mikera.vectorz.impl

Class ASparseVector

java.lang.Object

mikera.arrayz.AbstractArray<Double>

mikera.vectorz.AVector

mikera.vectorz.impl.ASparseVector

All Implemented Interfaces:

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

Direct Known Subclasses:

SparseIndexedVector

public abstract class ASparseVector
extends AVector
implements ISparse

Abstract base class for Sparse vector implementations

Author:

Mike

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
ASparseVector()

Method Summary

Methods

Modifier and Type	Method and Description
double	density() Computes the density ratio of this sparse array (proportion of non-zero elements)
abstract boolean	includesIndex(int i) Returns true iff the sparse vector contains the index i
abstract int	nonSparseElementCount() Returns the number of non-sparse elements in the sparse vector.
abstract Index	nonSparseIndexes() Returns the non-sparse indexes
abstract AVector	nonSparseValues() Returns the non-sparse values as a compacted vector view

Methods inherited from class mikera.vectorz.AVector

abs, add, add, add, add, add, add, addAt, addMultiple, addMultiple, addMultiple, addMultiple, addMultiple, addMultiple, addMultiple, addMultiple, addMultipleToArray, addProduct, addProduct, addProduct, addProductToArray, addProductToArray, addToArray, addWeighted, angle, applyOp, applyOp, asElementList, asVector, broadcast, clamp, clampMax, clampMin, clone, compareTo, copyTo, copyTo, copyTo, copyTo, copyTo, countZeros, crossProduct, dimensionality, distance, distanceL1, distanceLinf, distanceSquared, divide, divide, divide, divideTo, dotProduct, dotProduct, elementCount, elementSum, epsilonEquals, epsilonEquals, equals, equals, equals, equalsArray, exactClone, fill, fillRange, get, get, getElements, getLongShape, getShape, getSlices, hashCode, innerProduct, innerProduct, innerProduct, interpolate, interpolate, isElementConstrained, isFullyMutable, isMutable, isUnitLengthVector, isView, isZeroVector, iterator, join, length, magnitude, magnitudeSquared, maxAbsElement, multiply, multiply, multiply, multiplyTo, negate, normalise, normaliseMaxAbsElement, outerProduct, outerProduct, projectToPlane, reshape, scale, scaleAdd, scaleAdd, scaleToMagnitude, set, set, set, set, set, set, set, set, set, setElements, setValues, signum, slice, sliceCount, square, sub, sub, sub, subMultiple, subVector, toArray, toList, toString, validate

Methods inherited from class mikera.arrayz.AbstractArray

get, get, scale, set, set, setElements

Methods inherited from class java.lang.Object

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

Methods inherited from interface mikera.arrayz.INDArray

get, get, scale, set, set, setElements

Constructor Detail

ASparseVector

public ASparseVector()

Method Detail

nonSparseElementCount

public abstract int nonSparseElementCount()

Returns the number of non-sparse elements in the sparse vector.

Returns:

nonSparseValues

public abstract AVector nonSparseValues()

Returns the non-sparse values as a compacted vector view

Returns:

nonSparseIndexes

public abstract Index nonSparseIndexes()

Returns the non-sparse indexes

includesIndex

public abstract boolean includesIndex(int i)

Returns true iff the sparse vector contains the index i

Parameters:

i -

Returns:

density

public double density()

Description copied from interface: ISparse

Computes the density ratio of this sparse array (proportion of non-zero elements)

Specified by:

density in interface ISparse

Returns: