cuddHarwell.c File Reference

Function to read a matrix in Harwell format. More...

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

Include dependency graph for cuddHarwell.c:

Functions
int	Cudd_addHarwell (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, int pr)
	Reads in a matrix in the format of the Harwell-Boeing benchmark suite. More...

Detailed Description

Function to read a matrix in Harwell format.

Author

Fabio Somenzi

Copyright

Copyright (c) 1995-2015, Regents of the University of Colorado

All rights reserved.

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

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Function Documentation

Cudd_addHarwell()

int Cudd_addHarwell	(	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,
		int	pr
	)

Reads in a matrix in the format of the Harwell-Boeing benchmark suite.

The variables are ordered as follows:

x[0] y[0] x[1] y[1] ...

0 is the most significant bit. On input, nx and ny hold the numbers of row and column variables already in existence.

Returns

1 on success; 0 otherwise.

Side effects On output, nx and ny hold the numbers of row and column

variables actually used by the matrix. 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.

See also

Cudd_addRead Cudd_bddRead

Parameters

fp	pointer to the input file
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
pr	verbosity level