mikera.vectorz.impl

Class ASparseVector

java.lang.Object

mikera.vectorz.AVector

mikera.vectorz.impl.ASparseVector

All Implemented Interfaces:

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

Direct Known Subclasses:

SparseIndexedVector

public abstract class ASparseVector
extends AVector

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
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 AVector	nonSparseValues() Returns the non-sparse values as a vector view

Methods inherited from class mikera.vectorz.AVector

absolute, add, add, addMultiple, addMultiple, addMultiple, addMultipleToArray, addProduct, addProduct, addProduct, addToArray, addWeighted, angle, asList, asVector, clamp, clampMax, clampMin, clone, compareTo, copy, copyTo, copyTo, dimensionality, distance, distanceL1, distanceLinf, distanceSquared, divide, divide, divide, divideTo, dotProduct, dotProduct, elementSum, epsilonEquals, epsilonEquals, equals, fill, fillRange, get, get, hashCode, interpolate, interpolate, isFullyMutable, isMutable, isReference, isUnitLengthVector, isZeroVector, iterator, join, length, magnitude, magnitudeSquared, maxAbsElement, multiply, multiply, multiply, multiplyTo, negate, normalise, normaliseMaxAbsElement, projectToPlane, reshape, scale, scale, scaleAdd, scaleToMagnitude, set, set, set, set, set, setValues, sub, subMultiple, subVector, toArray, toList, toString

Methods inherited from class java.lang.Object

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

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 vector view

Returns:

includesIndex

public abstract boolean includesIndex(int i)

Returns true iff the sparse vector contains the index i

Parameters:

i -

Returns: