mikera.vectorz.impl

Class ASingleElementVector

java.lang.Object

mikera.arrayz.impl.AbstractArray<Double>

mikera.vectorz.AVector

mikera.vectorz.impl.ASizedVector

mikera.vectorz.impl.ASparseVector

mikera.vectorz.impl.ASingleElementVector

All Implemented Interfaces:

Serializable, Cloneable, Comparable<AVector>, Iterable<Double>, INDArray, ISparse, ISparseVector, IVector

Direct Known Subclasses:

AxisVector, SingleElementVector

public abstract class ASingleElementVector
extends ASparseVector

Abstract base classes for sparse vectors that have a single potentially non-zero element

Author:

Mike

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field and Description
protected int	index

Fields inherited from class mikera.vectorz.impl.ASizedVector

length

Constructor Summary

Constructors

Modifier	Constructor and Description
protected	ASingleElementVector(int index, int length)

Method Summary

Modifier and Type	Method and Description
double	dotProduct(AVector v) Returns the dot product of this vector with another vector The vectors must have the same length: if not the result is undefined
double	dotProduct(double[] data, int offset) Fast dot product with a double[] array.
boolean	equals(AVector v)
protected int	index()
int	nonSparseElementCount() Returns the number of non-sparse elements in the sparse vector.
Index	nonSparseIndex() Returns an Index indicating which elements of this vector are defined as non-sparse.
AVector	nonSparseValues() Returns the non-sparse elements as a compacted vector
int[]	nonZeroIndices() Return an int array specifying the positions in this vector which are non-zero
protected abstract double	value()

Methods inherited from class mikera.vectorz.impl.ASparseVector

add, add, addMultiple, clone, copyTo, copyTo, distanceL1, distanceLinf, distanceSquared, dotProduct, elementAbsPowSum, elementPowSum, elementProduct, elementSquaredSum, elementSum, equals, getSlices, hasUncountable, includesIndex, innerProduct, isSparse, isView, isZero, nonZeroCount, reduce, reduce, reduceSlices, roundToZero, sparse, toDoubleArray, toSparseIndexedVector

Methods inherited from class mikera.vectorz.impl.ASizedVector

checkIndex, checkLength, checkRange, checkSameLength, checkSameLength, elementCount, equalsArray, equalsArray, get, getShape, getShapeClone, isSameShape, length, sliceCount

Methods inherited from class mikera.vectorz.AVector

abs, absCopy, add, add, add, add, add, add, add, add, addAt, addAt, addCopy, addCopy, addCopy, addInnerProduct, addInnerProduct, addInnerProduct, addMultiple, addMultiple, addMultiple, addMultiple, addMultiple, addMultiple, addMultiple, addMultipleCopy, addMultipleToArray, addMultipleToArray, addPower, addPower, addPower, addProduct, addProduct, addProduct, addProductCopy, addProductCopy, addProductToArray, addProductToArray, addToArray, addToArray, addToArray, addWeighted, angle, applyOp, applyOp, applyOp, applyOp, applyOp, applyOpCopy, asDoubleArray, asElementList, asVector, broadcast, broadcastLike, broadcastLike, broadcastLike, checkDimension, checkSameLength, clamp, clampMax, clampMin, compareTo, copy, copyTo, copyTo, copyTo, crossProduct, crossProduct, dense, denseClone, dimensionality, distance, divide, divide, divide, divide, divideCopy, divideCopy, divideTo, dotProduct, dotProduct, elementIterator, elementMax, elementMin, elementsEqual, epsilonEquals, epsilonEquals, epsilonEquals, epsilonEquals, equals, equals, exactClone, fill, fillRange, get, get, get, get, get, getElements, getElements, getElements, getLongShape, getShape, getTranspose, getTransposeCopy, getTransposeView, hashCode, immutable, innerProduct, innerProduct, innerProduct, innerProduct, innerProduct, interpolate, isElementConstrained, isFullyMutable, isMutable, isRangeZero, isSameShape, isUnitLengthVector, isUnitLengthVector, iterator, join, join, join, log, logistic, magnitude, magnitudeSquared, maxAbsElement, maxAbsElementIndex, maxElement, maxElementIndex, minElement, minElementIndex, multiply, multiply, multiply, multiply, multiply, multiplyCopy, multiplyCopy, multiplyCopy, multiplyTo, mutable, negate, negateCopy, nonZeroValues, normalise, normaliseCopy, normaliseMaxAbsElement, outerProduct, outerProduct, pow, projectToPlane, reduceSlices, reorder, reorder, reshape, rotateCopy, rotateView, rotateView, scale, scaleAdd, scaleAdd, scaleAdd, scaleAdd, scaleCopy, scaleToMagnitude, select, selectClone, selectView, set, set, set, set, set, set, set, set, set, set, set, setElements, setElements, setElements, setInnerProduct, setInnerProduct, setInnerProduct, setMultiple, setMultiple, setMultiple, setMultiple, shiftCopy, signum, slice, slice, sliceValue, softmax, softmaxCopy, sparseClone, sqrtCopy, square, squareCopy, sub, sub, subArray, subAt, subCopy, subCopy, subMultiple, subVector, tanh, toDoubleBuffer, toList, toNormal, toSliceArray, toString, toStringFull, toVector, tryEfficientJoin, unsafeGet, unsafeSet, validate

Methods inherited from class mikera.arrayz.impl.AbstractArray

add, addInnerProduct, addInnerProduct, addOuterProduct, broadcastCloneLike, broadcastCopyLike, checkMutable, componentCount, density, ensureMutable, exp, get, get, get, getComponent, getComponents, getElements, getElements, getSlices, getSliceViews, isBoolean, isDense, reciprocal, reciprocalCopy, scale, set, set, signumCopy, sqrt, sub, sub, toArray, withComponents

Methods inherited from class java.lang.Object

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

Methods inherited from interface mikera.vectorz.IVector

addCopy, divideCopy, epsilonEquals, get, isSameShape, length, multiplyCopy, normalise, normaliseCopy, rotateCopy, rotateView, set, shiftCopy, sqrtCopy, subCopy

Methods inherited from interface mikera.arrayz.INDArray

abs, absCopy, add, add, addAt, addCopy, addCopy, addInnerProduct, addMultiple, addOuterProduct, addPower, addPower, addToArray, applyOp, applyOp, applyOp, applyOp, applyOpCopy, asDoubleArray, asElementList, asVector, broadcast, broadcastCloneLike, broadcastCopyLike, broadcastLike, broadcastLike, broadcastLike, checkMutable, clamp, componentCount, copy, dense, denseClone, dimensionality, divide, divide, divideCopy, elementCount, elementIterator, elementMax, elementMin, elementsEqual, ensureMutable, epsilonEquals, epsilonEquals, equals, equalsArray, equalsArray, exactClone, exp, fill, get, get, get, get, get, get, get, get, getComponent, getComponents, getElements, getElements, getElements, getElements, getLongShape, getShape, getShape, getShapeClone, getSlices, getSliceViews, getTranspose, getTransposeCopy, getTransposeView, immutable, innerProduct, innerProduct, innerProduct, innerProduct, isBoolean, isDense, isElementConstrained, isFullyMutable, isMutable, isSameShape, join, join, log, multiply, multiply, multiplyCopy, multiplyCopy, mutable, negate, negateCopy, outerProduct, pow, reciprocal, reciprocalCopy, reduceSlices, reorder, reorder, reshape, rotateView, scale, scaleAdd, scaleAdd, scaleCopy, set, set, set, set, set, set, setElements, setElements, setElements, setInnerProduct, setMultiple, setMultiple, signum, signumCopy, slice, slice, sliceCount, sliceValue, sparseClone, sqrt, square, squareCopy, sub, sub, subArray, subCopy, toArray, toDoubleBuffer, toSliceArray, toVector, validate, withComponents

Methods inherited from interface mikera.arrayz.ISparse

density

Methods inherited from interface java.lang.Iterable

forEach, spliterator

Field Detail

index

protected final int index

Constructor Detail

ASingleElementVector

protected ASingleElementVector(int index,
                               int length)

Method Detail

value

protected abstract double value()

index

protected final int index()

dotProduct

public double dotProduct(AVector v)

Description copied from class: AVector

Returns the dot product of this vector with another vector The vectors must have the same length: if not the result is undefined

Overrides:

dotProduct in class ASparseVector

Returns:

dotProduct

public double dotProduct(double[] data,
                         int offset)

Description copied from class: AVector

Fast dot product with a double[] array. Performs no bounds checking. Likely to be faster than most other dot product operations

Specified by:

dotProduct in class AVector

nonSparseElementCount

public int nonSparseElementCount()

Description copied from class: ASparseVector

Returns the number of non-sparse elements in the sparse vector. This will be greater or equal to the number of non-zero elements

Specified by:

nonSparseElementCount in class ASparseVector

Returns:

nonSparseValues

public AVector nonSparseValues()

Description copied from interface: ISparseVector

Returns the non-sparse elements as a compacted vector

Specified by:

nonSparseValues in interface ISparseVector

Specified by:

nonSparseValues in class ASparseVector

Returns:

nonSparseIndex

public Index nonSparseIndex()

Description copied from class: AVector

Returns an Index indicating which elements of this vector are defined as non-sparse. A sparse index must be zero. A non-sparse element may be zero, but is expected be non-zero.

Specified by:

nonSparseIndex in interface ISparseVector

Specified by:

nonSparseIndex in class ASparseVector

Returns:

equals

public boolean equals(AVector v)

Overrides:

equals in class ASparseVector

nonZeroIndices

public int[] nonZeroIndices()

Description copied from class: AVector

Return an int array specifying the positions in this vector which are non-zero

Overrides:

nonZeroIndices in class AVector

Returns: