gov.sandia.cognition.math.matrix.mtj

Class SparseVectorFactoryMTJ

java.lang.Object

gov.sandia.cognition.math.matrix.VectorFactory<VectorType>

gov.sandia.cognition.math.matrix.SparseVectorFactory<SparseVector>

gov.sandia.cognition.math.matrix.mtj.SparseVectorFactoryMTJ

All Implemented Interfaces:

java.io.Serializable

public class SparseVectorFactoryMTJ
extends SparseVectorFactory<SparseVector>

Factory for MTJ's SparseVector

Since:

1.0

Author:

Kevin R. Dixon

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field and Description
static SparseVectorFactoryMTJ	INSTANCE Default instance of this

Fields inherited from class gov.sandia.cognition.math.matrix.VectorFactory

DEFAULT_DENSE_INSTANCE, DEFAULT_SPARSE_INSTANCE

Constructor Summary

Constructors

Constructor and Description
SparseVectorFactoryMTJ() Creates a new instance of SparseVectorFactoryMTJ

Method Summary

Modifier and Type	Method and Description
SparseVector	copyVector(Vector m) Creates a deep copy new Vector given another, argument is unchanged
SparseVector	createVector(int dim) Creates an empty Vector of the specified dimension, all elements must be all zeros!
Vector1D	createVector1D(double x) Creates a one-dimensional vector with the given x coordinate: (x).
Vector2	createVector2D(double x, double y) Creates a two-dimensional vector with the given x and y coordinates: (x, y).
Vector3	createVector3D(double x, double y, double z) Creates a three-dimensional vector with the given x, y, and z coordinates: (x, y, z).
SparseVector	createVectorCapacity(int dimensionality, int initialCapacity) Creates a new, empty vector with the given dimensionality and expected number of nonzero elements.
SparseVector	createWrapper(no.uib.cipr.matrix.sparse.SparseVector internalVector) Creates a new wrapper for a sparse MTJ vector.
MatrixFactory<?>	getAssociatedMatrixFactory() Gets the matrix factory implementation associated with this vector factory.

Methods inherited from class gov.sandia.cognition.math.matrix.SparseVectorFactory

getDefault

Methods inherited from class gov.sandia.cognition.math.matrix.VectorFactory

copyArray, copyArray, copyMap, copyValues, copyValues, createGaussianRandom, createUniformRandom, createUniformRandom, createVector, createVector1D, createVector2D, createVector3D, getDenseDefault, getSparseDefault

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

INSTANCE

public static final SparseVectorFactoryMTJ INSTANCE

Default instance of this

Constructor Detail

SparseVectorFactoryMTJ

public SparseVectorFactoryMTJ()

Creates a new instance of SparseVectorFactoryMTJ

Method Detail

copyVector

public SparseVector copyVector(Vector m)

Description copied from class: VectorFactory

Creates a deep copy new Vector given another, argument is unchanged

Specified by:

copyVector in class VectorFactory<SparseVector>

Parameters:

m - Vector to copy

Returns:

Deep copy of the given Vector

createVector

public SparseVector createVector(int dim)

Description copied from class: VectorFactory

Creates an empty Vector of the specified dimension, all elements must be all zeros!

Specified by:

createVector in class VectorFactory<SparseVector>

Parameters:

dim - number of elements in the Vector

Returns:

A new Vector or the given dimensionality with all zero elements.

createVectorCapacity

public SparseVector createVectorCapacity(int dimensionality,
                                         int initialCapacity)

Description copied from class: VectorFactory

Creates a new, empty vector with the given dimensionality and expected number of nonzero elements.

Specified by:

createVectorCapacity in class VectorFactory<SparseVector>

Parameters:

dimensionality - The dimensionality for the vector to create.

initialCapacity - The expected initial number of nonzero elements of the vector to create.

Returns:

A new vector with the given dimensionality and capacity for at least the given number of nonzeros.

createVector1D

public Vector1D createVector1D(double x)

Description copied from class: VectorFactory

Creates a one-dimensional vector with the given x coordinate: (x). This is useful mainly for creating a vector wrapper for the double.

Specified by:

createVector1D in class VectorFactory<SparseVector>

Parameters:

x - The x coordinate.

Returns:

A new one-dimensional vector with the given coordinate.

createVector2D

public Vector2 createVector2D(double x,
                              double y)

Description copied from class: VectorFactory

Creates a two-dimensional vector with the given x and y coordinates: (x, y).

Specified by:

createVector2D in class VectorFactory<SparseVector>

Parameters:

x - The x coordinate.

y - The y coordinate.

Returns:

A new two-dimensional vector with the given coordinates.

createVector3D

public Vector3 createVector3D(double x,
                              double y,
                              double z)

Description copied from class: VectorFactory

Creates a three-dimensional vector with the given x, y, and z coordinates: (x, y, z).

Specified by:

createVector3D in class VectorFactory<SparseVector>

Parameters:

x - The x coordinate.

y - The y coordinate.

z - The z coordinate.

Returns:

A new three-dimensional vector with the given coordinates.

createWrapper

public SparseVector createWrapper(no.uib.cipr.matrix.sparse.SparseVector internalVector)

Creates a new wrapper for a sparse MTJ vector.

Parameters:

internalVector - The MTJ vector to wrap.

Returns:

A wrapper of the given MTJ vector.

getAssociatedMatrixFactory

public MatrixFactory<?> getAssociatedMatrixFactory()

Description copied from class: VectorFactory

Gets the matrix factory implementation associated with this vector factory.

Specified by:

getAssociatedMatrixFactory in class VectorFactory<SparseVector>

Returns:

The associated matrix factory.