Serialized Form

serialVersionUID: 20120730L

writeReplace

private Object writeReplace()

Replace the instance with a data transfer object for serialization.

data

double[] data

Combined array holding all values.

serialVersionUID: 20120917L

nbPoints

int nbPoints

Number of points to use.

stepSize

double stepSize

Step size.

halfSampleSpan

double halfSampleSpan

Half sample span.

tMin

double tMin

Lower bound for independent variable.

tMax

double tMax

Upper bound for independent variable.

serialVersionUID: 107049519551235069L

serialVersionUID: 5204927143605193821L

bandwidth

double bandwidth

The bandwidth parameter: when computing the loess fit at a particular point, this fraction of source points closest to the current point is taken into account for computing a least-squares regression.

A sensible value is usually 0.25 to 0.5.

robustnessIters

int robustnessIters

The number of robustness iterations parameter: this many robustness iterations are done.

A sensible value is usually 0 (just the initial fit without any robustness iterations) to 4.

accuracy

double accuracy

If the median residual at a certain robustness iteration is less than this amount, no more iterations are done.

serialVersionUID: 3003707660147873733L

serialVersionUID: -7726511984200295583L

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.

serialVersionUID: -6195664516687396620L

readResolve

protected final Object readResolve()

Resolve the transient fields in a deserialized Complex Object. Subclasses will need to override Complex.createComplex(double, double) to deserialize properly.

Since:

2.0

imaginary

double imaginary

The imaginary part.

real

double real

The real part.

serialVersionUID: -6130362688700788798L

readResolve

private Object readResolve()

Handle deserialization of the singleton.

serialVersionUID: 20092012L

q0

double q0

First component (scalar part).

q1

double q1

Second component (first vector part).

q2

double q2

Third component (second vector part).

q3

double q3

Fourth component (third vector part).

serialVersionUID: 20120201L

omegaCount

int omegaCount

Number of roots of unity.

omegaReal

double[] omegaReal

Real part of the roots.

omegaImaginaryCounterClockwise

double[] omegaImaginaryCounterClockwise

Imaginary part of the n-th roots of unity, for positive values of n. In this array, the roots are stored in counter-clockwise order.

omegaImaginaryClockwise

double[] omegaImaginaryClockwise

Imaginary part of the n-th roots of unity, for negative values of n. In this array, the roots are stored in clockwise order.

isCounterClockWise

boolean isCounterClockWise

true if RootsOfUnity.computeRoots(int) was called with a positive value of its argument n. In this case, counter-clockwise ordering of the roots of unity should be used.

serialVersionUID: -1146319659338487221L

randomData

RandomDataImpl randomData

Deprecated. As of 3.1, to be removed in 4.0. Please use the AbstractIntegerDistribution.random instance variable instead.

RandomData instance used to generate samples from the distribution.

random

RandomGenerator random

RNG instance used to generate samples from the distribution.

Since:

3.1

serialVersionUID: -38038050983108802L

randomData

RandomDataImpl randomData

Deprecated. As of 3.1, to be removed in 4.0. Please use the AbstractRealDistribution.random instance variable instead.

RandomData instance used to generate samples from the distribution.

random

RandomGenerator random

RNG instance used to generate samples from the distribution.

Since:

3.1

solverAbsoluteAccuracy

double solverAbsoluteAccuracy

Solver absolute accuracy for inverse cumulative computation

serialVersionUID: -1221965979403477668L

alpha

double alpha

First shape parameter.

beta

double beta

Second shape parameter.

z

double z

Normalizing factor used in density computations. updated whenever alpha or beta are changed.

solverAbsoluteAccuracy

double solverAbsoluteAccuracy

Inverse cumulative probability accuracy.

serialVersionUID: 6751309484392813623L

numberOfTrials

int numberOfTrials

The number of trials.

probabilityOfSuccess

double probabilityOfSuccess

The probability of success.

serialVersionUID: 8589540077390120676L

median

double median

The median of this distribution.

scale

double scale

The scale of this distribution.

solverAbsoluteAccuracy

double solverAbsoluteAccuracy

Inverse cumulative probability accuracy

serialVersionUID: -8352658048349159782L

gamma

GammaDistribution gamma

Internal Gamma distribution.

solverAbsoluteAccuracy

double solverAbsoluteAccuracy

Inverse cumulative probability accuracy

serialVersionUID: 20123308L

random

RandomGenerator random

RNG instance used to generate samples from the distribution.

singletons

List<E> singletons

List of random variable values.

probabilities

double[] probabilities

Probabilities of respective random variable values. For i = 0, ..., singletons.size() - 1, probability[i] is the probability that a random variable following this distribution takes the value singletons[i].

serialVersionUID: 20130308L

innerDistribution

EnumeratedDistribution<T> innerDistribution

EnumeratedDistribution instance (using the Integer wrapper) used to generate the pmf.

serialVersionUID: 20130308L

innerDistribution

EnumeratedDistribution<T> innerDistribution

EnumeratedDistribution (using the Double wrapper) used to generate the pmf.

serialVersionUID: 2401296428283614780L

mean

double mean

The mean of this distribution.

solverAbsoluteAccuracy

double solverAbsoluteAccuracy

Inverse cumulative probability accuracy.

serialVersionUID: -8516354193418641566L

numeratorDegreesOfFreedom

double numeratorDegreesOfFreedom

The numerator degrees of freedom.

denominatorDegreesOfFreedom

double denominatorDegreesOfFreedom

The numerator degrees of freedom.

solverAbsoluteAccuracy

double solverAbsoluteAccuracy

Inverse cumulative probability accuracy.

numericalVariance

double numericalVariance

Cached numerical variance

numericalVarianceIsCalculated

boolean numericalVarianceIsCalculated

Whether or not the numerical variance has been calculated

serialVersionUID: 20120524L

shape

double shape

The shape parameter.

scale

double scale

The scale parameter.

shiftedShape

double shiftedShape

The constant value of shape + g + 0.5, where g is the Lanczos constant Gamma.LANCZOS_G.

densityPrefactor1

double densityPrefactor1

The constant value of shape / scale * sqrt(e / (2 * pi * (shape + g + 0.5))) / L(shape), where L(shape) is the Lanczos approximation returned by Gamma.lanczos(double). This prefactor is used in GammaDistribution.density(double), when no overflow occurs with the natural calculation.

densityPrefactor2

double densityPrefactor2

The constant value of shape * sqrt(e / (2 * pi * (shape + g + 0.5))) / L(shape), where L(shape) is the Lanczos approximation returned by Gamma.lanczos(double). This prefactor is used in GammaDistribution.density(double), when overflow occurs with the natural calculation.

minY

double minY

Lower bound on y = x / scale for the selection of the computation method in GammaDistribution.density(double). For y <= minY, the natural calculation overflows.

maxLogY

double maxLogY

Upper bound on log(y) (y = x / scale) for the selection of the computation method in GammaDistribution.density(double). For log(y) >= maxLogY, the natural calculation overflows.

solverAbsoluteAccuracy

double solverAbsoluteAccuracy

Inverse cumulative probability accuracy.

serialVersionUID: -436928820673516179L

numberOfSuccesses

int numberOfSuccesses

The number of successes in the population.

populationSize

int populationSize

The population size.

sampleSize

int sampleSize

The sample size.

numericalVariance

double numericalVariance

Cached numerical variance

numericalVarianceIsCalculated

boolean numericalVarianceIsCalculated

Whether or not the numerical variance has been calculated

serialVersionUID: -4670676796862967187L

n

int n

Number of observations.

serialVersionUID: 20130314L

mu

double mu

Location parameter.

c

double c

Scale parameter.

halfC

double halfC

Half of c (for calculations).

serialVersionUID: 20120112L

scale

double scale

The scale parameter of this distribution.

shape

double shape

The shape parameter of this distribution.

solverAbsoluteAccuracy

double solverAbsoluteAccuracy

Inverse cumulative probability accuracy.

serialVersionUID: 8589540077390120676L

mean

double mean

Mean of this distribution.

standardDeviation

double standardDeviation

Standard deviation of this distribution.

solverAbsoluteAccuracy

double solverAbsoluteAccuracy

Inverse cumulative probability accuracy.

serialVersionUID: 6751309484392813623L

numberOfSuccesses

int numberOfSuccesses

The number of successes.

probabilityOfSuccess

double probabilityOfSuccess

The probability of success.

serialVersionUID: -3349935121172596109L

normal

NormalDistribution normal

Distribution used to compute normal approximation.

exponential

ExponentialDistribution exponential

Distribution needed for the PoissonDistribution.sample() method.

mean

double mean

Mean of the distribution.

maxIterations

int maxIterations

Maximum number of iterations for cumulative probability. Cumulative probabilities are estimated using either Lanczos series approximation of Gamma.regularizedGammaP(double, double, double, int) or continued fraction approximation of Gamma.regularizedGammaQ(double, double, double, int).

epsilon

double epsilon

Convergence criterion for cumulative probability.

serialVersionUID: -5852615386664158222L

degreesOfFreedom

double degreesOfFreedom

The degrees of freedom.

solverAbsoluteAccuracy

double solverAbsoluteAccuracy

Inverse cumulative probability accuracy.

serialVersionUID: 20120112L

a

double a

Lower limit of this distribution (inclusive).

b

double b

Upper limit of this distribution (inclusive).

c

double c

Mode of this distribution.

solverAbsoluteAccuracy

double solverAbsoluteAccuracy

Inverse cumulative probability accuracy.

serialVersionUID: 20120109L

lower

int lower

Lower bound (inclusive) of this distribution.

upper

int upper

Upper bound (inclusive) of this distribution.

serialVersionUID: 20120109L

lower

double lower

Lower bound of this distribution (inclusive).

upper

double upper

Upper bound of this distribution (exclusive).

serialVersionUID: 8589540077390120676L

shape

double shape

The shape parameter.

scale

double scale

The scale parameter.

solverAbsoluteAccuracy

double solverAbsoluteAccuracy

Inverse cumulative probability accuracy.

numericalMean

double numericalMean

Cached numerical mean

numericalMeanIsCalculated

boolean numericalMeanIsCalculated

Whether or not the numerical mean has been calculated

numericalVariance

double numericalVariance

Cached numerical variance

numericalVarianceIsCalculated

boolean numericalVarianceIsCalculated

Whether or not the numerical variance has been calculated

serialVersionUID: -140627372283420404L

numberOfElements

int numberOfElements

Number of elements.

exponent

double exponent

Exponent parameter of the distribution.

numericalMean

double numericalMean

Cached numerical mean

numericalMeanIsCalculated

boolean numericalMeanIsCalculated

Whether or not the numerical mean has been calculated

numericalVariance

double numericalVariance

Cached numerical variance

numericalVarianceIsCalculated

boolean numericalVarianceIsCalculated

Whether or not the numerical variance has been calculated

serialVersionUID: 4330003017885151975L

serialVersionUID: -8415396756375798143L

dimension

int dimension

Correct dimension.

serialVersionUID: -6024911025449780478L

context

ExceptionContext context

Context.

serialVersionUID: -6024911025449780478L

context

ExceptionContext context

Context.

serialVersionUID: -7447085893598031110L

argument

Number argument

Requested.

serialVersionUID: -6024911025449780478L

context

ExceptionContext context

Context.

serialVersionUID: -6276776513966934846L

serialVersionUID: -6024911025449780478L

serialVersionUID: 20120926L

context

ExceptionContext context

Context.

serialVersionUID: -6024911025449780478L

context

ExceptionContext context

Context.

serialVersionUID: 4330003017885151975L

max

Number max

Maximum number of evaluations.

serialVersionUID: -8415396756375798143L

wrong

Integer[] wrong

Wrong dimensions.

expected

Integer[] expected

Correct dimensions.

serialVersionUID: -3629324471511904459L

lo

double lo

Lower end of the interval.

hi

double hi

Higher end of the interval.

fLo

double fLo

Value at lower end of the interval.

fHi

double fHi

Value at higher end of the interval.

serialVersionUID: -3629324471511904459L

serialVersionUID: 3596849179428944575L

direction

MathArrays.OrderDirection direction

Direction (positive for increasing, negative for decreasing).

strict

boolean strict

Whether the sequence must be strictly increasing or decreasing.

index

int index

Index of the wrong value.

previous

Number previous

Previous value.

serialVersionUID: 20120906L

serialVersionUID: -6100997100383932834L

serialVersionUID: -2250556892093726375L

serialVersionUID: -7824848630829852237L

serialVersionUID: -6024911025449780478L

serialVersionUID: 4330003017885151975L

max

Number max

Higher bound.

boundIsAllowed

boolean boundIsAllowed

Whether the maximum is included in the allowed range.

serialVersionUID: -6100997100383932834L

min

Number min

Higher bound.

boundIsAllowed

boolean boundIsAllowed

Whether the maximum is included in the allowed range.

serialVersionUID: 111601815794403609L

lo

Number lo

Lower bound.

hi

Number hi

Higher bound.

serialVersionUID: 4330003017885151975L

serialVersionUID: 20121211L

serialVersionUID: -1960874856936000015L

serialVersionUID: 8843275624471387299L

source

String source

Source string.

serialVersionUID: -6024911025449780478L

readObject

private void readObject(ObjectInputStream in)
                 throws IOException,
                        ClassNotFoundException

Deserialize this object from the given stream.

Throws:

IOException - This should never happen.

ClassNotFoundException - This should never happen.

writeObject

private void writeObject(ObjectOutputStream out)
                  throws IOException

Serialize this object to the given stream.

Throws:

IOException - This should never happen.

throwable

Throwable throwable

The throwable to which this context refers to.

msgPatterns

List<E> msgPatterns

Various informations that enrich the informative message.

msgArguments

List<E> msgArguments

Various informations that enrich the informative message. The arguments will replace the corresponding place-holders in ExceptionContext.msgPatterns.

context

Map<K,V> context

Arbitrary context information.

serialVersionUID: 5306874947404636157L

weight

double weight

Weight of the measurement in the fitting process.

x

double x

Abscissa of the point.

y

double y

Observed value of the function at x.

serialVersionUID: -6981118387974191891L

denominatorFormat

NumberFormat denominatorFormat

The format used for the denominator.

numeratorFormat

NumberFormat numeratorFormat

The format used for the numerator.

serialVersionUID: -5630213147331578515L

numerator

BigInteger numerator

The numerator.

denominator

BigInteger denominator

The denominator.

serialVersionUID: -1699294557189741703L

readResolve

private Object readResolve()

Handle deserialization of the singleton.

serialVersionUID: -2932167925527338976L

serialVersionUID: 3698073679419233275L

denominator

int denominator

The denominator.

numerator

int numerator

The numerator.

serialVersionUID: -4661812640132576263L

serialVersionUID: -1257768487499119313L

readResolve

private Object readResolve()

Handle deserialization of the singleton.

serialVersionUID: 3008655719530972611L

serialVersionUID: -6337346779577272307L

wholeFormat

NumberFormat wholeFormat

The format used for the whole number.

serialVersionUID: 760934726031766749L

wholeFormat

NumberFormat wholeFormat

The format used for the whole number.

serialVersionUID: 1L

serialVersionUID: -1178039568877797126L

readResolve

private Object readResolve()

Handle deserialization of the singleton.

serialVersionUID: 7556674948671647925L

x

double x

Abscissa.

serialVersionUID: -1360952845582206770L

serialVersionUID: 6249091865814886817L

readResolve

private Object readResolve()

Handle deserialization of the singleton.

serialVersionUID: 20130224L

q0

RealFieldElement<T> q0

Scalar coordinate of the quaternion.

q1

RealFieldElement<T> q1

First coordinate of the vectorial part of the quaternion.

q2

RealFieldElement<T> q2

Second coordinate of the vectorial part of the quaternion.

q3

RealFieldElement<T> q3

Third coordinate of the vectorial part of the quaternion.

serialVersionUID: 20130224L

x

RealFieldElement<T> x

Abscissa.

y

RealFieldElement<T> y

Ordinate.

z

RealFieldElement<T> z

Height.

serialVersionUID: 5647178478658937642L

serialVersionUID: -2153622329907944313L

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.

serialVersionUID: 20130206L

writeReplace

private Object writeReplace()

Replace the instance with a data transfer object for serialization.

v

Vector3D v

Cartesian coordinates.

r

double r

Radius.

theta

double theta

Azimuthal angle in the x-y plane θ.

phi

double phi

Polar angle (co-latitude) Φ.

jacobian

double[][] jacobian

Jacobian of (r, θ &Phi).

rHessian

double[][] rHessian

Hessian of radius.

thetaHessian

double[][] thetaHessian

Hessian of azimuthal angle in the x-y plane θ.

phiHessian

double[][] phiHessian

Hessian of polar (co-latitude) angle Φ.

serialVersionUID: 1313493323784566947L

x

double x

Abscissa.

y

double y

Ordinate.

z

double z

Height.

serialVersionUID: 4793432849757649566L

readResolve

private Object readResolve()

Handle deserialization of the singleton.

serialVersionUID: 266938651998679754L

x

double x

Abscissa.

y

double y

Ordinate.

serialVersionUID: 7260756672015356458L

data

FieldElement<T>[][] data

Entries of the matrix

serialVersionUID: -1067294169172445528L

data

double[][] data

Entries of the matrix.

serialVersionUID: 7648186910365927050L

data

FieldElement<T>[] data

Entries of the vector.

field

Field<T> field

Field to which the elements belong.

serialVersionUID: -1097961340710804027L

data

double[] data

Entries of the vector.

serialVersionUID: -4602336630143123183L

blocks

FieldElement<T>[][] blocks

Blocks of matrix entries.

rows

int rows

Number of rows of the matrix.

columns

int columns

Number of columns of the matrix.

blockRows

int blockRows

Number of block rows of the matrix.

blockColumns

int blockColumns

Number of block columns of the matrix.

serialVersionUID: 4991895511313664478L

blocks

double[][] blocks

Blocks of matrix entries.

rows

int rows

Number of rows of the matrix.

columns

int columns

Number of columns of the matrix.

blockRows

int blockRows

Number of block rows of the matrix.

blockColumns

int blockColumns

Number of block columns of the matrix.

serialVersionUID: 20120129L

b

RealVector b

The right-hand side vector.

r

RealVector r

The current estimate of the residual.

rnorm

double rnorm

The current estimate of the norm of the residual.

x

RealVector x

The current estimate of the solution.

serialVersionUID: 20121229L

data

double[] data

Entries of the diagonal.

serialVersionUID: -7883263944530490135L

serialVersionUID: 20120129L

serialVersionUID: -8415396756375798143L

serialVersionUID: 1641613838113738061L

index

int index

Index (diagonal element).

threshold

double threshold

Threshold.

serialVersionUID: 917034489420549847L

serialVersionUID: 1784999305030258247L

serialVersionUID: -660069396594485772L

serialVersionUID: -4145007524150846242L

serialVersionUID: -7518495577824189882L

row

int row

Row.

column

int column

Column.

threshold

double threshold

Threshold.

serialVersionUID: -5962461716457143437L

rows

int rows

Deprecated. 

Number of rows of the matrix.

columns

int columns

Deprecated. 

Number of columns of the matrix.

entries

OpenIntToDoubleHashMap entries

Deprecated. 

Storage for (sparse) matrix elements.

serialVersionUID: 8772222695580707260L

entries

OpenIntToDoubleHashMap entries

Deprecated. 

Entries of the vector.

virtualSize

int virtualSize

Deprecated. 

Dimension of the vector.

epsilon

double epsilon

Deprecated. 

Tolerance for having a value considered zero.

serialVersionUID: -4206514844735401070L

serialVersionUID: -476049978595245033L

serialVersionUID: 7841233292190413362L

field

Field<T> field

Deprecated. 

Field to which the elements belong.

entries

OpenIntToFieldHashMap<T extends FieldElement<T>> entries

Deprecated. 

Entries of the vector.

virtualSize

int virtualSize

Deprecated. 

Dimension of the vector.

serialVersionUID: -3075288519071812288L

center

Clusterable center

Center of the cluster.

serialVersionUID: -3442297081515880464L

points

List<E> points

The points contained in this cluster.

serialVersionUID: 3946024775784901369L

point

double[] point

Point coordinates.

serialVersionUID: -6972277381587032228L

serialVersionUID: -4694868171115238296L

serialVersionUID: 1717556319784040040L

serialVersionUID: -9108154600539125566L

serialVersionUID: -1417964919405031606L

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

List<E> steps

Steps table.

serialVersionUID: 20110925L

firstIndex

int firstIndex

Index of the first equation element in complete state arrays.

dimension

int dimension

Dimension of the secondary state parameters.

serialVersionUID: 20120902L

serialVersionUID: 20120902L

name

String name

Parameter name.

readExternal

public abstract void readExternal(ObjectInput in)
                           throws IOException,
                                  ClassNotFoundException

Throws:

IOException

ClassNotFoundException

writeExternal

public abstract void writeExternal(ObjectOutput out)
                            throws IOException

Throws:

IOException

serialVersionUID: -7179861704951334960L

readExternal

public void readExternal(ObjectInput in)
                  throws IOException,
                         ClassNotFoundException

Throws:

IOException

ClassNotFoundException

writeExternal

public void writeExternal(ObjectOutput out)
                   throws IOException

Throws:

IOException

serialVersionUID: 20120513L

writeReplace

private Object writeReplace()

Replace the instance with a data transfer object for serialization.

serialVersionUID: 20120513L

writeReplace

private Object writeReplace()

Replace the instance with a data transfer object for serialization.

serialVersionUID: -764632794033034092L

readObject

private void readObject(ObjectInputStream ois)
                 throws ClassNotFoundException,
                        IOException

Deserialize the instance.

Throws:

ClassNotFoundException - if a class in the stream cannot be found

IOException - if object cannot be read from the stream

writeObject

private void writeObject(ObjectOutputStream oos)
                  throws IOException

Serialize the instance.

Throws:

IOException - if object cannot be written to stream

relationship

Relationship relationship

Relationship between left and right hand sides (=, <=, >=).

value

double value

Value of the constraint (right hand side).

serialVersionUID: -4531815507568396090L

readObject

private void readObject(ObjectInputStream ois)
                 throws ClassNotFoundException,
                        IOException

Deserialize the instance.

Throws:

ClassNotFoundException - if a class in the stream cannot be found

IOException - if object cannot be read from the stream

writeObject

private void writeObject(ObjectOutputStream oos)
                  throws IOException

Serialize the instance.

Throws:

IOException - if object cannot be written to stream

constantTerm

double constantTerm

Constant term of the linear equation.

serialVersionUID: -3044253632189082760L

serialVersionUID: 940539497277290619L

serialVersionUID: 1003888396256744753L

point

double point

Point.

value

double value

Value of the objective function at the point.

serialVersionUID: 20120513L

writeReplace

private Object writeReplace()

Deprecated. 

Replace the instance with a data transfer object for serialization.

serialVersionUID: 20120513L

writeReplace

private Object writeReplace()

Deprecated. 

Replace the instance with a data transfer object for serialization.

serialVersionUID: 5306874947404636157L

weight

double weight

Deprecated. 

Weight of the measurement in the fitting process.

x

double x

Deprecated. 

Abscissa of the point.

y

double y

Deprecated. 

Observed value of the function at x.

serialVersionUID: -764632794033034092L

readObject

private void readObject(ObjectInputStream ois)
                 throws ClassNotFoundException,
                        IOException

Deprecated. 

Deserialize the instance.

Throws:

ClassNotFoundException - if a class in the stream cannot be found

IOException - if object cannot be read from the stream

writeObject

private void writeObject(ObjectOutputStream oos)
                  throws IOException

Deprecated. 

Serialize the instance.

Throws:

IOException - if object cannot be written to stream

relationship

Relationship relationship

Deprecated. 

Relationship between left and right hand sides (=, <=, >=).

value

double value

Deprecated. 

Value of the constraint (right hand side).

serialVersionUID: -4531815507568396090L

readObject

private void readObject(ObjectInputStream ois)
                 throws ClassNotFoundException,
                        IOException

Deprecated. 

Deserialize the instance.

Throws:

ClassNotFoundException - if a class in the stream cannot be found

IOException - if object cannot be read from the stream

writeObject

private void writeObject(ObjectOutputStream oos)
                  throws IOException

Deprecated. 

Serialize the instance.

Throws:

IOException - if object cannot be written to stream

constantTerm

double constantTerm

Deprecated. 

Constant term of the linear equation.

serialVersionUID: -3044253632189082760L

serialVersionUID: 940539497277290619L

serialVersionUID: 1003888396256744753L

point

double point

Deprecated. 

Point.

value

double value

Deprecated. 

Value of the objective function at the point.

serialVersionUID: -817701723016583596L

index

int index

Current index in the bytes pool.

v

int[] v

Bytes pool.

iRm1

int[] iRm1

Index indirection table giving for each index its predecessor taking table size into account.

iRm2

int[] iRm2

Index indirection table giving for each index its second predecessor taking table size into account.

i1

int[] i1

Index indirection table giving for each index the value index + m1 taking table size into account.

i2

int[] i2

Index indirection table giving for each index the value index + m2 taking table size into account.

i3

int[] i3

Index indirection table giving for each index the value index + m3 taking table size into account.

serialVersionUID: 20130104L

nextGaussian

double nextGaussian

Next gaussian.

serialVersionUID: 5729073523949762654L

randomData

RandomDataGenerator randomData

RandomDataGenerator instance to use in repeated calls to getNext()

binStats

List<E> binStats

List of SummaryStatistics objects characterizing the bins

sampleStats

SummaryStatistics sampleStats

Sample statistics

max

double max

Max loaded value

min

double min

Min loaded value

delta

double delta

Grid size

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

serialVersionUID: 7288197941165002400L

rsl

int[] rsl

The results given to the user

mem

int[] mem

The internal state

count

int count

Count through the results in rsl[]

isaacA

int isaacA

Accumulator

isaacB

int isaacB

The last result

isaacC

int isaacC

Counter, guarantees cycle is at least 2^40

arr

int[] arr

Service variable.

isaacX

int isaacX

Service variable.

isaacI

int isaacI

Service variable.

isaacJ

int isaacJ

Service variable.

serialVersionUID: -7745277476784028798L

serialVersionUID: 8661194735290153518L

mt

int[] mt

Bytes pool.

mti

int mti

Current index in the bytes pool.

serialVersionUID: 2306581345647615033L

randomGenerator

RandomGenerator randomGenerator

Wrapped randomGenerator instance

serialVersionUID: -626730818244969716L

rand

RandomGenerator rand

underlying random number generator

secRand

SecureRandom secRand

underlying secure random number generator

serialVersionUID: -626730818244969716L

delegate

RandomDataGenerator delegate

Deprecated. 

RandomDataGenerator delegate

serialVersionUID: 5680173464174485492L

serialVersionUID: -7462102162223815419L

serialVersionUID: -7203498180754925124L

serialVersionUID: -3859207588353972099L

serialVersionUID: 4032007538246675492L

serialVersionUID: -6104179812103820574L

serialVersionUID: -3845586908418844111L

freqTable

TreeMap<K,V> freqTable

underlying collection

serialVersionUID: -3442297081515880464L

points

List<E> points

Deprecated. 

The points contained in this cluster.

center

Clusterable<T> center

Deprecated. 

Center of the cluster.

serialVersionUID: 8026472786091227632L

point

double[] point

Deprecated. 

Point coordinates.

serialVersionUID: 3946024775784901369L

point

int[] point

Deprecated. 

Point coordinates.

serialVersionUID: -8207112444016386906L

statisticsPrototype

SummaryStatistics statisticsPrototype

A SummaryStatistics serving as a prototype for creating SummaryStatistics contributing to this aggregate

statistics

SummaryStatistics statistics

The SummaryStatistics in which aggregate statistics are accumulated.

serialVersionUID: 4133067267405273064L

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.

serialVersionUID: 2271900808994826718L

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.

serialVersionUID: -5108854841843722536L

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

serialVersionUID: -2021321786743555871L

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.

serialVersionUID: 1L

serialVersionUID: 7099834153347155363L

serialVersionUID: 1909861009042253704L

serialVersionUID: -8178734905303459453L

sumOfLogs

StorelessUnivariateStatistic sumOfLogs

Wrapped SumOfLogs instance

serialVersionUID: 2784465764798260919L

moment

org.apache.commons.math3.stat.descriptive.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.

serialVersionUID: -1296043746617791564L

moment

org.apache.commons.math3.stat.descriptive.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.

serialVersionUID: 3942403127395076445L

m2

double m2

second moment of values that have been added

serialVersionUID: -2653430366886024994L

biasCorrected

boolean biasCorrected

Determines whether or not bias correction is applied when computing the value of the statisic. True means that bias is corrected.

varianceDirection

SemiVariance.Direction varianceDirection

Determines whether to calculate downside or upside SemiVariance.

serialVersionUID: 7101857578996691352L

moment

org.apache.commons.math3.stat.descriptive.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.

serialVersionUID: 5728716329662425188L

variance

Variance variance

Wrapped Variance instance

serialVersionUID: -9111962718267217978L

moment

SecondMoment moment

SecondMoment is used in incremental calculation of Variance

incMoment

boolean incMoment

Whether or not Variance.increment(double) should increment the internal second moment. When a Variance is constructed with an external SecondMoment as a constructor parameter, this property is set to false and increments must be applied to the second moment directly.

isBiasCorrected

boolean isBiasCorrected

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

serialVersionUID: 4118372414238930270L

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.

serialVersionUID: 8223009086481006892L

means

Mean[] means

Means for each component.

serialVersionUID: -5593383832225844641L

n

long n

Number of values that have been added

value

double value

Current value of the statistic

serialVersionUID: -3961477041290915687L

serialVersionUID: -2941995784909003131L

n

long n

Number of values that have been added

value

double value

Current value of the statistic

serialVersionUID: -8091216485095130416L

quantile

double quantile

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

cachedPivots

int[] cachedPivots

Cached pivots.

serialVersionUID: 2824226005990582538L

n

long n

The number of values that have been added

value

double value

The current Running Product.

serialVersionUID: -8231831954703408316L

n

long n

value

double value

The currently running sum.

serialVersionUID: -370076995648386763L

n

int n

Number of values that have been added

value

double value

The currently running value

serialVersionUID: 1460986908574398008L

n

long n

value

double value

The currently running sumSq

serialVersionUID: 4206514456095401070L

serialVersionUID: 1L

parameters

double[] parameters

regression slope parameters

varCovData

double[][] varCovData

variance covariance matrix of parameters

isSymmetricVCD

boolean isSymmetricVCD

boolean flag for variance covariance matrix in symm compressed storage

rank

int rank

rank of the solution

nobs

long nobs

number of observations on which results are based

containsConstant

boolean containsConstant

boolean flag indicator of whether a constant was included

globalFitInfo

double[] globalFitInfo

array storing global results, SSE, MSE, RSQ, adjRSQ

serialVersionUID: -3004689053607543335L

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

hasIntercept

boolean hasIntercept

include an intercept or not

serialVersionUID: 20120212L

normalization

DctNormalization normalization

The type of DCT to be performed.

serialVersionUID: 20120210L

normalization

DftNormalization normalization

The type of DFT to be performed.

serialVersionUID: 20120211L

serialVersionUID: 20120211L

normalization

DstNormalization normalization

The type of DST to be performed.

serialVersionUID: 4984534880991310382L

d

BigDecimal d

Underlying BigDecimal.

roundingMode

RoundingMode roundingMode

Rounding mode for divisions.

scale

int scale

BigDecimal scale

serialVersionUID: 4756431066541037559L

readResolve

private Object readResolve()

Handle deserialization of the singleton.

serialVersionUID: 20120227L

value

double value

The primitive double value of this object.

serialVersionUID: 4019938025047800455L

serialVersionUID: 20120128L

iterations

int iterations

The number of iterations performed so far.

serialVersionUID: -3646337053166149105L

readObject

private void readObject(ObjectInputStream stream)
                 throws IOException,
                        ClassNotFoundException

Read a serialized object.

Throws:

IOException - if object cannot be read

ClassNotFoundException - if the class corresponding to the serialized object cannot be found

keys

int[] keys

Keys table.

values

double[] values

Values table.

states

byte[] states

States table.

missingEntries

double missingEntries

Return value for missing entries.

size

int size

Current size of the map.

mask

int mask

Bit mask for hash values.

serialVersionUID: -9179080286849120720L

readObject

private void readObject(ObjectInputStream stream)
                 throws IOException,
                        ClassNotFoundException

Read a serialized object.

Throws:

IOException - if object cannot be read

ClassNotFoundException - if the class corresponding to the serialized object cannot be found

field

Field<T> field

Field to which the elements belong.

keys

int[] keys

Keys table.

values

FieldElement<T>[] values

Values table.

states

byte[] states

States table.

missingEntries

FieldElement<T> missingEntries

Return value for missing entries.

size

int size

Current size of the map.

mask

int mask

Bit mask for hash values.

serialVersionUID: -3485529955529426875L

contractionCriterion

double contractionCriterion

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

expansionFactor

double 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

ResizableDoubleArray.ExpansionMode expansionMode

Determines whether array expansion by expansionFactor is additive or multiplicative.

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].

serialVersionUID: 4605318041528645258L

defaultTransformer

NumberTransformer defaultTransformer

A default Number Transformer for Numbers and numeric Strings.

map

Map<K,V> map

The internal Map.