no.uib.cipr.matrix.sparse
Class SparseVector

java.lang.Object
  no.uib.cipr.matrix.AbstractVector
      no.uib.cipr.matrix.sparse.SparseVector

All Implemented Interfaces:

java.io.Serializable, java.lang.Iterable<VectorEntry>, ISparseVector, Vector

public class SparseVector
extends AbstractVector
implements ISparseVector

Sparse vector

See Also:

Serialized Form

Nested Class Summary

Nested classes/interfaces inherited from interface no.uib.cipr.matrix.Vector

Vector.Norm

Field Summary

Fields inherited from class no.uib.cipr.matrix.AbstractVector

size

Constructor Summary

SparseVector(int size)
Constructor for SparseVector.

SparseVector(int size, int nz)
Constructor for SparseVector.

SparseVector(int size, int[] index, double[] data)
Constructor for SparseVector

SparseVector(int size, int[] index, double[] data, boolean deep)
Constructor for SparseVector

SparseVector(Vector x)
Constructor for SparseVector, and copies the contents from the supplied vector.

SparseVector(Vector x, boolean deep)
Constructor for SparseVector, and copies the contents from the supplied vector.

Method Summary

void	add(int index, double value) x(index) += value
void	compact() Compacts the vector
SparseVector	copy() Creates a deep copy of the vector
double	dot(Vector y) xT*y
double	get(int index) Returns x(index)
double[]	getData() Returns the internal data
int[]	getIndex() Returns the indices
int	getUsed() Number of entries used in the sparse structure
java.util.Iterator<VectorEntry>	iterator()
protected double	norm1()
protected double	norm2_robust()
protected double	norm2()
protected double	normInf()
SparseVector	scale(double alpha) x=alpha*x
void	set(int index, double value) x(index) = value
Vector	set(Vector y) x=y
SparseVector	zero() Zeros all the entries in the vector, while preserving any underlying structure

Methods inherited from class no.uib.cipr.matrix.AbstractVector

add, add, check, checkSize, norm, set, size, toString

Methods inherited from class java.lang.Object

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

Methods inherited from interface no.uib.cipr.matrix.Vector

add, add, norm, set, size

Constructor Detail

SparseVector

public SparseVector(int size,
                    int nz)

Constructor for SparseVector.

Parameters:

size - Size of the vector

nz - Initial number of non-zeros

SparseVector

public SparseVector(Vector x,
                    boolean deep)

Constructor for SparseVector, and copies the contents from the supplied vector.

Parameters:

x - Vector to copy from

deep - True if a deep copy is to be made. If the copy is shallow, x must be a SparseVector

SparseVector

public SparseVector(Vector x)

Constructor for SparseVector, and copies the contents from the supplied vector. Zero initial pre-allocation

Parameters:

x - Vector to copy from. A deep copy is made

SparseVector

public SparseVector(int size)

Constructor for SparseVector. Zero initial pre-allocation

Parameters:

size - Size of the vector

SparseVector

public SparseVector(int size,
                    int[] index,
                    double[] data,
                    boolean deep)

Constructor for SparseVector

Parameters:

size - Size of the vector

index - Indices of the vector

data - Entries of the vector

deep - True for a deep copy. For shallow copies, the given indices will be used internally

SparseVector

public SparseVector(int size,
                    int[] index,
                    double[] data)

Constructor for SparseVector

Parameters:

size - Size of the vector

index - The vector indices are copies from this array

data - The vector entries are copies from this array

Method Detail

set

public void set(int index,
                double value)

Description copied from interface: Vector

x(index) = value

Specified by:

set in interface Vector

Overrides:

set in class AbstractVector

add

public void add(int index,
                double value)

Description copied from interface: Vector

x(index) += value

Specified by:

add in interface Vector

Overrides:

add in class AbstractVector

get

public double get(int index)

Description copied from interface: Vector

Returns x(index)

Specified by:

get in interface Vector

Overrides:

get in class AbstractVector

copy

public SparseVector copy()

Description copied from interface: Vector

Creates a deep copy of the vector

Specified by:

copy in interface Vector

Overrides:

copy in class AbstractVector

zero

public SparseVector zero()

Description copied from interface: Vector

Zeros all the entries in the vector, while preserving any underlying structure

Specified by:

zero in interface Vector

Overrides:

zero in class AbstractVector

scale

public SparseVector scale(double alpha)

Description copied from interface: Vector

x=alpha*x

Specified by:

scale in interface Vector

Overrides:

scale in class AbstractVector

Returns:

x

dot

public double dot(Vector y)

Description copied from interface: Vector

xT*y

Specified by:

dot in interface Vector

Overrides:

dot in class AbstractVector

norm1

protected double norm1()

Overrides:

norm1 in class AbstractVector

norm2

protected double norm2()

Overrides:

norm2 in class AbstractVector

norm2_robust

protected double norm2_robust()

Overrides:

norm2_robust in class AbstractVector

normInf

protected double normInf()

Overrides:

normInf in class AbstractVector

getData

public double[] getData()

Returns the internal data

getIndex

public int[] getIndex()

Returns the indices

Specified by:

getIndex in interface ISparseVector

getUsed

public int getUsed()

Number of entries used in the sparse structure

Specified by:

getUsed in interface ISparseVector

compact

public void compact()

Compacts the vector

iterator

public java.util.Iterator<VectorEntry> iterator()

Specified by:

iterator in interface java.lang.Iterable<VectorEntry>

Overrides:

iterator in class AbstractVector

set

public Vector set(Vector y)

Description copied from interface: Vector

x=y

Specified by:

set in interface Vector

Overrides:

set in class AbstractVector

Returns:

x