Package ai.libs.jaicore.math.linearalgebra

Class SparseDoubleVector

java.lang.Object

ai.libs.jaicore.math.linearalgebra.AbstractVector

ai.libs.jaicore.math.linearalgebra.SparseDoubleVector

All Implemented Interfaces:

org.api4.java.common.math.IVector

public class SparseDoubleVector
extends AbstractVector

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

Field Summary

Fields

Modifier and Type	Field	Description
protected no.uib.cipr.matrix.sparse.SparseVector	internalVector

Constructor Summary

Constructors

Constructor	Description
SparseDoubleVector(double[] data)	Creates a new SparseDoubleVector which contains the given values.
SparseDoubleVector(int dimension)	Creates a new SparseDoubleVector which contains only zero values.
SparseDoubleVector(int[] indices, double[] values, int dimension)	Creates a new SparseDoubleVector which contains the given values.
SparseDoubleVector(no.uib.cipr.matrix.sparse.SparseVector mtjVector)	Creates a new SparseDoubleVector from an MTJ SparseVector.

Method Summary

Modifier and Type	Method	Description
void	addConstant(double constant)
void	addVector(double[] vectorAsArray)
void	addVector(org.api4.java.common.math.IVector vector)
double[]	asArray()
void	divideByConstant(double constant)
void	divideByVectorPairwise(double[] vectorAsArray)
void	divideByVectorPairwise(org.api4.java.common.math.IVector secondVector)
double	dotProduct(double[] vectorAsArray)
double	dotProduct(org.api4.java.common.math.IVector vector)
org.api4.java.common.math.IVector	duplicate()
boolean	equals(java.lang.Object obj)
void	fillRandomly()
int[]	getNonZeroIndices()	Returns an array containing the non-zero indices of this sparse vector.
double	getValue(int index)
int	hashCode()
boolean	isSparse()
org.api4.java.common.math.IVector	kroneckerProduct(double[] vectorAsArray)
int	length()
void	multiplyByConstant(double constant)
void	multiplyByVectorPairwise(double[] vectorAsArray)
void	multiplyByVectorPairwise(org.api4.java.common.math.IVector secondVector)
void	normalize()
void	setValue(int index, double value)
void	subtractConstant(double constant)
void	subtractVector(double[] vectorAsArray)
void	subtractVector(org.api4.java.common.math.IVector vector)
DenseDoubleVector	toDenseVector()
SparseDoubleVector	toSparseVector()

Methods inherited from class ai.libs.jaicore.math.linearalgebra.AbstractVector

addConstantToCopy, addVectorToCopy, addVectorToCopy, average, divideByConstantToCopy, divideByVectorPairwiseToCopy, divideByVectorPairwiseToCopy, euclideanNorm, incrementValueAt, kroneckerProductInternal, mean, multiplyByConstantToCopy, multiplyByVectorPairwiseToCopy, multiplyByVectorPairwiseToCopy, squareRoot, squareRootToCopy, standardDeviation, subtractConstantFromCopy, subtractVectorFromCopy, subtractVectorFromCopy, sum, toString, zeroAllDimensions

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Methods inherited from interface org.api4.java.common.math.IVector

stream

Field Detail

internalVector

protected no.uib.cipr.matrix.sparse.SparseVector internalVector

Constructor Detail

SparseDoubleVector

public SparseDoubleVector(int[] indices,
                          double[] values,
                          int dimension)

Creates a new SparseDoubleVector which contains the given values.

Parameters:

indices - An array which includes all indices for which there exists a value.

values - An array which contains all values.

dimension - The total dimension of the vector.

SparseDoubleVector

public SparseDoubleVector(int dimension)

Creates a new SparseDoubleVector which contains only zero values.

Parameters:

dimension - The dimension of the vector.

SparseDoubleVector

public SparseDoubleVector(double[] data)

Creates a new SparseDoubleVector which contains the given values.

Parameters:

data - A double array, which can be interpreted as a vector.

SparseDoubleVector

public SparseDoubleVector(no.uib.cipr.matrix.sparse.SparseVector mtjVector)

Creates a new SparseDoubleVector from an MTJ SparseVector.

Parameters:

mtjVector - The MTJ vector.

Method Detail

addVector

public void addVector(double[] vectorAsArray)

subtractVector

public void subtractVector(double[] vectorAsArray)

multiplyByVectorPairwise

public void multiplyByVectorPairwise(double[] vectorAsArray)

divideByVectorPairwise

public void divideByVectorPairwise(double[] vectorAsArray)

dotProduct

public double dotProduct(double[] vectorAsArray)

length

public int length()

getValue

public double getValue(int index)

setValue

public void setValue(int index,
                     double value)

addVector

public void addVector(org.api4.java.common.math.IVector vector)

subtractVector

public void subtractVector(org.api4.java.common.math.IVector vector)

multiplyByVectorPairwise

public void multiplyByVectorPairwise(org.api4.java.common.math.IVector secondVector)

multiplyByConstant

public void multiplyByConstant(double constant)

divideByVectorPairwise

public void divideByVectorPairwise(org.api4.java.common.math.IVector secondVector)

divideByConstant

public void divideByConstant(double constant)

dotProduct

public double dotProduct(org.api4.java.common.math.IVector vector)

isSparse

public boolean isSparse()

asArray

public double[] asArray()

toDenseVector

public DenseDoubleVector toDenseVector()

Specified by:

toDenseVector in class AbstractVector

toSparseVector

public SparseDoubleVector toSparseVector()

Specified by:

toSparseVector in class AbstractVector

duplicate

public org.api4.java.common.math.IVector duplicate()

normalize

public void normalize()

addConstant

public void addConstant(double constant)

subtractConstant

public void subtractConstant(double constant)

fillRandomly

public void fillRandomly()

getNonZeroIndices

public int[] getNonZeroIndices()

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

Returns:

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

kroneckerProduct

public org.api4.java.common.math.IVector kroneckerProduct(double[] vectorAsArray)

hashCode

public int hashCode()

Overrides:

hashCode in class AbstractVector

equals

public boolean equals(java.lang.Object obj)

Overrides:

equals in class AbstractVector