Serialized Form

Package org.apache.commons.math

Class org.apache.commons.math.ArgumentOutsideDomainException extends FunctionEvaluationException implements Serializable

serialVersionUID: -4965972841162580234L

Class org.apache.commons.math.ConvergenceException extends MathException implements Serializable

serialVersionUID: 4380655778005469702L

Class org.apache.commons.math.DimensionMismatchException extends MathException implements Serializable

serialVersionUID: -1316089546353786411L

Serialized Fields

dimension1

int dimension1

First dimension.

dimension2

int dimension2

Second dimension.

Class org.apache.commons.math.DuplicateSampleAbscissaException extends MathException implements Serializable

serialVersionUID: -2271007547170169872L

Class org.apache.commons.math.FunctionEvaluationException extends MathException implements Serializable

serialVersionUID: -7619974756160279127L

Serialized Fields

argument

double argument

Argument causing function evaluation failure

Class org.apache.commons.math.MathConfigurationException extends MathException implements Serializable

serialVersionUID: -4056541384141349722L

Class org.apache.commons.math.MathException extends java.lang.Exception implements Serializable

serialVersionUID: -8602234299177097102L

Serialized Fields

pattern

java.lang.String pattern

Pattern used to build the message.

arguments

java.lang.Object[] arguments

Arguments used to build the message.

rootCause

java.lang.Throwable rootCause

Root cause of the exception

Class org.apache.commons.math.MaxIterationsExceededException extends ConvergenceException implements Serializable

serialVersionUID: -2154780004193976271L

Serialized Fields

maxIterations

int maxIterations

Maximal number of iterations allowed.

Package org.apache.commons.math.analysis

Class org.apache.commons.math.analysis.BisectionSolver extends UnivariateRealSolverImpl implements Serializable

serialVersionUID: 4963578633786538912L

Class org.apache.commons.math.analysis.BrentSolver extends UnivariateRealSolverImpl implements Serializable

serialVersionUID: -2136672307739067002L

Class org.apache.commons.math.analysis.DividedDifferenceInterpolator extends java.lang.Object implements Serializable

serialVersionUID: 107049519551235069L

Class org.apache.commons.math.analysis.LaguerreSolver extends UnivariateRealSolverImpl implements Serializable

serialVersionUID: -3775334783473775723L

Serialized Fields

p

PolynomialFunction p

polynomial function to solve

Class org.apache.commons.math.analysis.MullerSolver extends UnivariateRealSolverImpl implements Serializable

serialVersionUID: 6552227503458976920L

Class org.apache.commons.math.analysis.NevilleInterpolator extends java.lang.Object implements Serializable

serialVersionUID: 3003707660147873733L

Class org.apache.commons.math.analysis.NewtonSolver extends UnivariateRealSolverImpl implements Serializable

serialVersionUID: 2067325783137941016L

Serialization Methods

readObject

private void readObject(java.io.ObjectInputStream in)
                 throws java.io.IOException,
                        java.lang.ClassNotFoundException

Custom deserialization to initialize transient deriviate field.

Throws:

java.io.IOException - if IO error occurs

java.lang.ClassNotFoundException - if instantiation error occurs

Class org.apache.commons.math.analysis.PolynomialFunction extends java.lang.Object implements Serializable

serialVersionUID: 3322454535052136809L

Serialized Fields

coefficients

double[] coefficients

The coefficients of the polynomial, ordered by degree -- i.e., coefficients[0] is the constant term and coefficients[n] is the coefficient of x^n where n is the degree of the polynomial.

Class org.apache.commons.math.analysis.PolynomialFunctionLagrangeForm extends java.lang.Object implements Serializable

serialVersionUID: -3965199246151093920L

Serialized Fields

coefficients

double[] coefficients

The coefficients of the polynomial, ordered by degree -- i.e. coefficients[0] is the constant term and coefficients[n] is the coefficient of x^n where n is the degree of the polynomial.

x

double[] x

Interpolating points (abscissas) and the function values at these points.

y

double[] y

Interpolating points (abscissas) and the function values at these points.

coefficientsComputed

boolean coefficientsComputed

Whether the polynomial coefficients are available.

Class org.apache.commons.math.analysis.PolynomialFunctionNewtonForm extends java.lang.Object implements Serializable

serialVersionUID: -3353896576191389897L

Serialized Fields

coefficients

double[] coefficients

The coefficients of the polynomial, ordered by degree -- i.e. coefficients[0] is the constant term and coefficients[n] is the coefficient of x^n where n is the degree of the polynomial.

a

double[] a

Members of c[] are called centers of the Newton polynomial. When all c[i] = 0, a[] becomes normal polynomial coefficients, i.e. a[i] = coefficients[i].

c

double[] c

Members of c[] are called centers of the Newton polynomial. When all c[i] = 0, a[] becomes normal polynomial coefficients, i.e. a[i] = coefficients[i].

coefficientsComputed

boolean coefficientsComputed

Whether the polynomial coefficients are available.

Class org.apache.commons.math.analysis.PolynomialSplineFunction extends java.lang.Object implements Serializable

serialVersionUID: 1619940313389547244L

Serialized Fields

knots

double[] knots

Spline segment interval delimiters (knots). Size is n+1 for n segments.

polynomials

PolynomialFunction[] polynomials

The polynomial functions that make up the spline. The first element determines the value of the spline over the first subinterval, the second over the second, etc. Spline function values are determined by evaluating these functions at (x - knot[i]) where i is the knot segment to which x belongs.

n

int n

Number of spline segments = number of polynomials = number of partition points - 1

Class org.apache.commons.math.analysis.RiddersSolver extends UnivariateRealSolverImpl implements Serializable

serialVersionUID: -4703139035737911735L

Class org.apache.commons.math.analysis.RombergIntegrator extends UnivariateRealIntegratorImpl implements Serializable

serialVersionUID: -1058849527738180243L

Class org.apache.commons.math.analysis.SecantSolver extends UnivariateRealSolverImpl implements Serializable

serialVersionUID: 1984971194738974867L

Class org.apache.commons.math.analysis.SimpsonIntegrator extends UnivariateRealIntegratorImpl implements Serializable

serialVersionUID: 3405465123320678216L

Class org.apache.commons.math.analysis.TrapezoidIntegrator extends UnivariateRealIntegratorImpl implements Serializable

serialVersionUID: 4978222553983172543L

Serialized Fields

s

double s

intermediate result

Class org.apache.commons.math.analysis.UnivariateRealIntegratorImpl extends java.lang.Object implements Serializable

serialVersionUID: -3365294665201465048L

Serialized Fields

relativeAccuracy

double relativeAccuracy

maximum relative error

maximalIterationCount

int maximalIterationCount

maximum number of iterations

minimalIterationCount

int minimalIterationCount

minimum number of iterations

defaultRelativeAccuracy

double defaultRelativeAccuracy

default maximum relative error

defaultMaximalIterationCount

int defaultMaximalIterationCount

default maximum number of iterations

defaultMinimalIterationCount

int defaultMinimalIterationCount

default minimum number of iterations

resultComputed

boolean resultComputed

indicates whether an integral has been computed

result

double result

the last computed integral

iterationCount

int iterationCount

the last iteration count

f

UnivariateRealFunction f

the integrand function

Class org.apache.commons.math.analysis.UnivariateRealSolverImpl extends java.lang.Object implements Serializable

serialVersionUID: 1112491292565386596L

Serialized Fields

absoluteAccuracy

double absoluteAccuracy

Maximum absolute error.

relativeAccuracy

double relativeAccuracy

Maximum relative error.

functionValueAccuracy

double functionValueAccuracy

Maximum error of function.

maximalIterationCount

int maximalIterationCount

Maximum number of iterations.

defaultAbsoluteAccuracy

double defaultAbsoluteAccuracy

Default maximum absolute error.

defaultRelativeAccuracy

double defaultRelativeAccuracy

Default maximum relative error.

defaultFunctionValueAccuracy

double defaultFunctionValueAccuracy

Default maximum error of function.

defaultMaximalIterationCount

int defaultMaximalIterationCount

Default maximum number of iterations.

resultComputed

boolean resultComputed

Indicates where a root has been computed.

result

double result

The last computed root.

iterationCount

int iterationCount

The last iteration count.

f

UnivariateRealFunction f

The function to solve.

Package org.apache.commons.math.complex

Class org.apache.commons.math.complex.Complex extends java.lang.Object implements Serializable

serialVersionUID: -6530173849413811929L

Serialized Fields

imaginary

double imaginary

Deprecated. to be made final and private in 2.0

The imaginary part

real

double real

Deprecated. to be made final and private in 2.0

The real part

Class org.apache.commons.math.complex.ComplexFormat extends java.text.Format implements Serializable

serialVersionUID: -6337346779577272306L

Serialized Fields

imaginaryCharacter

java.lang.String imaginaryCharacter

The notation used to signify the imaginary part of the complex number.

imaginaryFormat

java.text.NumberFormat imaginaryFormat

The format used for the imaginary part.

realFormat

java.text.NumberFormat realFormat

The format used for the real part.

Package org.apache.commons.math.distribution

Class org.apache.commons.math.distribution.AbstractContinuousDistribution extends AbstractDistribution implements Serializable

serialVersionUID: -38038050983108802L

Class org.apache.commons.math.distribution.AbstractDistribution extends java.lang.Object implements Serializable

serialVersionUID: -38038050983108802L

Class org.apache.commons.math.distribution.AbstractIntegerDistribution extends AbstractDistribution implements Serializable

serialVersionUID: -1146319659338487221L

Class org.apache.commons.math.distribution.BinomialDistributionImpl extends AbstractIntegerDistribution implements Serializable

serialVersionUID: 6751309484392813623L

Serialized Fields

numberOfTrials

int numberOfTrials

The number of trials.

probabilityOfSuccess

double probabilityOfSuccess

The probability of success.

Class org.apache.commons.math.distribution.CauchyDistributionImpl extends AbstractContinuousDistribution implements Serializable

serialVersionUID: 8589540077390120676L

Serialized Fields

median

double median

The median of this distribution.

scale

double scale

The scale of this distribution.

Class org.apache.commons.math.distribution.ChiSquaredDistributionImpl extends AbstractContinuousDistribution implements Serializable

serialVersionUID: -8352658048349159782L

Serialized Fields

gamma

GammaDistribution gamma

Internal Gamma distribution.

Class org.apache.commons.math.distribution.ExponentialDistributionImpl extends AbstractContinuousDistribution implements Serializable

serialVersionUID: 2401296428283614780L

Serialized Fields

mean

double mean

The mean of this distribution.

Class org.apache.commons.math.distribution.FDistributionImpl extends AbstractContinuousDistribution implements Serializable

serialVersionUID: -8516354193418641566L

Serialized Fields

numeratorDegreesOfFreedom

double numeratorDegreesOfFreedom

The numerator degrees of freedom

denominatorDegreesOfFreedom

double denominatorDegreesOfFreedom

The numerator degrees of freedom

Class org.apache.commons.math.distribution.GammaDistributionImpl extends AbstractContinuousDistribution implements Serializable

serialVersionUID: -3239549463135430361L

Serialized Fields

alpha

double alpha

The shape parameter.

beta

double beta

The scale parameter.

Class org.apache.commons.math.distribution.HypergeometricDistributionImpl extends AbstractIntegerDistribution implements Serializable

serialVersionUID: -436928820673516179L

Serialized Fields

numberOfSuccesses

int numberOfSuccesses

The number of successes in the population.

populationSize

int populationSize

The population size.

sampleSize

int sampleSize

The sample size.

Class org.apache.commons.math.distribution.NormalDistributionImpl extends AbstractContinuousDistribution implements Serializable

serialVersionUID: 8589540077390120676L

Serialized Fields

mean

double mean

The mean of this distribution.

standardDeviation

double standardDeviation

The standard deviation of this distribution.

Class org.apache.commons.math.distribution.PascalDistributionImpl extends AbstractIntegerDistribution implements Serializable

serialVersionUID: 6751309484392813623L

Serialized Fields

numberOfSuccesses

int numberOfSuccesses

The number of successes

probabilityOfSuccess

double probabilityOfSuccess

The probability of success

Class org.apache.commons.math.distribution.PoissonDistributionImpl extends AbstractIntegerDistribution implements Serializable

serialVersionUID: -3349935121172596109L

Serialized Fields

normal

NormalDistribution normal

Distribution used to compute normal approximation.

mean

double mean

Holds the Poisson mean for the distribution.

Class org.apache.commons.math.distribution.TDistributionImpl extends AbstractContinuousDistribution implements Serializable

serialVersionUID: -5852615386664158222L

Serialized Fields

degreesOfFreedom

double degreesOfFreedom

The degrees of freedom

Class org.apache.commons.math.distribution.WeibullDistributionImpl extends AbstractContinuousDistribution implements Serializable

serialVersionUID: 8589540077390120676L

Serialized Fields

alpha

double alpha

The shape parameter.

beta

double beta

The scale parameter.

Package org.apache.commons.math.estimation

Class org.apache.commons.math.estimation.EstimatedParameter extends java.lang.Object implements Serializable

serialVersionUID: -555440800213416949L

Serialized Fields

name

java.lang.String name

Name of the parameter

estimate

double estimate

Current value of the parameter

bound

boolean bound

Indicator for bound parameters (ie parameters that should not be estimated)

Class org.apache.commons.math.estimation.EstimationException extends MathException implements Serializable

serialVersionUID: -573038581493881337L

Class org.apache.commons.math.estimation.GaussNewtonEstimator extends AbstractEstimator implements Serializable

serialVersionUID: 5485001826076289109L

Serialized Fields

steadyStateThreshold

double steadyStateThreshold

Threshold for cost steady state detection.

convergence

double convergence

Threshold for cost convergence.

Class org.apache.commons.math.estimation.LevenbergMarquardtEstimator extends AbstractEstimator implements Serializable

serialVersionUID: -5705952631533171019L

Serialized Fields

solvedCols

int solvedCols

Number of solved variables.

diagR

double[] diagR

Diagonal elements of the R matrix in the Q.R. decomposition.

jacNorm

double[] jacNorm

Norms of the columns of the jacobian matrix.

beta

double[] beta

Coefficients of the Householder transforms vectors.

permutation

int[] permutation

Columns permutation array.

rank

int rank

Rank of the jacobian matrix.

lmPar

double lmPar

Levenberg-Marquardt parameter.

lmDir

double[] lmDir

Parameters evolution direction associated with lmPar.

initialStepBoundFactor

double initialStepBoundFactor

Positive input variable used in determining the initial step bound.

costRelativeTolerance

double costRelativeTolerance

Desired relative error in the sum of squares.

parRelativeTolerance

double parRelativeTolerance

Desired relative error in the approximate solution parameters.

orthoTolerance

double orthoTolerance

Desired max cosine on the orthogonality between the function vector and the columns of the jacobian.

Class org.apache.commons.math.estimation.WeightedMeasurement extends java.lang.Object implements Serializable

Serialized Fields

weight

double weight

Measurement weight.

measuredValue

double measuredValue

Value of the measurements.

ignored

boolean ignored

Ignore measurement indicator.

Package org.apache.commons.math.fraction

Class org.apache.commons.math.fraction.Fraction extends java.lang.Number implements Serializable

serialVersionUID: -8958519416450949235L

Serialized Fields

denominator

int denominator

The denominator.

numerator

int numerator

The numerator.

Class org.apache.commons.math.fraction.FractionConversionException extends ConvergenceException implements Serializable

serialVersionUID: -4661812640132576263L

Class org.apache.commons.math.fraction.FractionFormat extends java.text.Format implements Serializable

serialVersionUID: -6337346779577272306L

Serialized Fields

denominatorFormat

java.text.NumberFormat denominatorFormat

The format used for the denominator.

numeratorFormat

java.text.NumberFormat numeratorFormat

The format used for the numerator.

Class org.apache.commons.math.fraction.ProperFractionFormat extends FractionFormat implements Serializable

serialVersionUID: -6337346779577272307L

Serialized Fields

wholeFormat

java.text.NumberFormat wholeFormat

The format used for the whole number.

Package org.apache.commons.math.geometry

Class org.apache.commons.math.geometry.CardanEulerSingularityException extends MathException implements Serializable

serialVersionUID: -1360952845582206770L

Class org.apache.commons.math.geometry.NotARotationMatrixException extends MathException implements Serializable

serialVersionUID: 5647178478658937642L

Class org.apache.commons.math.geometry.Rotation extends java.lang.Object implements Serializable

serialVersionUID: 8225864499430109352L

Serialized Fields

q0

double q0

Scalar coordinate of the quaternion.

q1

double q1

First coordinate of the vectorial part of the quaternion.

q2

double q2

Second coordinate of the vectorial part of the quaternion.

q3

double q3

Third coordinate of the vectorial part of the quaternion.

Class org.apache.commons.math.geometry.Vector3D extends java.lang.Object implements Serializable

serialVersionUID: -5721105387745193385L

Serialized Fields

x

double x

Abscissa.

y

double y

Ordinate.

z

double z

Height.

Package org.apache.commons.math.linear

Class org.apache.commons.math.linear.BigMatrixImpl extends java.lang.Object implements Serializable

serialVersionUID: -1011428905656140431L

Serialized Fields

data

java.math.BigDecimal[][] data

Entries of the matrix

lu

java.math.BigDecimal[][] lu

Entries of cached LU decomposition. All updates to data (other than luDecompose()) *must* set this to null

permutation

int[] permutation

Permutation associated with LU decomposition

parity

int parity

Parity of the permutation associated with the LU decomposition

roundingMode

int roundingMode

Rounding mode for divisions

scale

int scale

BigDecimal scale

Class org.apache.commons.math.linear.InvalidMatrixException extends java.lang.RuntimeException implements Serializable

serialVersionUID: 5318837237354354107L

Class org.apache.commons.math.linear.MatrixIndexException extends java.lang.RuntimeException implements Serializable

serialVersionUID: -1341109412864309526L

Class org.apache.commons.math.linear.RealMatrixImpl extends java.lang.Object implements Serializable

serialVersionUID: 4237564493130426188L

Serialized Fields

data

double[][] data

Entries of the matrix

lu

double[][] lu

Entries of cached LU decomposition. All updates to data (other than luDecompose()) *must* set this to null

permutation

int[] permutation

Permutation associated with LU decomposition

parity

int parity

Parity of the permutation associated with the LU decomposition

Package org.apache.commons.math.ode

Class org.apache.commons.math.ode.AbstractStepInterpolator extends java.lang.Object implements Serializable

Serialization Methods

readExternal

public abstract void readExternal(java.io.ObjectInput in)
                           throws java.io.IOException

Read the instance from an input channel.

Throws:

java.io.IOException - if the instance cannot be read

writeExternal

public abstract void writeExternal(java.io.ObjectOutput out)
                            throws java.io.IOException

Write the instance to an output channel.

Throws:

java.io.IOException - if the instance cannot be written

Class org.apache.commons.math.ode.ContinuousOutputModel extends java.lang.Object implements Serializable

serialVersionUID: 2259286184268533249L

Serialized Fields

initialTime

double initialTime

Initial integration time.

finalTime

double finalTime

Final integration time.

forward

boolean forward

Integration direction indicator.

index

int index

Current interpolator index.

steps

java.util.ArrayList steps

Steps table.

Class org.apache.commons.math.ode.DerivativeException extends MathException implements Serializable

serialVersionUID: -4100440615830558122L

Class org.apache.commons.math.ode.DummyStepHandler extends java.lang.Object implements Serializable

serialVersionUID: 2731635121223090252L

Class org.apache.commons.math.ode.DummyStepInterpolator extends AbstractStepInterpolator implements Serializable

serialVersionUID: 1708010296707839488L

Serialization Methods

readExternal

public void readExternal(java.io.ObjectInput in)
                  throws java.io.IOException

Read the instance from an input channel.

Throws:

java.io.IOException - if the instance cannot be read

writeExternal

public void writeExternal(java.io.ObjectOutput out)
                   throws java.io.IOException

Write the instance to an output channel.

Throws:

java.io.IOException - if the instance cannot be written

Class org.apache.commons.math.ode.IntegratorException extends MathException implements Serializable

serialVersionUID: -1215318282266670558L

Package org.apache.commons.math.optimization

Class org.apache.commons.math.optimization.CostException extends MathException implements Serializable

serialVersionUID: 467695563268795689L

Package org.apache.commons.math.random

Class org.apache.commons.math.random.AbstractRandomGenerator extends java.lang.Object implements Serializable

Serialized Fields

cachedNormalDeviate

double cachedNormalDeviate

Cached random normal value. The default implementation for AbstractRandomGenerator.nextGaussian() generates pairs of values and this field caches the second value so that the full algorithm is not executed for every activation. The value Double.NaN signals that there is no cached value. Use AbstractRandomGenerator.clear() to clear the cached value.

Class org.apache.commons.math.random.EmpiricalDistributionImpl extends java.lang.Object implements Serializable

serialVersionUID: -6773236347582113490L

Serialized Fields

binStats

java.util.ArrayList binStats

List of SummaryStatistics objects characterizing the bins

sampleStats

SummaryStatistics sampleStats

Sample statistics

binCount

int binCount

number of bins

loaded

boolean loaded

is the distribution loaded?

upperBounds

double[] upperBounds

upper bounds of subintervals in (0,1) "belonging" to the bins

randomData

RandomData randomData

RandomData instance to use in repeated calls to getNext()

Class org.apache.commons.math.random.JDKRandomGenerator extends java.util.Random implements Serializable

serialVersionUID: -3561898582944940550L

Class org.apache.commons.math.random.NotPositiveDefiniteMatrixException extends MathException implements Serializable

serialVersionUID: 4122929125438624648L

Class org.apache.commons.math.random.RandomAdaptor extends java.util.Random implements Serializable

serialVersionUID: 2570805822599485047L

Serialized Fields

randomGenerator

RandomGenerator randomGenerator

Wrapped randomGenerator instance

Class org.apache.commons.math.random.RandomDataImpl extends java.lang.Object implements Serializable

serialVersionUID: -626730818244969716L

Serialized Fields

rand

RandomGenerator rand

underlying random number generator

secRand

java.security.SecureRandom secRand

underlying secure random number generator

Package org.apache.commons.math.special

Class org.apache.commons.math.special.Beta extends java.lang.Object implements Serializable

serialVersionUID: -3833485397404128220L

Class org.apache.commons.math.special.Erf extends java.lang.Object implements Serializable

serialVersionUID: 490960015010326571L

Class org.apache.commons.math.special.Gamma extends java.lang.Object implements Serializable

serialVersionUID: -6587513359895466954L

Package org.apache.commons.math.stat

Class org.apache.commons.math.stat.Frequency extends java.lang.Object implements Serializable

serialVersionUID: -3845586908418844111L

Serialized Fields

freqTable

java.util.TreeMap freqTable

underlying collection

Package org.apache.commons.math.stat.descriptive

Class org.apache.commons.math.stat.descriptive.AbstractStorelessUnivariateStatistic extends AbstractUnivariateStatistic implements Serializable

serialVersionUID: -44915725420072521L

Class org.apache.commons.math.stat.descriptive.AbstractUnivariateStatistic extends java.lang.Object implements Serializable

serialVersionUID: -8007759382851708045L

Class org.apache.commons.math.stat.descriptive.DescriptiveStatistics extends java.lang.Object implements Serializable

serialVersionUID: -2734185686570407433L

Serialized Fields

windowSize

int windowSize

hold the window size

eDA

ResizableDoubleArray eDA

Stored data values

meanImpl

UnivariateStatistic meanImpl

Mean statistic implementation - can be reset by setter.

geometricMeanImpl

UnivariateStatistic geometricMeanImpl

Geometric mean statistic implementation - can be reset by setter.

kurtosisImpl

UnivariateStatistic kurtosisImpl

Kurtosis statistic implementation - can be reset by setter.

maxImpl

UnivariateStatistic maxImpl

Maximum statistic implementation - can be reset by setter.

minImpl

UnivariateStatistic minImpl

Minimum statistic implementation - can be reset by setter.

percentileImpl

UnivariateStatistic percentileImpl

Percentile statistic implementation - can be reset by setter.

skewnessImpl

UnivariateStatistic skewnessImpl

Skewness statistic implementation - can be reset by setter.

varianceImpl

UnivariateStatistic varianceImpl

Variance statistic implementation - can be reset by setter.

sumsqImpl

UnivariateStatistic sumsqImpl

Sum of squares statistic implementation - can be reset by setter.

sumImpl

UnivariateStatistic sumImpl

Sum statistic implementation - can be reset by setter.

Class org.apache.commons.math.stat.descriptive.DescriptiveStatisticsImpl extends DescriptiveStatistics implements Serializable

serialVersionUID: -6467796944112488424L

Class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics extends java.lang.Object implements Serializable

serialVersionUID: 2271900808994826718L

Serialized Fields

k

int k

Dimension of the data.

n

long n

Count of values that have been added

sumImpl

StorelessUnivariateStatistic[] sumImpl

Sum statistic implementation - can be reset by setter.

sumSqImpl

StorelessUnivariateStatistic[] sumSqImpl

Sum of squares statistic implementation - can be reset by setter.

minImpl

StorelessUnivariateStatistic[] minImpl

Minimum statistic implementation - can be reset by setter.

maxImpl

StorelessUnivariateStatistic[] maxImpl

Maximum statistic implementation - can be reset by setter.

sumLogImpl

StorelessUnivariateStatistic[] sumLogImpl

Sum of log statistic implementation - can be reset by setter.

geoMeanImpl

StorelessUnivariateStatistic[] geoMeanImpl

Geometric mean statistic implementation - can be reset by setter.

meanImpl

StorelessUnivariateStatistic[] meanImpl

Mean statistic implementation - can be reset by setter.

covarianceImpl

VectorialCovariance covarianceImpl

Covariance statistic implementation - cannot be reset.

Class org.apache.commons.math.stat.descriptive.StatisticalSummaryValues extends java.lang.Object implements Serializable

serialVersionUID: -5108854841843722536L

Serialized Fields

mean

double mean

The sample mean

variance

double variance

The sample variance

n

long n

The number of observations in the sample

max

double max

The maximum value

min

double min

The minimum value

sum

double sum

The sum of the sample values

Class org.apache.commons.math.stat.descriptive.SummaryStatistics extends java.lang.Object implements Serializable

serialVersionUID: -3346512372447011854L

Serialized Fields

n

long n

count of values that have been added

secondMoment

SecondMoment secondMoment

SecondMoment is used to compute the mean and variance

sum

Sum sum

sum of values that have been added

sumsq

SumOfSquares sumsq

sum of the square of each value that has been added

min

Min min

min of values that have been added

max

Max max

max of values that have been added

sumLog

SumOfLogs sumLog

sumLog of values that have been added

geoMean

GeometricMean geoMean

geoMean of values that have been added

mean

Mean mean

mean of values that have been added

variance

Variance variance

variance of values that have been added

sumImpl

StorelessUnivariateStatistic sumImpl

Sum statistic implementation - can be reset by setter.

sumsqImpl

StorelessUnivariateStatistic sumsqImpl

Sum of squares statistic implementation - can be reset by setter.

minImpl

StorelessUnivariateStatistic minImpl

Minimum statistic implementation - can be reset by setter.

maxImpl

StorelessUnivariateStatistic maxImpl

Maximum statistic implementation - can be reset by setter.

sumLogImpl

StorelessUnivariateStatistic sumLogImpl

Sum of log statistic implementation - can be reset by setter.

geoMeanImpl

StorelessUnivariateStatistic geoMeanImpl

Geometric mean statistic implementation - can be reset by setter.

meanImpl

StorelessUnivariateStatistic meanImpl

Mean statistic implementation - can be reset by setter.

varianceImpl

StorelessUnivariateStatistic varianceImpl

Variance statistic implementation - can be reset by setter.

Class org.apache.commons.math.stat.descriptive.SummaryStatisticsImpl extends SummaryStatistics implements Serializable

serialVersionUID: 8528794411480425963L

Class org.apache.commons.math.stat.descriptive.SynchronizedDescriptiveStatistics extends DescriptiveStatistics implements Serializable

serialVersionUID: 1L

Class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics extends MultivariateSummaryStatistics implements Serializable

serialVersionUID: 7099834153347155363L

Class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics extends SummaryStatistics implements Serializable

serialVersionUID: 1909861009042253704L

Package org.apache.commons.math.stat.descriptive.moment

Class org.apache.commons.math.stat.descriptive.moment.FirstMoment extends AbstractStorelessUnivariateStatistic implements Serializable

serialVersionUID: -803343206421984070L

Serialized Fields

n

long n

Count of values that have been added

m1

double m1

First moment of values that have been added

dev

double dev

Deviation of most recently added value from previous first moment. Retained to prevent repeated computation in higher order moments.

nDev

double nDev

Deviation of most recently added value from previous first moment, normalized by previous sample size. Retained to prevent repeated computation in higher order moments

Class org.apache.commons.math.stat.descriptive.moment.FourthMoment extends ThirdMoment implements Serializable

serialVersionUID: 4763990447117157611L

Serialized Fields

m4

double m4

fourth moment of values that have been added

Class org.apache.commons.math.stat.descriptive.moment.GeometricMean extends AbstractStorelessUnivariateStatistic implements Serializable

serialVersionUID: -8178734905303459453L

Serialized Fields

sumOfLogs

StorelessUnivariateStatistic sumOfLogs

Wrapped SumOfLogs instance

Class org.apache.commons.math.stat.descriptive.moment.Kurtosis extends AbstractStorelessUnivariateStatistic implements Serializable

serialVersionUID: 2784465764798260919L

Serialized Fields

moment

FourthMoment moment

Fourth Moment on which this statistic is based

incMoment

boolean incMoment

Determines whether or not this statistic can be incremented or cleared.

Statistics based on (constructed from) external moments cannot be incremented or cleared.

Class org.apache.commons.math.stat.descriptive.moment.Mean extends AbstractStorelessUnivariateStatistic implements Serializable

serialVersionUID: -1296043746617791564L

Serialized Fields

moment

FirstMoment moment

First moment on which this statistic is based.

incMoment

boolean incMoment

Determines whether or not this statistic can be incremented or cleared.

Statistics based on (constructed from) external moments cannot be incremented or cleared.

Class org.apache.commons.math.stat.descriptive.moment.SecondMoment extends FirstMoment implements Serializable

serialVersionUID: 3942403127395076445L

Serialized Fields

m2

double m2

second moment of values that have been added

Class org.apache.commons.math.stat.descriptive.moment.Skewness extends AbstractStorelessUnivariateStatistic implements Serializable

serialVersionUID: 7101857578996691352L

Serialized Fields

moment

ThirdMoment moment

Third moment on which this statistic is based

incMoment

boolean incMoment

Determines whether or not this statistic can be incremented or cleared.

Statistics based on (constructed from) external moments cannot be incremented or cleared.

Class org.apache.commons.math.stat.descriptive.moment.StandardDeviation extends AbstractStorelessUnivariateStatistic implements Serializable

serialVersionUID: 5728716329662425188L

Serialized Fields

variance

Variance variance

Wrapped Variance instance

Class org.apache.commons.math.stat.descriptive.moment.ThirdMoment extends SecondMoment implements Serializable

serialVersionUID: -7818711964045118679L

Serialized Fields

m3

double m3

third moment of values that have been added

nDevSq

double nDevSq

Square of deviation of most recently added value from previous first moment, normalized by previous sample size. Retained to prevent repeated computation in higher order moments. nDevSq = nDev * nDev.

Class org.apache.commons.math.stat.descriptive.moment.Variance extends AbstractStorelessUnivariateStatistic implements Serializable

serialVersionUID: -9111962718267217978L

Serialized Fields

moment

SecondMoment moment

SecondMoment is used in incremental calculation of Variance

incMoment

boolean incMoment

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.

isBiasCorrected

boolean isBiasCorrected

Determines whether or not bias correction is applied when computing the value of the statisic. True means that bias is corrected. See Variance for details on the formula.

Class org.apache.commons.math.stat.descriptive.moment.VectorialCovariance extends java.lang.Object implements Serializable

serialVersionUID: 4118372414238930270L

Serialized Fields

sums

double[] sums

Sums for each component.

productsSums

double[] productsSums

Sums of products for each component.

isBiasCorrected

boolean isBiasCorrected

Indicator for bias correction.

n

long n

Number of vectors in the sample.

Class org.apache.commons.math.stat.descriptive.moment.VectorialMean extends java.lang.Object implements Serializable

serialVersionUID: 8223009086481006892L

Serialized Fields

means

Mean[] means

Means for each component.

Package org.apache.commons.math.stat.descriptive.rank

Class org.apache.commons.math.stat.descriptive.rank.Max extends AbstractStorelessUnivariateStatistic implements Serializable

serialVersionUID: -5593383832225844641L

Serialized Fields

n

long n

Number of values that have been added

value

double value

Current value of the statistic

Class org.apache.commons.math.stat.descriptive.rank.Median extends Percentile implements Serializable

serialVersionUID: -3961477041290915687L

Class org.apache.commons.math.stat.descriptive.rank.Min extends AbstractStorelessUnivariateStatistic implements Serializable

serialVersionUID: -2941995784909003131L

Serialized Fields

n

long n

Number of values that have been added

value

double value

Current value of the statistic

Class org.apache.commons.math.stat.descriptive.rank.Percentile extends AbstractUnivariateStatistic implements Serializable

serialVersionUID: -8091216485095130416L

Serialized Fields

quantile

double quantile

Determines what percentile is computed when evaluate() is activated with no quantile argument

Package org.apache.commons.math.stat.descriptive.summary

Class org.apache.commons.math.stat.descriptive.summary.Product extends AbstractStorelessUnivariateStatistic implements Serializable

serialVersionUID: 2824226005990582538L

Serialized Fields

n

long n

The number of values that have been added

value

double value

The current Running Product.

Class org.apache.commons.math.stat.descriptive.summary.Sum extends AbstractStorelessUnivariateStatistic implements Serializable

serialVersionUID: -8231831954703408316L

Serialized Fields

n

long n

value

double value

The currently running sum.

Class org.apache.commons.math.stat.descriptive.summary.SumOfLogs extends AbstractStorelessUnivariateStatistic implements Serializable

serialVersionUID: -370076995648386763L

Serialized Fields

n

int n

Number of values that have been added

value

double value

The currently running value

Class org.apache.commons.math.stat.descriptive.summary.SumOfSquares extends AbstractStorelessUnivariateStatistic implements Serializable

serialVersionUID: 1460986908574398008L

Serialized Fields

n

long n

value

double value

The currently running sumSq

Package org.apache.commons.math.stat.regression

Class org.apache.commons.math.stat.regression.SimpleRegression extends java.lang.Object implements Serializable

serialVersionUID: -3004689053607543335L

Serialized Fields

distribution

TDistribution distribution

the distribution used to compute inference statistics.

sumX

double sumX

sum of x values

sumXX

double sumXX

total variation in x (sum of squared deviations from xbar)

sumY

double sumY

sum of y values

sumYY

double sumYY

total variation in y (sum of squared deviations from ybar)

sumXY

double sumXY

sum of products

n

long n

number of observations

xbar

double xbar

mean of accumulated x values, used in updating formulas

ybar

double ybar

mean of accumulated y values, used in updating formulas

Package org.apache.commons.math.transform

Class org.apache.commons.math.transform.FastCosineTransformer extends java.lang.Object implements Serializable

serialVersionUID: -7673941545134707766L

Class org.apache.commons.math.transform.FastFourierTransformer extends java.lang.Object implements Serializable

serialVersionUID: 5138259215438106000L

Serialized Fields

omega

Complex[] omega

array of the roots of unity

omegaCount

int omegaCount

|omegaCount| is the length of lasted computed omega[]. omegaCount is positive for forward transform and negative for inverse transform.

Class org.apache.commons.math.transform.FastSineTransformer extends java.lang.Object implements Serializable

serialVersionUID: -478002039949390854L

Package org.apache.commons.math.util

Class org.apache.commons.math.util.ContinuedFraction extends java.lang.Object implements Serializable

serialVersionUID: 1768555336266158242L

Class org.apache.commons.math.util.DefaultTransformer extends java.lang.Object implements Serializable

serialVersionUID: 4019938025047800455L

Class org.apache.commons.math.util.ResizableDoubleArray extends java.lang.Object implements Serializable

serialVersionUID: -3485529955529426875L

Serialized Fields

contractionCriteria

float contractionCriteria

The contraction criteria determines when the internal array will be contracted to fit the number of elements contained in the element array + 1.

expansionFactor

float expansionFactor

The expansion factor of the array. When the array needs to be expanded, the new array size will be internalArray.length * expansionFactor if expansionMode is set to MULTIPLICATIVE_MODE, or internalArray.length + expansionFactor if expansionMode is set to ADDITIVE_MODE.

expansionMode

int expansionMode

Determines whether array expansion by expansionFactor is additive or multiplicative.

initialCapacity

int initialCapacity

The initial capacity of the array. Initial capacity is not exposed as a property as it is only meaningful when passed to a constructor.

internalArray

double[] internalArray

The internal storage array.

numElements

int numElements

The number of addressable elements in the array. Note that this has nothing to do with the length of the internal storage array.

startIndex

int startIndex

The position of the first addressable element in the internal storage array. The addressable elements in the array are internalArray[startIndex],...,internalArray[startIndex + numElements -1]

Class org.apache.commons.math.util.TransformerMap extends java.lang.Object implements Serializable

serialVersionUID: -942772950698439883L

Serialized Fields

defaultTransformer

NumberTransformer defaultTransformer

A default Number Transformer for Numbers and numeric Strings.

map

java.util.Map map

The internal Map.