A D E F G H I K L M N R S T V Z

A

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

addConstant(double) - Method in interface ai.libs.jaicore.math.linearalgebra.Vector

Adds the given constant to this vector.

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

addConstantToCopy(double) - Method in interface ai.libs.jaicore.math.linearalgebra.Vector

Adds the given constant to a copy of this vector and returns the result of this operation.

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

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

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

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

addVector(double[]) - Method in interface ai.libs.jaicore.math.linearalgebra.Vector

Adds the given double array interpreted as a vector to this vector.

addVector(Vector) - Method in interface ai.libs.jaicore.math.linearalgebra.Vector

Adds the given vector to this vector.

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

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

addVectorToCopy(double[]) - Method in interface ai.libs.jaicore.math.linearalgebra.Vector

Adds the given double array interpreted as a vector to a copy of this vector and returns the result of the operation.

addVectorToCopy(Vector) - Method in interface ai.libs.jaicore.math.linearalgebra.Vector

Adds the given vector to a copy of this vector and returns the result of the operation.

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

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

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

asArray() - Method in interface ai.libs.jaicore.math.linearalgebra.Vector

Returns this vector as a double array.

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

average() - Method in interface ai.libs.jaicore.math.linearalgebra.Vector

Returns the average of all values contained in this vector.

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

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

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

Creates a dense vector from the given data.

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

Creates a dense vector from an MTJ vector.

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.

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

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

divideByConstant(double) - Method in interface ai.libs.jaicore.math.linearalgebra.Vector

Divides this vector by the given constant.

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

divideByConstantToCopy(double) - Method in interface ai.libs.jaicore.math.linearalgebra.Vector

Divides a copy of this vector by the given constant and returns the result of this operation.

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

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

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

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

divideByVectorPairwise(double[]) - Method in interface ai.libs.jaicore.math.linearalgebra.Vector

Divides this vector by the given double array interpreted as a pairwise vector and stores the result in this vector.

divideByVectorPairwise(Vector) - Method in interface ai.libs.jaicore.math.linearalgebra.Vector

Divides this vector by the given pairwise vector and stores the result in this vector.

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

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

divideByVectorPairwiseToCopy(double[]) - Method in interface ai.libs.jaicore.math.linearalgebra.Vector

Divides a copy of this vector by the given double array interpreted as a pairwise vector and returns the result of this operation.

divideByVectorPairwiseToCopy(Vector) - Method in interface ai.libs.jaicore.math.linearalgebra.Vector

Divides a copy of this vector by the given pairwise vector and returns the result of this operation.

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

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

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

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

dotProduct(double[]) - Method in interface ai.libs.jaicore.math.linearalgebra.Vector

Computes the dot product of the given vector and this vector.

dotProduct(Vector) - Method in interface ai.libs.jaicore.math.linearalgebra.Vector

Computes the dot product of the given vector and this vector.

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

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

duplicate() - Method in interface ai.libs.jaicore.math.linearalgebra.Vector

Creates a deep copy of this vector.

E

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

euclideanNorm() - Method in interface ai.libs.jaicore.math.linearalgebra.Vector

Returns the Euclidean norm (length) of this vector.

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

F

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

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

fillRandomly() - Method in interface ai.libs.jaicore.math.linearalgebra.Vector

Fills this vector with random values from the unit interval.

G

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

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

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

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.

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

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

getValue(int) - Method in interface ai.libs.jaicore.math.linearalgebra.Vector

Returns the value at the given index of this vector.

H

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

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

I

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

incrementValueAt(int, double) - Method in interface ai.libs.jaicore.math.linearalgebra.Vector

Increments the value at the given index by the given amount.

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

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

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

isSparse() - Method in interface ai.libs.jaicore.math.linearalgebra.Vector

Checks if this vector is sparse.

K

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

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

kroneckerProduct(double[]) - Method in interface ai.libs.jaicore.math.linearalgebra.Vector

Computes the kronecker product of this vector (v) with the given vector (w).

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

L

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

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

length() - Method in interface ai.libs.jaicore.math.linearalgebra.Vector

Returns the number of dimensions of this vector.

M

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

mean() - Method in interface ai.libs.jaicore.math.linearalgebra.Vector

Computes the mean of this vector.

merge(Vector, Vector) - Static method in interface ai.libs.jaicore.math.linearalgebra.Vector

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

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

multiplyByConstant(double) - Method in interface ai.libs.jaicore.math.linearalgebra.Vector

Multiplies this vector with the given constant.

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

multiplyByConstantToCopy(double) - Method in interface ai.libs.jaicore.math.linearalgebra.Vector

Multiplies a copy of this vector with the given constant and returns the result of this operation.

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

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

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

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

multiplyByVectorPairwise(double[]) - Method in interface ai.libs.jaicore.math.linearalgebra.Vector

Multiplies this vector with the given double array interpreted as a pairwise vector and stores the result in this vector.

multiplyByVectorPairwise(Vector) - Method in interface ai.libs.jaicore.math.linearalgebra.Vector

Multiplies this vector with the given vector pairwisely and stores the result in this vector.

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

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

multiplyByVectorPairwiseToCopy(double[]) - Method in interface ai.libs.jaicore.math.linearalgebra.Vector

Multiplies a copy of this vector with the given double array interpreted as a pairwise vector and returns the result of the operation.

multiplyByVectorPairwiseToCopy(Vector) - Method in interface ai.libs.jaicore.math.linearalgebra.Vector

Multiplies a copy of this vector with the given vector pairwisely and returns the result of this operation.

N

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

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

normalize() - Method in interface ai.libs.jaicore.math.linearalgebra.Vector

Normalizes this vector to the unit interval.

R

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

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

S

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

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

setValue(int, double) - Method in interface ai.libs.jaicore.math.linearalgebra.Vector

Sets the value at the given index of this vector to the given value.

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

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

SparseDoubleVector(int[], double[], int) - 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(double[]) - 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

squareRoot() - Method in interface ai.libs.jaicore.math.linearalgebra.Vector

Replaces the current values of the vectors with the square roots of the elements.

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

squareRootToCopy() - Method in interface ai.libs.jaicore.math.linearalgebra.Vector

Takes the square root of each element of the vector and creates a new vector with these elements.

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

standardDeviation() - Method in interface ai.libs.jaicore.math.linearalgebra.Vector

Returns the standard deviation over the values in the vector.

stream() - Method in interface ai.libs.jaicore.math.linearalgebra.Vector

Returns a Stream of the values contained in this vector.

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

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

subtractConstant(double) - Method in interface ai.libs.jaicore.math.linearalgebra.Vector

Subtracts the given constant from this vector.

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

subtractConstantFromCopy(double) - Method in interface ai.libs.jaicore.math.linearalgebra.Vector

Subtracts the given constant from a copy of this vector and returns the result of the operation.

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

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

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

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

subtractVector(double[]) - Method in interface ai.libs.jaicore.math.linearalgebra.Vector

Subtracts the given double array interpreted as a vector from this vector.

subtractVector(Vector) - Method in interface ai.libs.jaicore.math.linearalgebra.Vector

Subtracts the given vector from this vector.

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

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

subtractVectorFromCopy(double[]) - Method in interface ai.libs.jaicore.math.linearalgebra.Vector

Subtracts the given double array interpreted as a vector from a copy of this vector and returns the result of this operation.

subtractVectorFromCopy(Vector) - Method in interface ai.libs.jaicore.math.linearalgebra.Vector

Subtracts the given vector from a copy of this vector and returns the result of this operation.

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

sum() - Method in interface ai.libs.jaicore.math.linearalgebra.Vector

Returns the sum over the values of the dimensions of this vector.

T

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

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

toDenseVector() - Method in interface ai.libs.jaicore.math.linearalgebra.Vector

Returns this vector as DenseDoubleVector.

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

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

toSparseVector() - Method in interface ai.libs.jaicore.math.linearalgebra.Vector

Returns this vector as SparseDoubleVector.

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

V

Vector - Interface in ai.libs.jaicore.math.linearalgebra

This interface defines all methods, which are required by all vector implementations.

Z

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

zeroAllDimensions() - Method in interface ai.libs.jaicore.math.linearalgebra.Vector

Sets all dimensions of this vector to 0.

A D E F G H I K L M N R S T V Z