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# Serialized Form

Package org.apache.commons.math

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

serialVersionUID: -3657394299929217890l

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

serialVersionUID: -317289374378977972l

Serialized Fields

### argument

    double argument

  Argument causing function evaluation failure

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

serialVersionUID: -7958299004965931723l

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

serialVersionUID: -8594613561393443827l

Serialized Fields

### rootCause

    Throwable rootCause

  Root cause of the exception

Package org.apache.commons.math.analysis

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

serialVersionUID: 7137520585963699578l

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

serialVersionUID: 3350616277306882875l

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

serialVersionUID: 2606474895443431607l

Serialized Fields

### derivative

    UnivariateRealFunction derivative

  The first derivative of the target function.

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

serialVersionUID: 7011031166416885789l

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.SecantSolver extends UnivariateRealSolverImpl implements Serializable

serialVersionUID: 1984971194738974867l

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

serialVersionUID: -6530173849413811929l

Serialized Fields

### imaginary

    double imaginary

  The imaginary part.

### real

    double real

  The real part.

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

serialVersionUID: -6337346779577272306l

Serialized Fields

### imaginaryCharacter

    String imaginaryCharacter

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

### imaginaryFormat

    NumberFormat imaginaryFormat

  The format used for the imaginary part.

### realFormat

    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 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.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.PoissonDistributionImpl extends AbstractIntegerDistribution implements Serializable

serialVersionUID: -3349935121172596109l

Serialized Fields

### 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

Package org.apache.commons.math.linear

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

serialVersionUID: -1011428905656140431l

Serialized Fields

### data

    BigDecimal[][] data

  Entries of the matrix

### lu

    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 decompostion

### 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 RuntimeException implements Serializable

serialVersionUID: 5318837237354354107l

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

serialVersionUID: -1341109412864309526l

Class org.apache.commons.math.linear.RealMatrixImpl extends 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 decompostion

### parity

    int parity

  Parity of the permutation associated with the LU decomposition

Package org.apache.commons.math.random

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

serialVersionUID: -6773236347582113490l

Serialized Fields

### binStats

    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.RandomDataImpl extends Object implements Serializable

serialVersionUID: -626730818244969716l

Serialized Fields

### rand

    Random rand

  underlying random number generator

### secRand

    SecureRandom secRand

  underlying secure random number generator

Package org.apache.commons.math.special

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

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

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

Package org.apache.commons.math.stat

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

serialVersionUID: -3845586908418844111l

Serialized Fields

### freqTable

    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 Object implements Serializable

serialVersionUID: -8007759382851708045l

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

serialVersionUID: 5188298269533339922l

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

serialVersionUID: -1868088725461221010l

Serialized Fields

### windowSize

    int windowSize

  hold the window size

### eDA

    ResizableDoubleArray eDA

  Stored data values

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

serialVersionUID: -6400596334135654825l

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

serialVersionUID: 8787174276883311692l

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

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

    SumOfLogs 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.

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 Object implements Serializable

serialVersionUID: -3004689053607543335l

Serialized Fields

### 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.util

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

serialVersionUID: 1768555336266158242l

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

serialVersionUID: 4019938025047800455l

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

serialVersionUID: -942772950698439883l

Serialized Fields

### defaultTransformer

    NumberTransformer defaultTransformer

  A default Number Transformer for Numbers and numeric Strings.

### map

    Map map

  The internal Map.

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