A B C D E F G H I K L M N O P Q R S T V Z
All Classes All Packages

A

ABayesianInferenceAlgorithm - Class in ai.libs.jaicore.math.bayesianinference

ABayesianInferenceAlgorithm(BayesianInferenceProblem) - Constructor for class ai.libs.jaicore.math.bayesianinference.ABayesianInferenceAlgorithm

AbstractVector - Class in ai.libs.jaicore.math.linearalgebra

An abstract vector class, implementing several common methods for different vector implementations.

AbstractVector() - Constructor for class ai.libs.jaicore.math.linearalgebra.AbstractVector

addConstant(double) - Method in class ai.libs.jaicore.math.linearalgebra.DenseDoubleVector

addConstant(double) - Method in class ai.libs.jaicore.math.linearalgebra.SparseDoubleVector

addConstantToCopy(double) - Method in class ai.libs.jaicore.math.linearalgebra.AbstractVector

addDependency(String, String) - Method in class ai.libs.jaicore.math.bayesianinference.BayesNet

addNode(String) - Method in class ai.libs.jaicore.math.bayesianinference.BayesNet

addProbability(String, double) - Method in class ai.libs.jaicore.math.bayesianinference.BayesNet

addProbability(String, Collection<String>, double) - Method in class ai.libs.jaicore.math.bayesianinference.BayesNet

addProbability(Collection<String>, double) - Method in class ai.libs.jaicore.math.bayesianinference.DiscreteProbabilityDistribution

addVector(double[]) - Method in class ai.libs.jaicore.math.linearalgebra.DenseDoubleVector

addVector(double[]) - Method in class ai.libs.jaicore.math.linearalgebra.SparseDoubleVector

addVector(IVector) - Method in class ai.libs.jaicore.math.linearalgebra.DenseDoubleVector

addVector(IVector) - Method in class ai.libs.jaicore.math.linearalgebra.SparseDoubleVector

addVectorToCopy(double[]) - Method in class ai.libs.jaicore.math.linearalgebra.AbstractVector

addVectorToCopy(IVector) - Method in class ai.libs.jaicore.math.linearalgebra.AbstractVector

AffineFunction - Class in ai.libs.jaicore.math.linearalgebra

AffineFunction(double, double) - Constructor for class ai.libs.jaicore.math.linearalgebra.AffineFunction

AffineFunction(double, double, double, double) - Constructor for class ai.libs.jaicore.math.linearalgebra.AffineFunction

AffineFunction(BigDecimal, BigDecimal, BigDecimal, BigDecimal) - Constructor for class ai.libs.jaicore.math.linearalgebra.AffineFunction

ai.libs.jaicore.math.bayesianinference - package ai.libs.jaicore.math.bayesianinference

ai.libs.jaicore.math.gradientdescent - package ai.libs.jaicore.math.gradientdescent

ai.libs.jaicore.math.linearalgebra - package ai.libs.jaicore.math.linearalgebra

ai.libs.jaicore.math.numopt - package ai.libs.jaicore.math.numopt

ai.libs.jaicore.math.probability.pl - package ai.libs.jaicore.math.probability.pl

ai.libs.jaicore.math.random - package ai.libs.jaicore.math.random

allModelVariables - Variable in class ai.libs.jaicore.math.bayesianinference.ABayesianInferenceAlgorithm

apply(double) - Method in class ai.libs.jaicore.math.linearalgebra.LinearlyScaledFunction

apply(IVector) - Method in class ai.libs.jaicore.math.gradientdescent.BlackBoxGradient

apply(IVector) - Method in interface ai.libs.jaicore.math.gradientdescent.IGradientDescendableFunction

Applies the function for the point represented by the given vector.

apply(IVector) - Method in interface ai.libs.jaicore.math.gradientdescent.IGradientFunction

Returns the result of applying the gradient to the point represented by the given vector.

applyAsDouble(Number) - Method in class ai.libs.jaicore.math.linearalgebra.AffineFunction

asArray() - Method in class ai.libs.jaicore.math.linearalgebra.DenseDoubleVector

asArray() - Method in class ai.libs.jaicore.math.linearalgebra.SparseDoubleVector

average() - Method in class ai.libs.jaicore.math.linearalgebra.AbstractVector

B

BayesianInferenceProblem - Class in ai.libs.jaicore.math.bayesianinference

BayesianInferenceProblem(BayesNet, Map<String, Boolean>, Collection<String>) - Constructor for class ai.libs.jaicore.math.bayesianinference.BayesianInferenceProblem

BayesNet - Class in ai.libs.jaicore.math.bayesianinference

BayesNet() - Constructor for class ai.libs.jaicore.math.bayesianinference.BayesNet

BlackBoxGradient - Class in ai.libs.jaicore.math.gradientdescent

Difference quotient based gradient estimation.

BlackBoxGradient(IGradientDescendableFunction, double) - Constructor for class ai.libs.jaicore.math.gradientdescent.BlackBoxGradient

Sets up a gradient-estimator for the given function.

C

call() - Method in class ai.libs.jaicore.math.bayesianinference.ABayesianInferenceAlgorithm

call() - Method in class ai.libs.jaicore.math.probability.pl.PLMMAlgorithm

D

DEFAULT_SEED - Static variable in class ai.libs.jaicore.math.random.RandomGenerator

The default value for the random value seed.

DenseDoubleVector - Class in ai.libs.jaicore.math.linearalgebra

Dense vector implementation wrapping the MTJ implementation of a dense vector.

DenseDoubleVector(double[]) - Constructor for class ai.libs.jaicore.math.linearalgebra.DenseDoubleVector

Creates a dense vector from the given data.

DenseDoubleVector(int) - Constructor for class ai.libs.jaicore.math.linearalgebra.DenseDoubleVector

Creates a dense vector with the given amount of dimensions, initialized with zeros.

DenseDoubleVector(int, double) - Constructor for class ai.libs.jaicore.math.linearalgebra.DenseDoubleVector

Creates a new dense vector with the given size and paste for each entry the given value.

DenseDoubleVector(Vector) - Constructor for class ai.libs.jaicore.math.linearalgebra.DenseDoubleVector

Creates a dense vector from an MTJ vector.

DiscreteProbabilityDistribution - Class in ai.libs.jaicore.math.bayesianinference

DiscreteProbabilityDistribution() - Constructor for class ai.libs.jaicore.math.bayesianinference.DiscreteProbabilityDistribution

DiscreteProbabilityDistributionPrinter - Class in ai.libs.jaicore.math.bayesianinference

DiscreteProbabilityDistributionPrinter() - Constructor for class ai.libs.jaicore.math.bayesianinference.DiscreteProbabilityDistributionPrinter

divideByConstant(double) - Method in class ai.libs.jaicore.math.linearalgebra.DenseDoubleVector

divideByConstant(double) - Method in class ai.libs.jaicore.math.linearalgebra.SparseDoubleVector

divideByConstantToCopy(double) - Method in class ai.libs.jaicore.math.linearalgebra.AbstractVector

divideByVectorPairwise(double[]) - Method in class ai.libs.jaicore.math.linearalgebra.DenseDoubleVector

divideByVectorPairwise(double[]) - Method in class ai.libs.jaicore.math.linearalgebra.SparseDoubleVector

divideByVectorPairwise(IVector) - Method in class ai.libs.jaicore.math.linearalgebra.DenseDoubleVector

divideByVectorPairwise(IVector) - Method in class ai.libs.jaicore.math.linearalgebra.SparseDoubleVector

divideByVectorPairwiseToCopy(double[]) - Method in class ai.libs.jaicore.math.linearalgebra.AbstractVector

divideByVectorPairwiseToCopy(IVector) - Method in class ai.libs.jaicore.math.linearalgebra.AbstractVector

dotProduct(double[]) - Method in class ai.libs.jaicore.math.linearalgebra.DenseDoubleVector

dotProduct(double[]) - Method in class ai.libs.jaicore.math.linearalgebra.SparseDoubleVector

dotProduct(IVector) - Method in class ai.libs.jaicore.math.linearalgebra.DenseDoubleVector

dotProduct(IVector) - Method in class ai.libs.jaicore.math.linearalgebra.SparseDoubleVector

duplicate() - Method in class ai.libs.jaicore.math.linearalgebra.DenseDoubleVector

duplicate() - Method in class ai.libs.jaicore.math.linearalgebra.SparseDoubleVector

E

encode(Collection<? extends List<?>>) - Method in class ai.libs.jaicore.math.probability.pl.PLInferenceProblemEncoder

EnumerationBasedBayesianInferenceSolver - Class in ai.libs.jaicore.math.bayesianinference

EnumerationBasedBayesianInferenceSolver(BayesianInferenceProblem) - Constructor for class ai.libs.jaicore.math.bayesianinference.EnumerationBasedBayesianInferenceSolver

equals(Object) - Method in class ai.libs.jaicore.math.linearalgebra.AbstractVector

equals(Object) - Method in class ai.libs.jaicore.math.linearalgebra.SparseDoubleVector

euclideanNorm() - Method in class ai.libs.jaicore.math.linearalgebra.AbstractVector

eval(double[]) - Method in interface ai.libs.jaicore.math.numopt.IRealFunction

evidence - Variable in class ai.libs.jaicore.math.bayesianinference.ABayesianInferenceAlgorithm

F

fillRandomly() - Method in class ai.libs.jaicore.math.linearalgebra.DenseDoubleVector

fillRandomly() - Method in class ai.libs.jaicore.math.linearalgebra.SparseDoubleVector

G

getA() - Method in class ai.libs.jaicore.math.linearalgebra.AffineFunction

getAllModelVariables() - Method in class ai.libs.jaicore.math.bayesianinference.ABayesianInferenceAlgorithm

getB() - Method in class ai.libs.jaicore.math.linearalgebra.AffineFunction

getDefaultSkillVector(int) - Static method in class ai.libs.jaicore.math.probability.pl.PLMMAlgorithm

getDistribution() - Method in class ai.libs.jaicore.math.bayesianinference.ABayesianInferenceAlgorithm

getEvidence() - Method in class ai.libs.jaicore.math.bayesianinference.ABayesianInferenceAlgorithm

getEvidenceVariables() - Method in class ai.libs.jaicore.math.bayesianinference.BayesianInferenceProblem

getHiddenVariables() - Method in class ai.libs.jaicore.math.bayesianinference.ABayesianInferenceAlgorithm

getIndexOfObject(Object) - Method in class ai.libs.jaicore.math.probability.pl.PLInferenceProblemEncoder

getLoggerName() - Method in class ai.libs.jaicore.math.bayesianinference.BayesNet

getLoggerName() - Method in class ai.libs.jaicore.math.probability.pl.PLMMAlgorithm

getMap() - Method in class ai.libs.jaicore.math.bayesianinference.BayesNet

getMapping() - Method in class ai.libs.jaicore.math.linearalgebra.LinearlyScaledFunction

getMinimum() - Method in interface ai.libs.jaicore.math.numopt.ISingleMinimumComputer

getNet() - Method in class ai.libs.jaicore.math.bayesianinference.ABayesianInferenceAlgorithm

getNet() - Method in class ai.libs.jaicore.math.bayesianinference.BayesNet

getNetwork() - Method in class ai.libs.jaicore.math.bayesianinference.BayesianInferenceProblem

getNonZeroIndices() - Method in class ai.libs.jaicore.math.linearalgebra.SparseDoubleVector

Returns an array containing the non-zero indices of this sparse vector.

getNormalizedCopy() - Method in class ai.libs.jaicore.math.bayesianinference.DiscreteProbabilityDistribution

getNumObjects() - Method in class ai.libs.jaicore.math.probability.pl.PLInferenceProblem

getObjectAtIndex(int) - Method in class ai.libs.jaicore.math.probability.pl.PLInferenceProblemEncoder

getObjectWithHighestSkill() - Method in class ai.libs.jaicore.math.probability.pl.PLSkillMap

getProbabilities() - Method in class ai.libs.jaicore.math.bayesianinference.DiscreteProbabilityDistribution

getProbabilityOfPositiveEvent(String, Set<String>) - Method in class ai.libs.jaicore.math.bayesianinference.BayesNet

getQueryVariables() - Method in class ai.libs.jaicore.math.bayesianinference.ABayesianInferenceAlgorithm

getQueryVariables() - Method in class ai.libs.jaicore.math.bayesianinference.BayesianInferenceProblem

getRankings() - Method in class ai.libs.jaicore.math.probability.pl.PLInferenceProblem

getRNG() - Static method in class ai.libs.jaicore.math.random.RandomGenerator

Returns the random variable of this class.

getSeed() - Static method in class ai.libs.jaicore.math.random.RandomGenerator

Returns the seed of the random variable singleton.

getSkillVector() - Method in class ai.libs.jaicore.math.probability.pl.PLMMAlgorithm

getTable(DiscreteProbabilityDistribution) - Method in class ai.libs.jaicore.math.bayesianinference.DiscreteProbabilityDistributionPrinter

getValue(int) - Method in class ai.libs.jaicore.math.linearalgebra.DenseDoubleVector

getValue(int) - Method in class ai.libs.jaicore.math.linearalgebra.SparseDoubleVector

getVariables() - Method in class ai.libs.jaicore.math.bayesianinference.DiscreteProbabilityDistribution

GRAD_DESC_GRADIENT_THRESHOLD - Static variable in interface ai.libs.jaicore.math.gradientdescent.IGradientDescentOptimizerConfig

Specifies a threshold for the gradient (i.e. if the gradient is below this value no update will be done; if all gradients are below this value, the algorithm will terminate)

GRAD_DESC_LEARNING_RATE - Static variable in interface ai.libs.jaicore.math.gradientdescent.IGradientDescentOptimizerConfig

The learning rate in the update step (i.e. how much of the gradient should be added to the parameter)

GRAD_DESC_MAX_ITERATIONS - Static variable in interface ai.libs.jaicore.math.gradientdescent.IGradientDescentOptimizerConfig

Specifies the maximum of gradient update steps.

GradientDescentOptimizer - Class in ai.libs.jaicore.math.gradientdescent

An optimizer based on the gradient descent method [1].

GradientDescentOptimizer() - Constructor for class ai.libs.jaicore.math.gradientdescent.GradientDescentOptimizer

GradientDescentOptimizer(IGradientDescentOptimizerConfig) - Constructor for class ai.libs.jaicore.math.gradientdescent.GradientDescentOptimizer

gradientThreshold() - Method in interface ai.libs.jaicore.math.gradientdescent.IGradientDescentOptimizerConfig

H

hashCode() - Method in class ai.libs.jaicore.math.linearalgebra.AbstractVector

hashCode() - Method in class ai.libs.jaicore.math.linearalgebra.SparseDoubleVector

hiddenVariables - Variable in class ai.libs.jaicore.math.bayesianinference.ABayesianInferenceAlgorithm

I

IGradientBasedOptimizer - Interface in ai.libs.jaicore.math.gradientdescent

Interface for an optimizer that is based on a gradient descent and gets a differentiable function and the derivation of said function to solve an optimization problem.

IGradientDescendableFunction - Interface in ai.libs.jaicore.math.gradientdescent

This interface represents a function that is differentiable and thus can be used by gradient descent algorithms.

IGradientDescentOptimizerConfig - Interface in ai.libs.jaicore.math.gradientdescent

IGradientFunction - Interface in ai.libs.jaicore.math.gradientdescent

Represents the gradient of a function that is differentiable.

incrementValueAt(int, double) - Method in class ai.libs.jaicore.math.linearalgebra.AbstractVector

initializeRNG(long) - Static method in class ai.libs.jaicore.math.random.RandomGenerator

Initializes the random generator with the given seed.

internalVector - Variable in class ai.libs.jaicore.math.linearalgebra.SparseDoubleVector

IRealFunction - Interface in ai.libs.jaicore.math.numopt

ISingleMinimumComputer - Interface in ai.libs.jaicore.math.numopt

Interface to compute the place of a function f where f is locally minimal

isProbabilityTableOfNodeWellDefined(String) - Method in class ai.libs.jaicore.math.bayesianinference.BayesNet

isSparse() - Method in class ai.libs.jaicore.math.linearalgebra.DenseDoubleVector

isSparse() - Method in class ai.libs.jaicore.math.linearalgebra.SparseDoubleVector

isWellDefined() - Method in class ai.libs.jaicore.math.bayesianinference.BayesNet

K

kroneckerProduct(double[]) - Method in class ai.libs.jaicore.math.linearalgebra.DenseDoubleVector

kroneckerProduct(double[]) - Method in class ai.libs.jaicore.math.linearalgebra.SparseDoubleVector

kroneckerProductInternal(double[]) - Method in class ai.libs.jaicore.math.linearalgebra.AbstractVector

L

learningRate() - Method in interface ai.libs.jaicore.math.gradientdescent.IGradientDescentOptimizerConfig

length() - Method in class ai.libs.jaicore.math.linearalgebra.DenseDoubleVector

length() - Method in class ai.libs.jaicore.math.linearalgebra.SparseDoubleVector

LinearlyScaledFunction - Class in ai.libs.jaicore.math.linearalgebra

LinearlyScaledFunction(DoubleFunction<Double>, double, double, double, double) - Constructor for class ai.libs.jaicore.math.linearalgebra.LinearlyScaledFunction

M

maxIterations() - Method in interface ai.libs.jaicore.math.gradientdescent.IGradientDescentOptimizerConfig

mean() - Method in class ai.libs.jaicore.math.linearalgebra.AbstractVector

multiply(DiscreteProbabilityDistribution, DiscreteProbabilityDistribution) - Method in class ai.libs.jaicore.math.bayesianinference.VariableElimination

multiply(Collection<VariableElimination.Factor>) - Method in class ai.libs.jaicore.math.bayesianinference.VariableElimination

multiplyByConstant(double) - Method in class ai.libs.jaicore.math.linearalgebra.DenseDoubleVector

multiplyByConstant(double) - Method in class ai.libs.jaicore.math.linearalgebra.SparseDoubleVector

multiplyByConstantToCopy(double) - Method in class ai.libs.jaicore.math.linearalgebra.AbstractVector

multiplyByVectorPairwise(double[]) - Method in class ai.libs.jaicore.math.linearalgebra.DenseDoubleVector

multiplyByVectorPairwise(double[]) - Method in class ai.libs.jaicore.math.linearalgebra.SparseDoubleVector

multiplyByVectorPairwise(IVector) - Method in class ai.libs.jaicore.math.linearalgebra.DenseDoubleVector

multiplyByVectorPairwise(IVector) - Method in class ai.libs.jaicore.math.linearalgebra.SparseDoubleVector

multiplyByVectorPairwiseToCopy(double[]) - Method in class ai.libs.jaicore.math.linearalgebra.AbstractVector

multiplyByVectorPairwiseToCopy(IVector) - Method in class ai.libs.jaicore.math.linearalgebra.AbstractVector

N

net - Variable in class ai.libs.jaicore.math.bayesianinference.ABayesianInferenceAlgorithm

nextWithException() - Method in class ai.libs.jaicore.math.bayesianinference.EnumerationBasedBayesianInferenceSolver

nextWithException() - Method in class ai.libs.jaicore.math.bayesianinference.VariableElimination

nextWithException() - Method in class ai.libs.jaicore.math.probability.pl.PLMMAlgorithm

normalize() - Method in class ai.libs.jaicore.math.linearalgebra.DenseDoubleVector

normalize() - Method in class ai.libs.jaicore.math.linearalgebra.SparseDoubleVector

O

optimize(IGradientDescendableFunction, IGradientFunction, IVector) - Method in class ai.libs.jaicore.math.gradientdescent.GradientDescentOptimizer

optimize(IGradientDescendableFunction, IGradientFunction, IVector) - Method in interface ai.libs.jaicore.math.gradientdescent.IGradientBasedOptimizer

Optimize the given function based on its derivation.

P

PLInferenceProblem - Class in ai.libs.jaicore.math.probability.pl

PLInferenceProblem(Collection<ShortList>) - Constructor for class ai.libs.jaicore.math.probability.pl.PLInferenceProblem

PLInferenceProblem(List<ShortList>) - Constructor for class ai.libs.jaicore.math.probability.pl.PLInferenceProblem

PLInferenceProblemEncoder - Class in ai.libs.jaicore.math.probability.pl

PLInferenceProblemEncoder() - Constructor for class ai.libs.jaicore.math.probability.pl.PLInferenceProblemEncoder

PLMMAlgorithm - Class in ai.libs.jaicore.math.probability.pl

This is the MM algorithm for Plackett-Luce as described in

PLMMAlgorithm(PLInferenceProblem) - Constructor for class ai.libs.jaicore.math.probability.pl.PLMMAlgorithm

PLMMAlgorithm(PLInferenceProblem, IOwnerBasedAlgorithmConfig) - Constructor for class ai.libs.jaicore.math.probability.pl.PLMMAlgorithm

PLMMAlgorithm(PLInferenceProblem, DoubleList, IOwnerBasedAlgorithmConfig) - Constructor for class ai.libs.jaicore.math.probability.pl.PLMMAlgorithm

PLSkillMap - Class in ai.libs.jaicore.math.probability.pl

PLSkillMap() - Constructor for class ai.libs.jaicore.math.probability.pl.PLSkillMap

preprocessVariables() - Method in class ai.libs.jaicore.math.bayesianinference.VariableElimination

Q

queryVariables - Variable in class ai.libs.jaicore.math.bayesianinference.ABayesianInferenceAlgorithm

R

RandomGenerator - Class in ai.libs.jaicore.math.random

This class serves as a way to obtain a globally synchronized random variable.

S

setDistribution(DiscreteProbabilityDistribution) - Method in class ai.libs.jaicore.math.bayesianinference.ABayesianInferenceAlgorithm

setLoggerName(String) - Method in class ai.libs.jaicore.math.bayesianinference.BayesNet

setLoggerName(String) - Method in class ai.libs.jaicore.math.probability.pl.PLMMAlgorithm

setValue(int, double) - Method in class ai.libs.jaicore.math.linearalgebra.DenseDoubleVector

setValue(int, double) - Method in class ai.libs.jaicore.math.linearalgebra.SparseDoubleVector

SparseDoubleVector - Class in ai.libs.jaicore.math.linearalgebra

Sparse vector implementation wrapping the MTJ implementation of a sparse vector.

SparseDoubleVector(double[]) - Constructor for class ai.libs.jaicore.math.linearalgebra.SparseDoubleVector

Creates a new SparseDoubleVector which contains the given values.

SparseDoubleVector(int) - Constructor for class ai.libs.jaicore.math.linearalgebra.SparseDoubleVector

Creates a new SparseDoubleVector which contains only zero values.

SparseDoubleVector(int[], double[], int) - Constructor for class ai.libs.jaicore.math.linearalgebra.SparseDoubleVector

Creates a new SparseDoubleVector which contains the given values.

SparseDoubleVector(SparseVector) - Constructor for class ai.libs.jaicore.math.linearalgebra.SparseDoubleVector

Creates a new SparseDoubleVector from an MTJ SparseVector.

squareRoot() - Method in class ai.libs.jaicore.math.linearalgebra.AbstractVector

squareRootToCopy() - Method in class ai.libs.jaicore.math.linearalgebra.AbstractVector

standardDeviation() - Method in class ai.libs.jaicore.math.linearalgebra.AbstractVector

subtractConstant(double) - Method in class ai.libs.jaicore.math.linearalgebra.DenseDoubleVector

subtractConstant(double) - Method in class ai.libs.jaicore.math.linearalgebra.SparseDoubleVector

subtractConstantFromCopy(double) - Method in class ai.libs.jaicore.math.linearalgebra.AbstractVector

subtractVector(double[]) - Method in class ai.libs.jaicore.math.linearalgebra.DenseDoubleVector

subtractVector(double[]) - Method in class ai.libs.jaicore.math.linearalgebra.SparseDoubleVector

subtractVector(IVector) - Method in class ai.libs.jaicore.math.linearalgebra.DenseDoubleVector

subtractVector(IVector) - Method in class ai.libs.jaicore.math.linearalgebra.SparseDoubleVector

subtractVectorFromCopy(double[]) - Method in class ai.libs.jaicore.math.linearalgebra.AbstractVector

subtractVectorFromCopy(IVector) - Method in class ai.libs.jaicore.math.linearalgebra.AbstractVector

sum() - Method in class ai.libs.jaicore.math.linearalgebra.AbstractVector

sumProbability(List<String>, int, Map<String, Boolean>) - Method in class ai.libs.jaicore.math.bayesianinference.EnumerationBasedBayesianInferenceSolver

T

toDenseVector() - Method in class ai.libs.jaicore.math.linearalgebra.AbstractVector

toDenseVector() - Method in class ai.libs.jaicore.math.linearalgebra.DenseDoubleVector

toDenseVector() - Method in class ai.libs.jaicore.math.linearalgebra.SparseDoubleVector

toSparseVector() - Method in class ai.libs.jaicore.math.linearalgebra.AbstractVector

toSparseVector() - Method in class ai.libs.jaicore.math.linearalgebra.DenseDoubleVector

toSparseVector() - Method in class ai.libs.jaicore.math.linearalgebra.SparseDoubleVector

toString() - Method in class ai.libs.jaicore.math.linearalgebra.AbstractVector

V

VariableElimination - Class in ai.libs.jaicore.math.bayesianinference

VariableElimination(BayesianInferenceProblem) - Constructor for class ai.libs.jaicore.math.bayesianinference.VariableElimination

Z

zeroAllDimensions() - Method in class ai.libs.jaicore.math.linearalgebra.AbstractVector

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