Static method in class org.apache.commons.math.complex.ComplexMath
 
sinh(Complex) - Static method in class org.apache.commons.math.complex.ComplexMath
 
sinh(double) - Static method in class org.apache.commons.math.util.MathUtils
 
skewness - Variable in class org.apache.commons.math.stat.AbstractStorelessDescriptiveStatistics
skewness of values that have been added
skewness - Variable in class org.apache.commons.math.stat.univariate.moment.Skewness
 
solve(double, double, double) - Method in class org.apache.commons.math.analysis.BisectionSolver
Solve for a zero in the given interval.
solve(double, double) - Method in class org.apache.commons.math.analysis.BisectionSolver
Solve for a zero root in the given interval.
solve(double, double, double) - Method in class org.apache.commons.math.analysis.BrentSolver
Solve for a zero in the given interval.
solve(double, double) - Method in class org.apache.commons.math.analysis.BrentSolver
Solve for a zero root in the given interval.
solve(double, double, double) - Method in class org.apache.commons.math.analysis.SecantSolver
Solve for a zero in the given interval.
solve(double, double) - Method in class org.apache.commons.math.analysis.SecantSolver
Solve for a zero root in the given interval.
solve(double, double) - Method in interface org.apache.commons.math.analysis.UnivariateRealSolver
Solve for a zero root in the given interval.
solve(double, double, double) - Method in interface org.apache.commons.math.analysis.UnivariateRealSolver
Solve for a zero in the given interval, start at startValue.
solve(UnivariateRealFunction, double, double) - Static method in class org.apache.commons.math.analysis.UnivariateRealSolverUtils
Method to solve for zeros of real univariate functions.
solve(UnivariateRealFunction, double, double, double) - Static method in class org.apache.commons.math.analysis.UnivariateRealSolverUtils
Convience method to solve for zeros of real univariate functions.
solve(double[]) - Method in interface org.apache.commons.math.linear.RealMatrix
Returns the solution vector for a linear system with coefficient matrix = this and constant vector = b.
solve(RealMatrix) - Method in interface org.apache.commons.math.linear.RealMatrix
Returns a matrix of (column) solution vectors for linear systems with coefficient matrix = this and constant vectors = columns of b.
solve(double[]) - Method in class org.apache.commons.math.linear.RealMatrixImpl
 
solve(RealMatrix) - Method in class org.apache.commons.math.linear.RealMatrixImpl
Uses LU decomposition, performing the composition if the matrix has not been decomposed, or if there have been changes to the matrix since the last decomposition.
sqrt(Complex) - Static method in class org.apache.commons.math.complex.ComplexMath
 
sqrt1z(Complex) - Static method in class org.apache.commons.math.complex.ComplexMath
Returns the square root of 1 - z^2.
start() - Method in class org.apache.commons.math.util.ExpandableDoubleArray
Returns the starting index of the internal array.
start() - Method in class org.apache.commons.math.util.FixedDoubleArray
The starting index in the InternalArray.
startIndex - Variable in class org.apache.commons.math.util.ExpandableDoubleArray
Keeps track of a starting index
std - Variable in class org.apache.commons.math.stat.univariate.moment.StandardDeviation
 
subtract(Complex) - Method in class org.apache.commons.math.complex.Complex
Return the difference between this complex number and the given complex number.
subtract(RealMatrix) - Method in interface org.apache.commons.math.linear.RealMatrix
Compute this minus m.
subtract(RealMatrix) - Method in class org.apache.commons.math.linear.RealMatrixImpl
Compute this minus m.
sum - Variable in class org.apache.commons.math.stat.AbstractStorelessDescriptiveStatistics
sum of values that have been added
sum(double[]) - Static method in class org.apache.commons.math.stat.StatUtils
The sum of the values that have been added to Univariate.
sum(double[], int, int) - Static method in class org.apache.commons.math.stat.StatUtils
The sum of the values that have been added to Univariate.
sum - Variable in class org.apache.commons.math.stat.univariate.moment.Mean
 
sumLog - Variable in class org.apache.commons.math.stat.AbstractStorelessDescriptiveStatistics
sumLog of values that have been added
sumLog(double[]) - Static method in class org.apache.commons.math.stat.StatUtils
Returns the sum of the natural logs for this collection of values
sumLog(double[], int, int) - Static method in class org.apache.commons.math.stat.StatUtils
Returns the sum of the natural logs for this collection of values
sumSq(double[]) - Static method in class org.apache.commons.math.stat.StatUtils
Returns the sum of the squares of the available values.
sumSq(double[], int, int) - Static method in class org.apache.commons.math.stat.StatUtils
Returns the sum of the squares of the available values.
sumsq - Variable in class org.apache.commons.math.stat.AbstractStorelessDescriptiveStatistics
sum of the square of each value that has been added

T

TDistribution - interface org.apache.commons.math.distribution.TDistribution.
Student's t-Distribution.
TDistributionImpl - class org.apache.commons.math.distribution.TDistributionImpl.
Default implementation of TDistribution.
TDistributionImpl(double) - Constructor for class org.apache.commons.math.distribution.TDistributionImpl
Create a t distribution using the given degrees of freedom.
TestStatistic - interface org.apache.commons.math.stat.TestStatistic.
A collection of commonly used test statistics and statistical tests.
TestStatisticImpl - class org.apache.commons.math.stat.TestStatisticImpl.
Implements test statistics defined in the TestStatistic interface.
TestStatisticImpl() - Constructor for class org.apache.commons.math.stat.TestStatisticImpl
Default constructor
ThirdMoment - class org.apache.commons.math.stat.univariate.moment.ThirdMoment.
The ThirdMoment (arithmentic mean) is calculated using the following recursive strategy .
ThirdMoment() - Constructor for class org.apache.commons.math.stat.univariate.moment.ThirdMoment
 
TransformerMap - class org.apache.commons.math.util.TransformerMap.
This TansformerMap automates the transformation of of mixed object types.
TransformerMap() - Constructor for class org.apache.commons.math.util.TransformerMap
 
t(double, double[]) - Method in interface org.apache.commons.math.stat.TestStatistic
Computes a t statistic given observed values and a comparison constant.
t(double[], double[]) - Method in interface org.apache.commons.math.stat.TestStatistic
Computes a 2-sample t statistic , without the assumption of equal sample variances.
t(double, DescriptiveStatistics) - Method in interface org.apache.commons.math.stat.TestStatistic
Computes a t statistic to use in comparing the dataset described by sampleStats to mu.
t(DescriptiveStatistics, DescriptiveStatistics) - Method in interface org.apache.commons.math.stat.TestStatistic
Computes a 2-sample t statistic , comparing the datasets described by two Univariates without the assumption of equal sample variances.
t(double, double[]) - Method in class org.apache.commons.math.stat.TestStatisticImpl
 
t(double[], double[]) - Method in class org.apache.commons.math.stat.TestStatisticImpl
 
t(double, DescriptiveStatistics) - Method in class org.apache.commons.math.stat.TestStatisticImpl
 
t(DescriptiveStatistics, DescriptiveStatistics) - Method in class org.apache.commons.math.stat.TestStatisticImpl
 
tTest(double[], double[]) - Method in interface org.apache.commons.math.stat.TestStatistic
Returns the observed significance level, or p-value, associated with a two-sample, two-tailed t-test comparing the means of the input arrays.
tTest(double[], double[], double) - Method in interface org.apache.commons.math.stat.TestStatistic
Performs a two-sided t-test evaluating the null hypothesis that sample1 and sample2 are drawn from populations with the same mean, with significance level alpha.
tTest(double, double[], double) - Method in interface org.apache.commons.math.stat.TestStatistic
Performs a two-sided t-test evaluating the null hypothesis that the mean of the population from which sample is drawn equals mu.
tTest(double, double[]) - Method in interface org.apache.commons.math.stat.TestStatistic
Returns the observed significance level, or p-value, associated with a one-sample, two-tailed t-test comparing the mean of the input array with the constant mu.
tTest(DescriptiveStatistics, DescriptiveStatistics) - Method in interface org.apache.commons.math.stat.TestStatistic
Returns the observed significance level, or p-value, associated with a two-sample, two-tailed t-test comparing the means of the datasets described by two Univariates.
tTest(DescriptiveStatistics, DescriptiveStatistics, double) - Method in interface org.apache.commons.math.stat.TestStatistic
Performs a two-sided t-test evaluating the null hypothesis that sampleStats1 and sampleStats2 describe datasets drawn from populations with the same mean, with significance level alpha.
tTest(double, DescriptiveStatistics, double) - Method in interface org.apache.commons.math.stat.TestStatistic
Performs a two-sided t-test evaluating the null hypothesis that the mean of the population from which the dataset described by stats is drawn equals mu.
tTest(double, DescriptiveStatistics) - Method in interface org.apache.commons.math.stat.TestStatistic
Returns the observed significance level, or p-value, associated with a one-sample, two-tailed t-test comparing the mean of the dataset described by sampleStats with the constant mu.
tTest(double, double[], double) - Method in class org.apache.commons.math.stat.TestStatisticImpl
 
tTest(double[], double[]) - Method in class org.apache.commons.math.stat.TestStatisticImpl
 
tTest(double[], double[], double) - Method in class org.apache.commons.math.stat.TestStatisticImpl
 
tTest(double, double[]) - Method in class org.apache.commons.math.stat.TestStatisticImpl
 
tTest(DescriptiveStatistics, DescriptiveStatistics) - Method in class org.apache.commons.math.stat.TestStatisticImpl
 
tTest(DescriptiveStatistics, DescriptiveStatistics, double) - Method in class org.apache.commons.math.stat.TestStatisticImpl
 
tTest(double, DescriptiveStatistics, double) - Method in class org.apache.commons.math.stat.TestStatisticImpl
 
tTest(double, DescriptiveStatistics) - Method in class org.apache.commons.math.stat.TestStatisticImpl
 
tan(Complex) - Static method in class org.apache.commons.math.complex.ComplexMath
 
tanh(Complex) - Static method in class org.apache.commons.math.complex.ComplexMath
 
test(double[], int, int) - Method in class org.apache.commons.math.stat.univariate.AbstractUnivariateStatistic
this protected test method used by all methods to verify the content of the array and indicies are correct.
toString() - Method in class org.apache.commons.math.linear.RealMatrixImpl
 
toString() - Method in class org.apache.commons.math.stat.AbstractStorelessDescriptiveStatistics
Generates a text report displaying univariate statistics from values that have been added.
toString() - Method in class org.apache.commons.math.stat.Frequency
Return a string representation of describing this frequency distribution.
toString() - Method in class org.apache.commons.math.stat.StorelessDescriptiveStatisticsImpl
Generates a text report displaying univariate statistics from values that have been added.
transform(Object) - Method in class org.apache.commons.math.util.DefaultTransformer
 
transform(Object) - Method in interface org.apache.commons.math.util.NumberTransformer
Implementing this interface provides a facility to transform from Object to Double.
transform(Object) - Method in class org.apache.commons.math.util.TransformerMap
Attempts to transform the Object against the map of NumberTransformers.
transformers() - Method in class org.apache.commons.math.util.TransformerMap
Returns the Set of NumberTransformers used as values in the map.
transpose() - Method in interface org.apache.commons.math.linear.RealMatrix
Returns the transpose of this matrix.
transpose() - Method in class org.apache.commons.math.linear.RealMatrixImpl
 

U

UNIFORM_MODE - Static variable in class org.apache.commons.math.random.ValueServer
Uniform random deviates with mean = mu
UnivariateRealFunction - interface org.apache.commons.math.analysis.UnivariateRealFunction.
Provide an interface univariate real functions.
UnivariateRealInterpolator - interface org.apache.commons.math.analysis.UnivariateRealInterpolator.
Interface for interpolating a data set.
UnivariateRealSolver - interface org.apache.commons.math.analysis.UnivariateRealSolver.
Provide an interface to algorithms for solving for zeros of real univariate functions.
UnivariateRealSolverFactory - class org.apache.commons.math.analysis.UnivariateRealSolverFactory.
A factory to easily get a default solver and some convenience functions.
UnivariateRealSolverFactory() - Constructor for class org.apache.commons.math.analysis.UnivariateRealSolverFactory
Default constructor.
UnivariateRealSolverFactoryImpl - class org.apache.commons.math.analysis.UnivariateRealSolverFactoryImpl.
A factory to easily get a default solver and some convenience functions.
UnivariateRealSolverFactoryImpl() - Constructor for class org.apache.commons.math.analysis.UnivariateRealSolverFactoryImpl
Default constructor.
UnivariateRealSolverImpl - class org.apache.commons.math.analysis.UnivariateRealSolverImpl.
Provide a default implementation for several functions useful to generic solvers.
UnivariateRealSolverImpl(UnivariateRealFunction, int, double) - Constructor for class org.apache.commons.math.analysis.UnivariateRealSolverImpl
Construct a solver with given iteration count and accuracy.
UnivariateRealSolverUtils - class org.apache.commons.math.analysis.UnivariateRealSolverUtils.
Utility routines for UnivariateRealSolver objects.
UnivariateStatistic - interface org.apache.commons.math.stat.univariate.UnivariateStatistic.
UnivariateStatistic interface provides methods to evaluate double[] based content using an implemented statistical approach.

V

ValueServer - class org.apache.commons.math.random.ValueServer.
Generates values for use in simulation applications.
ValueServer() - Constructor for class org.apache.commons.math.random.ValueServer
Creates new ValueServer
Variance - class org.apache.commons.math.stat.univariate.moment.Variance.
 
Variance() - Constructor for class org.apache.commons.math.stat.univariate.moment.Variance
Constructs a Variance.
Variance(SecondMoment) - Constructor for class org.apache.commons.math.stat.univariate.moment.Variance
Constructs a Variance based on an externalized second moment.
v - Variable in class org.apache.commons.math.stat.univariate.moment.FirstMoment
temporary internal state made available for higher order moments
v2 - Variable in class org.apache.commons.math.stat.univariate.moment.ThirdMoment
temporary internal state made availabel for higher order moments
value(double) - Method in class org.apache.commons.math.analysis.CubicSplineFunction
Compute the value for the function.
value(double) - Method in class org.apache.commons.math.analysis.PolynomialFunction
Compute the value for the function.
value(double) - Method in interface org.apache.commons.math.analysis.UnivariateRealFunction
Compute the value for the function.
variance - Variable in class org.apache.commons.math.stat.AbstractStorelessDescriptiveStatistics
variance of values that have been added
variance(double[]) - Static method in class org.apache.commons.math.stat.StatUtils
Returns the variance of the available values.
variance(double[], int, int) - Static method in class org.apache.commons.math.stat.StatUtils
Returns the variance of the available values.
variance - Variable in class org.apache.commons.math.stat.univariate.moment.Variance
This property maintains the latest calculated variance for efficiency when getResult() is called many times between increments.

W

windowSize - Variable in class org.apache.commons.math.stat.AbstractStorelessDescriptiveStatistics
hold the window size

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

Copyright © 2003-2004 Apache Software Foundation. All Rights Reserved.