org.jmat.data
Class AbstractMatrix

java.lang.Object
  |
  +--org.jmat.data.AbstractDoubleArray
        |
        +--org.jmat.data.AbstractMatrix

All Implemented Interfaces:

ClipBoardPrintable, java.lang.Cloneable, CommandLinePrintable, FilePrintable, java.io.Serializable, StringPrintable, XMLPrintable

Direct Known Subclasses:

LightMatrix, MapedMatrix, Matrix, SparseMatrix

public abstract class AbstractMatrix

extends AbstractDoubleArray

implements CommandLinePrintable, StringPrintable, XMLPrintable, FilePrintable, ClipBoardPrintable

Description : Class designed to implement all algebraic, visualisation and others ... methods of the matrix classes.

Copyright : LGPL

See Also:

Serialized Form

Field Summary

Fields inherited from class org.jmat.data.AbstractDoubleArray

m, n

Constructor Summary

AbstractMatrix(int _m, int _n)
Construct an m-by-n matrix of zeros.

Method Summary

CholeskyDecomposition	cholesky() Cholesky Decomposition
double	condition() Matrix condition (2 norm)
AbstractMatrix	copy() Copy the Matrix object.
AbstractMatrix	correlation() Generate a correlation matrix, each column contains values of a pulling.
AbstractMatrix	covariance() Generate a covariance matrix, each column contains values of a pulling.
AbstractMatrix	cumProduct() Generate a row matrix, each column contents the product value of the columns.
AbstractMatrix	cumSum() Generate a row matrix, each column contents the sum value of the columns.
AbstractMatrix	deleteColumn(int J) Delete a Column to Matrix.
AbstractMatrix	deleteColumns(int[] J) Delete a Column to Matrix.
AbstractMatrix	deleteColumns(int j0, int j1) Delete a Column to Matrix.
AbstractMatrix	deleteRow(int I) delete a Row to Matrix.
AbstractMatrix	deleteRows(int[] I) delete a Row to Matrix.
AbstractMatrix	deleteRows(int i0, int i1) delete a Row to Matrix.
double	determinant() Matrix determinant
AbstractMatrix	distance(AbstractDoubleArray B, double pow) Generate a matrix, each column contents the N-distance between the columns.
AbstractMatrix	divide(AbstractMatrix B) Linear algebraic matrix division, A / B
AbstractMatrix	divide(double s) Multiply a matrix by a scalar, C = s*A
void	divideEquals(double s) Multiply a matrix by a scalar, C = s*A
AbstractMatrix	ebeAbs() Absolute value of each element
void	ebeAbsEquals() Element-by-element absolute value
AbstractMatrix	ebeCos() Element-by-element cosinus
void	ebeCosEquals() Element-by-element cosinus
AbstractMatrix	ebeDivide(AbstractMatrix B) Element-by-element right division, C = A.
void	ebeDivideEquals(AbstractMatrix B) Element-by-element right division, C = A.
AbstractMatrix	ebeExp() Element-by-element exponential
void	ebeExpEquals() Element-by-element exponential
AbstractMatrix	ebeFunction(DoubleFunction fun) Element-by-element function evaluation
void	ebeFunctionEquals(DoubleFunction fun) Element-by-element absolute value
AbstractMatrix	ebeInverse() Element-by-element inverse
void	ebeInverseEquals() Element-by-element inverse
AbstractMatrix	ebeLog() Element-by-element neperian logarithm
void	ebeLogEquals() Element-by-element neperian logarithm
AbstractMatrix	ebePower(double p) Element-by-element power
AbstractMatrix	ebePower(Matrix B) Element-by-element power
void	ebePowerEquals(AbstractMatrix B) Element-by-element power
void	ebePowerEquals(double p) Element-by-element power
AbstractMatrix	ebeSin() Element-by-element sinus
void	ebeSinEquals() Element-by-element sinus
AbstractMatrix	ebeSqrt() Square root of each element
void	ebeSqrtEquals() Element-by-element square root
AbstractMatrix	ebeTimes(AbstractMatrix B) Element-by-element multiplication, C = A.
void	ebeTimesEquals(AbstractMatrix B) Element-by-element multiplication, C = A.
EigenvalueDecomposition	eig() Eigenvalue Decomposition
Finding	find(double min, double max) Find an element
Finding	find(java.lang.String test, double val) Find an element
static AbstractMatrix	fromASCIIFile(java.io.File file) Load the Matrix from a file
static AbstractMatrix	fromClipBoard() Load the Matrix from the clipboard
static AbstractMatrix	fromString(java.lang.String s) Load the Matrix from a String
static AbstractMatrix	fromXMLElement(org.jdom.Element e) Load the Matrix from a MathML (XML) Element
AbstractMatrix	getColumn(int j) Copy an internal one-dimensional array from a column.
AbstractMatrix	getColumns(int[] J) Copy an internal one-dimensional array from a column.
AbstractMatrix	getColumns(int j0, int j1) Copy an internal one-dimensional array from a column.
AbstractMatrix	getDiagonal() Matrix diagonal extraction.
AbstractMatrix	getDiagonal(int num) Matrix diagonal extraction.
AbstractDoubleArray	getDoubleArrayCopy()
abstract AbstractMatrix	getInstance(int _m, int _n) Construct an m-by-n matrix of zeros.
AbstractMatrix	getInstanceCopyOf(AbstractMatrix M) Construct an m-by-n matrix of zeros.
AbstractMatrix	getRow(int i) Copy an internal one-dimensional array from a row.
AbstractMatrix	getRows(int[] I) Copy an internal one-dimensional array from many rows.
AbstractMatrix	getRows(int i0, int i1) Copy an internal one-dimensional array from many rows.
AbstractMatrix	getSubMatrix(int i0, int i1, int j0, int j1) Get a submatrix.
AbstractMatrix	insertColumns(int J, AbstractDoubleArray B) Insert a Column into Matrix.
AbstractMatrix	insertRows(int I, AbstractDoubleArray B) Insert a Row into Matrix.
AbstractMatrix	inverse() Matrix inverse or pseudoinverse
LUDecomposition	lu() LU Decomposition
AbstractMatrix	max() Generate a row matrix, each column contents the maximum value of the columns.
AbstractMatrix	mean() Generate a row matrix, each column contents the mean value of the columns.
AbstractMatrix	mergeColumns(AbstractDoubleArray B) Matrix merging.
AbstractMatrix	mergeRows(AbstractDoubleArray B) Matrix merging.
AbstractMatrix	min() Generate a row matrix, each column contents the minimum value of the columns.
AbstractMatrix	minus(AbstractDoubleArray B) C = A - B
AbstractMatrix	minus(double s) Sub a scalar to each element of a matrix, C = A .- B
void	minusEquals(AbstractDoubleArray B) C = A - B
void	minusEquals(double s) Sub a scalar to each element of a matrix, C = A .- B
double	norm1() One norm
double	norm2() Two norm
double	normFrobenius() Frobenius norm
double	normInfinity() Infinity norm
AbstractMatrix	plus(AbstractDoubleArray B) C = A + B
AbstractMatrix	plus(double s) Add a scalar to each element of a matrix, C = A .+ s
void	plusEquals(AbstractDoubleArray B) C = A + B
void	plusEquals(double s) Add a scalar to each element of a matrix, C = A .+ s
AbstractMatrix	product() Generate a row matrix, each column contents the product value of the columns.
QRDecomposition	qr() QR Decomposition
int	rank() Matrix rank
AbstractMatrix	reshapeColumns(int m2, int n2) Matrix reshaping.
AbstractMatrix	reshapeRows(int m2, int n2) Matrix reshaping.
AbstractMatrix	resize(int m2, int n2) Matrix resizing.
AbstractMatrix	slice(int _n) Slice the matrix
AbstractMatrix	slice(int[] N) Slice the matrix
AbstractMatrix	solve(AbstractMatrix B) Solve A*X = B
AbstractMatrix	sort(int j) Generate a row-permuted matrix, rows are permuted in order to sort the column 'c'
AbstractMatrix	sum() Generate a row matrix, each column contents the sum value of the columns.
SingularValueDecomposition	svd() Singular Value Decomposition
AbstractMatrix	times(AbstractDoubleArray B) Linear algebraic matrix multiplication, A * B
AbstractMatrix	times(double s) Multiply a matrix by a scalar, C = s*A
void	timesEquals(double s) Multiply a matrix by a scalar, C = s*A
void	toASCIIFile(java.io.File file) Save the Matrix in a file.
void	toClipBoard() Copy the Matrix into the clipboard
void	toCommandLine(java.lang.String title) Print the Matrix in the Command Line.
void	toHist2DPanel(Plot2DPanel panel, java.lang.String name, int num) Print the Matrix in a JPanel.
Plot2DPanel	toHist2DPanel(java.lang.String name, int num) Print the Matrix in an histogram in a JPanel.
void	toHist3DPanel(Plot3DPanel panel, java.lang.String name, int num) Print the Matrix in a JPanel.
Plot3DPanel	toHist3DPanel(java.lang.String name, int num) Print the Matrix in a JPanel.
void	toPlot2DPanel(Plot2DPanel panel, java.lang.String name, java.lang.String type) Print the Matrix in a JPanel.
Plot2DPanel	toPlot2DPanel(java.lang.String name, java.lang.String type) Print the Matrix in a JPanel.
void	toPlot3DPanel(Plot3DPanel panel, java.lang.String name, java.lang.String type) Print the Matrix in a JPanel.
Plot3DPanel	toPlot3DPanel(java.lang.String name, java.lang.String type) Print the Matrix in a JPanel.
java.lang.String	toString() Convert the Matrix into a String
MatrixTablePanel	toTablePanel() Print the Matrix in a JPanel.
org.jdom.Element	toXMLElement() Convert the Matrix into a MathML (XML) Element
double	trace() Matrix trace.
AbstractMatrix	transpose() Matrix transpose.
void	transposeEquals() Matrix transpose.
AbstractMatrix	uminus() Unary minus
void	uminusEquals() Unary minus
AbstractMatrix	variance() Generate a variance matrix, each column contains values of a pulling.

Methods inherited from class org.jmat.data.AbstractDoubleArray

checkColumnDimension, checkColumnDimension, checkDiagonal, checkDimensions, checkDimensions, checkRowDimension, checkRowDimension, checkSymetric, deleteColumnEquals, deleteColumnsEquals, deleteColumnsEquals, deleteRowEquals, deleteRowsEquals, deleteRowsEquals, get, getArrayCopy, getColumnArrayCopy, getColumnDimension, getRowArrayCopy, getRowDimension, insertColumnsEquals, insertRowsEquals, isDiagonal, isEqual, isSymetric, mergeColumnsEquals, mergeRowsEquals, putColumnIn, putColumnsIn, putColumnsIn, putDiagonalIn, putDiagonalIn, putRowIn, putRowsIn, putRowsIn, putSubMatrixIn, reset, reshapeColumnsEquals, reshapeRowsEquals, resizeEquals, set, setAllConstant, setAllDiagonal, setAllIdentity, setAllIncrementColumns, setAllIncrementColumns, setAllIncrementRows, setAllIncrementRows, setAllMergeColumns, setAllMergeRows, setAllRandom, setColumn, setColumn, setColumns, setColumns, setRow, setRow, setRows, setRows, setSubMatrix, setSubMatrix, toDouble, toDouble2DArray, toDoubleArray, toDoubleColumnArray, toDoubleRowArray

Methods inherited from class java.lang.Object

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

Constructor Detail

AbstractMatrix

public AbstractMatrix(int _m,
                      int _n)

Construct an m-by-n matrix of zeros.

Parameters:

_m - Number of rows.

_n - Number of colums.

Method Detail

getInstance

public abstract AbstractMatrix getInstance(int _m,
                                           int _n)

Construct an m-by-n matrix of zeros.

Parameters:

_m - Number of rows.

_n - Number of colums.

Returns:

AbstractMatrix

getInstanceCopyOf

public AbstractMatrix getInstanceCopyOf(AbstractMatrix M)

Construct an m-by-n matrix of zeros.

Parameters:

M - Matrix to copy

Returns:

AbstractMatrix

getDoubleArrayCopy

public AbstractDoubleArray getDoubleArrayCopy()

Specified by:

getDoubleArrayCopy in class AbstractDoubleArray

copy

public AbstractMatrix copy()

Copy the Matrix object.

Returns:

A matrix.

getSubMatrix

public AbstractMatrix getSubMatrix(int i0,
                                   int i1,
                                   int j0,
                                   int j1)

Get a submatrix.

Parameters:

i0 - Initial row index

i1 - Final row index

j0 - Initial column index

j1 - Final column index

Returns:

A(i0:i1,j0:j1)

getRow

public AbstractMatrix getRow(int i)

Copy an internal one-dimensional array from a row.

Parameters:

i - Row index

Returns:

one-dimensional array copy of matrix elements.

getRows

public AbstractMatrix getRows(int[] I)

Copy an internal one-dimensional array from many rows.

Parameters:

I - Rows indexes

Returns:

one-dimensional array copy of matrix elements.

getRows

public AbstractMatrix getRows(int i0,
                              int i1)

Copy an internal one-dimensional array from many rows.

Parameters:

i0 - First Rows index

i1 - Last Rows index

Returns:

one-dimensional array copy of matrix elements.

getColumn

public AbstractMatrix getColumn(int j)

Copy an internal one-dimensional array from a column.

Parameters:

j - Column index

Returns:

one-dimensional array copy of matrix elements.

getColumns

public AbstractMatrix getColumns(int[] J)

Copy an internal one-dimensional array from a column.

Parameters:

J - Columns indexes

Returns:

one-dimensional array copy of matrix elements.

getColumns

public AbstractMatrix getColumns(int j0,
                                 int j1)

Copy an internal one-dimensional array from a column.

Parameters:

j0 - First Columns index

j1 - Last Columns index

Returns:

one-dimensional array copy of matrix elements.

getDiagonal

public AbstractMatrix getDiagonal()

Matrix diagonal extraction.

Returns:

An d*1 Matrix of diagonal elements, d = min(m,n).

getDiagonal

public AbstractMatrix getDiagonal(int num)

Matrix diagonal extraction.

Parameters:

num - diagonal number.

Returns:

Matrix of the n-th diagonal elements.

resize

public AbstractMatrix resize(int m2,
                             int n2)

Matrix resizing.

Parameters:

m2 - new lines.

n2 - new columns.

Returns:

resized copy of the Matrix.

reshapeRows

public AbstractMatrix reshapeRows(int m2,
                                  int n2)

Matrix reshaping.

Parameters:

m2 - new lines.

n2 - new columns.

Returns:

reshaped copy of the Matrix.

reshapeColumns

public AbstractMatrix reshapeColumns(int m2,
                                     int n2)

Matrix reshaping.

Parameters:

m2 - new lines.

n2 - new columns.

Returns:

reshaped copy of the Matrix.

mergeRows

public AbstractMatrix mergeRows(AbstractDoubleArray B)

Matrix merging.

Parameters:

B - Matrix to merge.

Returns:

merged Matrix.

mergeColumns

public AbstractMatrix mergeColumns(AbstractDoubleArray B)

Matrix merging.

Parameters:

B - Matrix to merge.

Returns:

merged Matrix.

insertRows

public AbstractMatrix insertRows(int I,
                                 AbstractDoubleArray B)

Insert a Row into Matrix.

Parameters:

I - first row to add index

B - rows to add

Returns:

matrix with inserted rows

insertColumns

public AbstractMatrix insertColumns(int J,
                                    AbstractDoubleArray B)

Insert a Column into Matrix.

Parameters:

J - first column to add index

B - column to add

Returns:

matrix with inserted columns

deleteRow

public AbstractMatrix deleteRow(int I)

delete a Row to Matrix.

Parameters:

I - row number to delete

Returns:

matrix with deleted row

deleteColumn

public AbstractMatrix deleteColumn(int J)

Delete a Column to Matrix.

Parameters:

J - column number to delete

Returns:

matrix with deleted column

deleteRows

public AbstractMatrix deleteRows(int[] I)

delete a Row to Matrix.

Parameters:

I - row number to delete

Returns:

matrix with deleted rows

deleteRows

public AbstractMatrix deleteRows(int i0,
                                 int i1)

delete a Row to Matrix.

Parameters:

i0 - first row index to delete

i1 - last row index to delete

Returns:

matrix with deleted rows

deleteColumns

public AbstractMatrix deleteColumns(int[] J)

Delete a Column to Matrix.

Parameters:

J - column numbers to delete

Returns:

matrix with deleted column

deleteColumns

public AbstractMatrix deleteColumns(int j0,
                                    int j1)

Delete a Column to Matrix.

Parameters:

j0 - first column index to delete

j1 - last column index to delete

Returns:

matrix with deleted column

norm1

public double norm1()

One norm

Returns:

maximum column sum.

norm2

public double norm2()

Two norm

Returns:

maximum singular value.

normInfinity

public double normInfinity()

Infinity norm

Returns:

maximum row sum.

normFrobenius

public double normFrobenius()

Frobenius norm

Returns:

sqrt of sum of squares of all elements.

trace

public double trace()

Matrix trace.

Returns:

sum of the diagonal elements.

determinant

public double determinant()

Matrix determinant

Returns:

determinant

rank

public int rank()

Matrix rank

Returns:

effective numerical rank, obtained from SVD.

condition

public double condition()

Matrix condition (2 norm)

Returns:

ratio of largest to smallest singular value.

min

public AbstractMatrix min()

Generate a row matrix, each column contents the minimum value of the columns.

Returns:

An 1-by-n matrix.

max

public AbstractMatrix max()

Generate a row matrix, each column contents the maximum value of the columns.

Returns:

An 1-by-n matrix.

sum

public AbstractMatrix sum()

Generate a row matrix, each column contents the sum value of the columns.

Returns:

An 1-by-n matrix.

cumSum

public AbstractMatrix cumSum()

Generate a row matrix, each column contents the sum value of the columns.

Returns:

An 1-by-n matrix.

product

public AbstractMatrix product()

Generate a row matrix, each column contents the product value of the columns.

Returns:

An 1-by-n matrix.

cumProduct

public AbstractMatrix cumProduct()

Generate a row matrix, each column contents the product value of the columns.

Returns:

An 1-by-n matrix.

distance

public AbstractMatrix distance(AbstractDoubleArray B,
                               double pow)

Generate a matrix, each column contents the N-distance between the columns.

Parameters:

pow - N

B - Matrix

Returns:

An m-by-B.m matrix.

mean

public AbstractMatrix mean()

Generate a row matrix, each column contents the mean value of the columns.

Returns:

An 1-by-n matrix.

covariance

public AbstractMatrix covariance()

Generate a covariance matrix, each column contains values of a pulling.

Returns:

An n-by-n matrix.

correlation

public AbstractMatrix correlation()

Generate a correlation matrix, each column contains values of a pulling.

Returns:

An n-by-n matrix.

variance

public AbstractMatrix variance()

Generate a variance matrix, each column contains values of a pulling.

Returns:

An 1-by-n matrix.

transpose

public AbstractMatrix transpose()

Matrix transpose.

Returns:

A'

uminus

public AbstractMatrix uminus()

Unary minus

Returns:

-A

plus

public AbstractMatrix plus(double s)

Add a scalar to each element of a matrix, C = A .+ s

Parameters:

s - double

Returns:

A .+ s

plus

public AbstractMatrix plus(AbstractDoubleArray B)

C = A + B

Parameters:

B - another matrix

Returns:

A + B

minus

public AbstractMatrix minus(double s)

Sub a scalar to each element of a matrix, C = A .- B

Parameters:

s - double

Returns:

A .- s

minus

public AbstractMatrix minus(AbstractDoubleArray B)

C = A - B

Parameters:

B - another matrix

Returns:

A - B

times

public AbstractMatrix times(double s)

Multiply a matrix by a scalar, C = s*A

Parameters:

s - scalar

Returns:

s*A

times

public AbstractMatrix times(AbstractDoubleArray B)

Linear algebraic matrix multiplication, A * B

Parameters:

B - another matrix

Returns:

Matrix product, A * B

Throws:

java.lang.IllegalArgumentException - Matrix inner dimensions must agree.

divide

public AbstractMatrix divide(double s)

Multiply a matrix by a scalar, C = s*A

Parameters:

s - scalar

Returns:

s*A

divide

public AbstractMatrix divide(AbstractMatrix B)

Linear algebraic matrix division, A / B

Parameters:

B - another matrix

Returns:

Matrix division, A / B

solve

public AbstractMatrix solve(AbstractMatrix B)

Solve A*X = B

Parameters:

B - right hand side

Returns:

solution if A is square, least squares solution otherwise

inverse

public AbstractMatrix inverse()

Matrix inverse or pseudoinverse

Returns:

inverse(A) if A is square, pseudoinverse otherwise.

transposeEquals

public void transposeEquals()

Matrix transpose.

uminusEquals

public void uminusEquals()

Unary minus

plusEquals

public void plusEquals(double s)

Add a scalar to each element of a matrix, C = A .+ s

Parameters:

s - double

plusEquals

public void plusEquals(AbstractDoubleArray B)

C = A + B

Parameters:

B - another matrix

minusEquals

public void minusEquals(double s)

Sub a scalar to each element of a matrix, C = A .- B

Parameters:

s - double

minusEquals

public void minusEquals(AbstractDoubleArray B)

C = A - B

Parameters:

B - another matrix

timesEquals

public void timesEquals(double s)

Multiply a matrix by a scalar, C = s*A

Parameters:

s - scalar

divideEquals

public void divideEquals(double s)

Multiply a matrix by a scalar, C = s*A

Parameters:

s - scalar

ebeTimes

public AbstractMatrix ebeTimes(AbstractMatrix B)

Element-by-element multiplication, C = A.*B

Parameters:

B - another matrix

Returns:

A.*B

ebeDivide

public AbstractMatrix ebeDivide(AbstractMatrix B)

Element-by-element right division, C = A./B

Parameters:

B - another matrix

Returns:

A./B

ebeCos

public AbstractMatrix ebeCos()

Element-by-element cosinus

Returns:

cos.(A)

ebeSin

public AbstractMatrix ebeSin()

Element-by-element sinus

Returns:

sin.(A)

ebeExp

public AbstractMatrix ebeExp()

Element-by-element exponential

Returns:

exp.(A)

ebePower

public AbstractMatrix ebePower(double p)

Element-by-element power

Parameters:

p - a double

Returns:

A.^p

ebePower

public AbstractMatrix ebePower(Matrix B)

Element-by-element power

Parameters:

B - a matrix

Returns:

A.^B

ebeLog

public AbstractMatrix ebeLog()

Element-by-element neperian logarithm

Returns:

log.(A)

ebeInverse

public AbstractMatrix ebeInverse()

Element-by-element inverse

Returns:

A.^-1

ebeSqrt

public AbstractMatrix ebeSqrt()

Square root of each element

Returns:

sqrt.(A)

ebeAbs

public AbstractMatrix ebeAbs()

Absolute value of each element

Returns:

|A|

ebeFunction

public AbstractMatrix ebeFunction(DoubleFunction fun)

Element-by-element function evaluation

Parameters:

fun - function to apply : f(Aij)

Returns:

f.(A)

ebeTimesEquals

public void ebeTimesEquals(AbstractMatrix B)

Element-by-element multiplication, C = A.*B

Parameters:

B - another matrix

ebeDivideEquals

public void ebeDivideEquals(AbstractMatrix B)

Element-by-element right division, C = A./B

Parameters:

B - another matrix

ebeCosEquals

public void ebeCosEquals()

Element-by-element cosinus

ebeSinEquals

public void ebeSinEquals()

Element-by-element sinus

ebeExpEquals

public void ebeExpEquals()

Element-by-element exponential

ebePowerEquals

public void ebePowerEquals(double p)

Element-by-element power

Parameters:

p - a double

ebePowerEquals

public void ebePowerEquals(AbstractMatrix B)

Element-by-element power

Parameters:

B - a matrix

ebeLogEquals

public void ebeLogEquals()

Element-by-element neperian logarithm

ebeInverseEquals

public void ebeInverseEquals()

Element-by-element inverse

ebeSqrtEquals

public void ebeSqrtEquals()

Element-by-element square root

ebeAbsEquals

public void ebeAbsEquals()

Element-by-element absolute value

ebeFunctionEquals

public void ebeFunctionEquals(DoubleFunction fun)

Element-by-element absolute value

Parameters:

fun - function to apply : f(Aij)

lu

public LUDecomposition lu()

LU Decomposition

Returns:

LUDecomposition

See Also:

LUDecomposition

qr

public QRDecomposition qr()

QR Decomposition

Returns:

QRDecomposition

See Also:

QRDecomposition

cholesky

public CholeskyDecomposition cholesky()

Cholesky Decomposition

Returns:

CholeskyDecomposition

See Also:

CholeskyDecomposition

svd

public SingularValueDecomposition svd()

Singular Value Decomposition

Returns:

SingularValueDecomposition

See Also:

SingularValueDecomposition

eig

public EigenvalueDecomposition eig()

Eigenvalue Decomposition

Returns:

EigenvalueDecomposition

See Also:

EigenvalueDecomposition

sort

public AbstractMatrix sort(int j)

Generate a row-permuted matrix, rows are permuted in order to sort the column 'c'

Parameters:

j - Number of the colum which leads the permuation

Returns:

A Sort.

find

public Finding find(double min,
                    double max)

Find an element

Parameters:

min - Inf bound of values to find

max - Sup bound of values to find

Returns:

A Find.

find

public Finding find(java.lang.String test,
                    double val)

Find an element

Parameters:

test - Test

val - Element (value) to compare

Returns:

A Find.

slice

public AbstractMatrix slice(int[] N)

Slice the matrix

Parameters:

N - Array of number of slices for each column.

Returns:

A Slice.

slice

public AbstractMatrix slice(int _n)

Slice the matrix

Returns:

A Slice.

toString

public java.lang.String toString()

Convert the Matrix into a String

Specified by:

toString in interface StringPrintable

Overrides:

toString in class java.lang.Object

Returns:

A String

toClipBoard

public void toClipBoard()

Copy the Matrix into the clipboard

Specified by:

toClipBoard in interface ClipBoardPrintable

toXMLElement

public org.jdom.Element toXMLElement()

Convert the Matrix into a MathML (XML) Element

Specified by:

toXMLElement in interface XMLPrintable

Returns:

An XML Element

toASCIIFile

public void toASCIIFile(java.io.File file)

Save the Matrix in a file.

Specified by:

toASCIIFile in interface FilePrintable

Parameters:

file - file to save in.

toCommandLine

public void toCommandLine(java.lang.String title)

Print the Matrix in the Command Line.

Specified by:

toCommandLine in interface CommandLinePrintable

Parameters:

title - title to display in the command line.

toTablePanel

public MatrixTablePanel toTablePanel()

Print the Matrix in a JPanel.

Returns:

A JPanel.

toPlot2DPanel

public Plot2DPanel toPlot2DPanel(java.lang.String name,
                                 java.lang.String type)

Print the Matrix in a JPanel.

Parameters:

name - name of the plot.

type - type of displaying.

Returns:

A JPanel.

toPlot3DPanel

public Plot3DPanel toPlot3DPanel(java.lang.String name,
                                 java.lang.String type)

Print the Matrix in a JPanel.

Parameters:

type - type of displaying.

name - name of the plot.

Returns:

A JPanel.

toPlot2DPanel

public void toPlot2DPanel(Plot2DPanel panel,
                          java.lang.String name,
                          java.lang.String type)

Print the Matrix in a JPanel.

Parameters:

panel - Panel to modify.

name - name of the plot.

type - type of displaying.

toPlot3DPanel

public void toPlot3DPanel(Plot3DPanel panel,
                          java.lang.String name,
                          java.lang.String type)

Print the Matrix in a JPanel.

Parameters:

panel - Panel to modify.

name - name of the plot.

type - type of displaying.

toHist2DPanel

public Plot2DPanel toHist2DPanel(java.lang.String name,
                                 int num)

Print the Matrix in an histogram in a JPanel.

Parameters:

name - name of the plot.

num - number of slices.

Returns:

A JPanel.

toHist3DPanel

public Plot3DPanel toHist3DPanel(java.lang.String name,
                                 int num)

Print the Matrix in a JPanel.

Parameters:

num - number of slices.

name - name of the plot.

Returns:

A JPanel.

toHist2DPanel

public void toHist2DPanel(Plot2DPanel panel,
                          java.lang.String name,
                          int num)

Print the Matrix in a JPanel.

Parameters:

panel - Panel to modify.

name - name of the plot.

num - number of slices.

toHist3DPanel

public void toHist3DPanel(Plot3DPanel panel,
                          java.lang.String name,
                          int num)

Print the Matrix in a JPanel.

Parameters:

panel - Panel to modify.

name - name of the plot.

num - number of slices.

fromASCIIFile

public static AbstractMatrix fromASCIIFile(java.io.File file)

Load the Matrix from a file

Parameters:

file - file to load

Returns:

A matrix

fromString

public static AbstractMatrix fromString(java.lang.String s)

Load the Matrix from a String

Parameters:

s - String to load

Returns:

A matrix

fromClipBoard

public static AbstractMatrix fromClipBoard()
                                    throws java.io.IOException,
                                           java.awt.datatransfer.UnsupportedFlavorException

Load the Matrix from the clipboard

Returns:

A matrix

Throws:

java.io.IOException

java.awt.datatransfer.UnsupportedFlavorException

fromXMLElement

public static AbstractMatrix fromXMLElement(org.jdom.Element e)

Load the Matrix from a MathML (XML) Element

Parameters:

e - Element to load

Returns:

A matrix