net.librec.math.structure

Class DiagMatrix

java.lang.Object

net.librec.math.structure.SparseMatrix

net.librec.math.structure.DiagMatrix

All Implemented Interfaces:

java.io.Serializable, java.lang.Iterable<MatrixEntry>, DataMatrix, DataSet

public class DiagMatrix
extends SparseMatrix

See Also:

Serialized Form

Field Summary

Fields inherited from class net.librec.math.structure.SparseMatrix

colData, colInd, colPtr, isShuffle, numColumns, numRows, rowData, rowInd, rowPtr, shuffleCursor, shuffleRow

Constructor Summary

Constructors

Constructor and Description
DiagMatrix(DiagMatrix mat)
DiagMatrix(int rows, int cols, com.google.common.collect.Table<java.lang.Integer,java.lang.Integer,java.lang.Double> dataTable, com.google.common.collect.Multimap<java.lang.Integer,java.lang.Integer> colMap)

Method Summary

Methods

Modifier and Type	Method and Description
DiagMatrix	add(DiagMatrix that) do B + C diagonal matrix operation
DiagMatrix	add(double val) Each diagonal entry addes val
DiagMatrix	addEqual(DiagMatrix that) do B + C diagonal matrix operation
DiagMatrix	addEqual(double val) Each diagonal entry addes val
DiagMatrix	clone() Make a deep clone of current matrix
static DiagMatrix	eye(int n)
DiagMatrix	minus(DiagMatrix that) Do B - C diagonal matrix operation
DiagMatrix	minus(double val) Each diagonal entry abstracts val
DiagMatrix	minusEqual(DiagMatrix that) Do B - C diagonal matrix operation
DiagMatrix	minusEqual(double val) Each diagonal entry abstracts val
DiagMatrix	scale(double val) Return a new diagonal matrix by scaling the current diagonal matrix.
DiagMatrix	scaleEqual(double val) Return this diagonal matrix by scaling the current diagonal matrix.

Methods inherited from class net.librec.math.structure.SparseMatrix

add, colIterator, column, columnCache, columnRowsCache, columns, columnSize, contains, get, getColumnIndices, getColumns, getColumnsSet, getData, getDataTable, getRowPointers, getRows, getRowsSet, getValueSet, iterator, matString, mean, normalize, normalize, numColumns, numRows, reshape, reshape, row, row, rowCache, rowColumnsCache, rowColumnsSetCache, rowIterator, rows, rowSize, set, size, standardize, sum, toString, transpose

Methods inherited from class java.lang.Object

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

Constructor Detail

DiagMatrix

public DiagMatrix(int rows,
          int cols,
          com.google.common.collect.Table<java.lang.Integer,java.lang.Integer,java.lang.Double> dataTable,
          com.google.common.collect.Multimap<java.lang.Integer,java.lang.Integer> colMap)

DiagMatrix

public DiagMatrix(DiagMatrix mat)

Method Detail

clone

public DiagMatrix clone()

Description copied from class: SparseMatrix

Make a deep clone of current matrix

Overrides:

clone in class SparseMatrix

Returns:

a deep clone of current matrix

scale

public DiagMatrix scale(double val)

Return a new diagonal matrix by scaling the current diagonal matrix.

Parameters:

val - a given value for scaling

Returns:

a new diagonal matrix by scaling the current diagonal matrix

scaleEqual

public DiagMatrix scaleEqual(double val)

Return this diagonal matrix by scaling the current diagonal matrix.

Parameters:

val - a given value for scaling

Returns:

this diagonal matrix by scaling the current diagonal matrix

add

public DiagMatrix add(DiagMatrix that)

do B + C diagonal matrix operation

Parameters:

that - a value to be added

Returns:

a new diagonal matrix A = B + C

addEqual

public DiagMatrix addEqual(DiagMatrix that)

do B + C diagonal matrix operation

Parameters:

that - a value to be added

Returns:

this diagonal matrix B = B + C

add

public DiagMatrix add(double val)

Each diagonal entry addes val

Parameters:

val - a value to be added

Returns:

a new diagonal matrix A = B + c

addEqual

public DiagMatrix addEqual(double val)

Each diagonal entry addes val

Parameters:

val - a value to be added

Returns:

this diagonal matrix B = B + c

minus

public DiagMatrix minus(DiagMatrix that)

Do B - C diagonal matrix operation

Parameters:

that - a value to be abstracted

Returns:

a new diagonal matrix A = B - C

minusEqual

public DiagMatrix minusEqual(DiagMatrix that)

Do B - C diagonal matrix operation

Parameters:

that - a value to be abstracted

Returns:

this diagonal matrix B = B - C

minus

public DiagMatrix minus(double val)

Each diagonal entry abstracts val

Parameters:

val - a value to be abstracted

Returns:

a new diagonal matrix A = B - c

minusEqual

public DiagMatrix minusEqual(double val)

Each diagonal entry abstracts val

Parameters:

val - a value to be abstracted

Returns:

this diagonal matrix B = B - c

eye

public static DiagMatrix eye(int n)