matpackII.h File Reference

Header file for sparse matrices. More...

#include "matpackI.h"

Go to the source code of this file.

Classes
class	Sparse
	The Sparse class. More...

Functions
void	abs (Sparse &A, const Sparse &B)
	Absolute value of sparse matrix elements. More...
void	mult (VectorView y, const Sparse &M, ConstVectorView x)
	Sparse matrix - Vector multiplication. More...
void	mult (MatrixView A, const Sparse &B, ConstMatrixView C)
	SparseMatrix - Matrix multiplication. More...
void	mult (Sparse &A, const Sparse &B, const Sparse &C)
	Sparse - Sparse multiplication. More...
void	add (Sparse &A, const Sparse &B, const Sparse &C)
	Sparse - Sparse addition. More...
void	sub (Sparse &A, const Sparse &B, const Sparse &C)
	Sparse - Sparse subtraction. More...
void	transpose (Sparse &A, const Sparse &B)
	Transpose of sparse matrix. More...

Detailed Description

Header file for sparse matrices.

Author

Stefan Buehler sbueh.nosp@m.ler@.nosp@m.ltu.s.nosp@m.e

Date

Tue Jul 15 15:05:40 2003

Notes:

There are two different ways to index: S.rw(3,4) = 1; // Read and write cout << S.ro(3,4); // Read only

This distinction is necessary, because rw() creates elements if they don't already exist.

The normal index operator "()" correspondes to ro, so "S(3,4)" is the same as S.ro(3,4).

Definition in file matpackII.h.

Function Documentation

abs()

void abs	(	Sparse &	A,
		const Sparse &	B
	)

Absolute value of sparse matrix elements.

Computes the absolute values of the elements in sparse matrix B.

The output matrix A must have been initialized with the correct size.

Parameters

A	Output: Absolute value matrix.
B	Original matrix.

Author

Mattias Ekstrom

Date

2005-03-21

Definition at line 86 of file matpackII.cc.

References copy(), Sparse::mcolptr, Sparse::mdata, Sparse::mrowind, Sparse::ncols(), and Sparse::nrows().

add()

void add	(	Sparse &	A,
		const Sparse &	B,
		const Sparse &	C
	)

Sparse - Sparse addition.

Calculates A = B+C, where result A is sparse, and B and C are also sparse.

Output comes first!

Dimensions of B, and C must match. A will be resized.

Parameters

A	Output: Result matrix.
B	First summand matrix.
C	Second summand matrix.

Author

Oliver Lemke

Date

2009-09-03

Definition at line 90 of file matpackII.cc.

References C, Sparse::data(), Sparse::mcolptr, Sparse::mdata, Sparse::mrowind, Sparse::ncols(), Sparse::nrows(), and Sparse::rw().

Referenced by test49().

mult() [1/3]

void mult	(	MatrixView	A,
		const Sparse &	B,
		ConstMatrixView	C
	)

SparseMatrix - Matrix multiplication.

Calculates the matrix product:

A = B*C, where B is sparse.

Output comes first!

Dimensions of A, B, and C must match. No memory reallocation takes place, only the data is copied.

Parameters

A	Output: Result matrix (full).
B	First matrix to multiply (sparse).
C	Second matrix to multiply (full).

Author

Stefan Buehler sbueh.nosp@m.ler@.nosp@m.ltu.s.nosp@m.e

Date

Tue Jul 15 15:05:40 2003

Definition at line 88 of file matpackII.cc.

References C, Sparse::mcolptr, Sparse::mdata, Sparse::mrowind, ConstMatrixView::ncols(), Sparse::ncols(), ConstMatrixView::nrows(), and Sparse::nrows().

mult() [2/3]

void mult	(	Sparse &	A,
		const Sparse &	B,
		const Sparse &	C
	)

Sparse - Sparse multiplication.

Calculates A = B*C, where result A is sparse, and B and C are also sparse.

Output comes first!

Dimensions of A, B, and C must match. No memory reallocation takes place, only the data is copied.

Parameters

A	Output: Result matrix.
B	First product matrix.
C	Second product matrix.

Author

Mattias Ekstroem

Date

2003-08-06

Definition at line 89 of file matpackII.cc.

References C, Sparse::mcolptr, Sparse::mcr, Sparse::mdata, Sparse::mrowind, Sparse::ncols(), Sparse::nrows(), Sparse::rw(), and transpose().

mult() [3/3]

void mult	(	VectorView	y,
		const Sparse &	M,
		ConstVectorView	x
	)

Sparse matrix - Vector multiplication.

This calculates the product

y = M*x, where M is sparse.

Output comes first!

Dimensions of y, M, and x must match. No memory reallocation takes place, only the data is copied.

Parameters

y	Output: The multiplication result.
M	Matrix for multiplication (sparse).
x	Vector for multiplication.

Author

Stefan Buehler sbueh.nosp@m.ler@.nosp@m.ltu.s.nosp@m.e

Date

Tue Jul 15 15:05:40 2003

Definition at line 87 of file matpackII.cc.

References M, and ConstVectorView::nelem().

sub()

void sub	(	Sparse &	A,
		const Sparse &	B,
		const Sparse &	C
	)

Sparse - Sparse subtraction.

Calculates A = B-C, where result A is sparse, and B and C are also sparse.

Output comes first!

Dimensions of B, and C must match. A will be resized.

Parameters

A	Output: Result matrix.
B	First subtrahend matrix.
C	Second subtrahend matrix.

Author

Oliver Lemke

Date

2009-09-03

Definition at line 91 of file matpackII.cc.

References C, Sparse::ncols(), Sparse::nrows(), and Sparse::rw().

Referenced by sensor_responseBackendFrequencySwitching(), and test49().

transpose()

void transpose	(	Sparse &	A,
		const Sparse &	B
	)

Transpose of sparse matrix.

Computes the transpose of the sparse matrix B.

The output matrix A must have been initialized with the correct size.

Parameters

A	Output: Transposed matrix.
B	Original matrix.

Author

Mattias Ekstroem

Date

2003-08-05

Definition at line 92 of file matpackII.cc.

References Sparse::mcolptr, Sparse::mcr, Sparse::mdata, Sparse::mrowind, Sparse::ncols(), and Sparse::nrows().

Referenced by mult().