Functions to read in a matrix. More...

#include "util.h"
#include "cuddInt.h"

Include dependency graph for cuddRead.c:

Functions
int	Cudd_addRead (FILE fp, DdManager dd, DdNode E, DdNode x, DdNode y, DdNode xn, DdNode *yn_, int nx, int ny, int m, int *n, int bx, int sx, int by, int sy)
	Reads in a sparse matrix. More...

int	Cudd_bddRead (FILE fp, DdManager dd, DdNode E, DdNode x, DdNode *y, int nx, int ny, int m, int *n, int bx, int sx, int by, int sy)
	Reads in a graph (without labels) given as a list of arcs. More...

Detailed Description

Functions to read in a matrix.

See also: cudd_addHarwell.c

Author: Fabio Somenzi

Copyright

Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:

Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.

Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.

Neither the name of the University of Colorado nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission.

THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

Function Documentation

◆ Cudd_addRead()

int Cudd_addRead	(	FILE *	fp,
		DdManager *	dd,
		DdNode **	E,
		DdNode ***	x,
		DdNode ***	y,
		DdNode ***	xn,
		DdNode ***	yn_,
		int *	nx,
		int *	ny,
		int *	m,
		int *	n,
		int	bx,
		int	sx,
		int	by,
		int	sy
	)

Reads in a sparse matrix.

Reads in a sparse matrix specified in a simple format. The first line of the input contains the numbers of rows and columns. The remaining lines contain the elements of the matrix, one per line. Given a background value (specified by the background field of the manager), only the values different from it are explicitly listed. Each foreground element is described by two integers, i.e., the row and column number, and a real number, i.e., the value.

Cudd_addRead produces an ADD that depends on two sets of variables: x and y. The x variables (x[0] ... x[nx-1]) encode the row index and the y variables (y[0] ... y[ny-1]) encode the column index. x[0] and y[0] are the most significant bits in the indices. The variables may already exist or may be created by the function. The index of x[i] is bx+i*sx, and the index of y[i] is by+i*sy.

On input, nx and ny hold the numbers of row and column variables already in existence. On output, they hold the numbers of row and column variables actually used by the matrix. When Cudd_addRead creates the variable arrays, the index of x[i] is bx+i*sx, and the index of y[i] is by+i*sy. When some variables already exist Cudd_addRead expects the indices of the existing x variables to be bx+i*sx, and the indices of the existing y variables to be by+i*sy.

m and n are set to the numbers of rows and columns of the matrix. Their values on input are immaterial. The ADD for the sparse matrix is returned in E, and its reference count is > 0.

Returns: 1 in case of success; 0 otherwise.

Side effects nx and ny are set to the numbers of row and column: variables. m and n are set to the numbers of rows and columns. x and y are possibly extended to represent the array of row and column variables. Similarly for xn and yn_, which hold on return from Cudd_addRead the complements of the row and column variables.

See also: Cudd_addHarwell Cudd_bddRead

Parameters

fp	input file pointer
dd	DD manager
E	characteristic function of the graph
x	array of row variables
y	array of column variables
xn	array of complemented row variables
yn_	array of complemented column variables
nx	number or row variables
ny	number or column variables
m	number of rows
n	number of columns
bx	first index of row variables
sx	step of row variables
by	first index of column variables
sy	step of column variables

◆ Cudd_bddRead()

int Cudd_bddRead	(	FILE *	fp,
		DdManager *	dd,
		DdNode **	E,
		DdNode ***	x,
		DdNode ***	y,
		int *	nx,
		int *	ny,
		int *	m,
		int *	n,
		int	bx,
		int	sx,
		int	by,
		int	sy
	)

Reads in a graph (without labels) given as a list of arcs.

Reads in a graph (without labels) given as an adjacency matrix. The first line of the input contains the numbers of rows and columns of the adjacency matrix. The remaining lines contain the arcs of the graph, one per line. Each arc is described by two integers, i.e., the row and column number, or the indices of the two endpoints. Cudd_bddRead produces a BDD that depends on two sets of variables: x and y. The x variables (x[0] ... x[nx-1]) encode the row index and the y variables (y[0] ... y[ny-1]) encode the column index. x[0] and y[0] are the most significant bits in the indices. The variables may already exist or may be created by the function. The index of x[i] is bx+i*sx, and the index of y[i] is by+i*sy.

On input, nx and ny hold the numbers of row and column variables already in existence. On output, they hold the numbers of row and column variables actually used by the matrix. When Cudd_bddRead creates the variable arrays, the index of x[i] is bx+i*sx, and the index of y[i] is by+i*sy. When some variables already exist, Cudd_bddRead expects the indices of the existing x variables to be bx+i*sx, and the indices of the existing y variables to be by+i*sy.

m and n are set to the numbers of rows and columns of the matrix. Their values on input are immaterial. The BDD for the graph is returned in E, and its reference count is > 0.

Returns: 1 in case of success; 0 otherwise.

Side effects nx and ny are set to the numbers of row and column: variables. m and n are set to the numbers of rows and columns. x and y are possibly extended to represent the array of row and column variables.

See also: Cudd_addHarwell Cudd_addRead

Parameters

fp	input file pointer
dd	DD manager
E	characteristic function of the graph
x	array of row variables
y	array of column variables
nx	number or row variables
ny	number or column variables
m	number of rows
n	number of columns
bx	first index of row variables
sx	step of row variables
by	first index of column variables
sy	step of column variables