File: [local] / OpenXM / src / ox_cdd / cddlib.c (download)
Revision 1.2, Wed Sep 12 07:07:36 2007 UTC (16 years, 11 months ago) by noro
Branch: MAIN
CVS Tags: R_1_3_1-2, RELEASE_1_3_1_13b, RELEASE_1_2_3_12, HEAD Changes since 1.1: +38 -1
lines
Added a function "intpt" for computing an interior point of a cone.
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/* $OpenXM: OpenXM/src/ox_cdd/cddlib.c,v 1.2 2007/09/12 07:07:36 noro Exp $ */
/* This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program; if not, write to the Free Software
Foundation, Inc., 675 Mass Ave, Cambridge, MA 02139, USA.
*/
#include "setoper.h"
#include "cdd.h"
#include <stdio.h>
#include <stdlib.h>
#include <time.h>
#include <math.h>
#include <string.h>
/* for gc */
#include <gc/gc.h>
#define MALLOC(x) GC_MALLOC((x))
#define MALLOC_ATOMIC(x) GC_MALLOC_ATOMIC((x))
#define ALLOCA(x) alloca((x))
/* #define FREE(x) free((x)) */
#define FREE(x)
int debug_print = 1;
int mytype2int( mytype , int );
void init_cdd(void)
{
dd_set_global_constants(); /* First, this must be called. */
debug_print = 0;
}
int **redcheck(int row,int col,int **matrix,int *presult_row)
{
dd_MatrixPtr M=NULL,M2=NULL,M3=NULL;
dd_ErrorType err=dd_NoError;
dd_rowset redrows,linrows,ignoredrows, basisrows;
dd_colset ignoredcols, basiscols;
long rank;
time_t starttime, endtime;
int i,j;
int **result=NULL;
M = dd_CreateMatrix( row, col );
for(i=0;i<row;i++){
for(j=0;j<col;j++){
dd_set_si(M->matrix[i][j],matrix[i][j]);
}
}
M->representation=dd_Generator;
if(debug_print>=2){
printf("Inputed Matrix : \n");
dd_WriteMatrix(stdout, M);
fprintf(stdout, "\nredundant rows:\n");
time(&starttime);
}
redrows=dd_RedundantRows(M, &err);
if(debug_print>=2){
time(&endtime);
set_fwrite(stdout, redrows);
dd_WriteTimes(stdout,starttime,endtime);
}
M2=dd_MatrixSubmatrix(M, redrows);
if(debug_print>=2){
printf("Implicit linearity (after removal of redundant rows): ");
}
linrows=dd_ImplicitLinearityRows(M2, &err);
if(debug_print>=2){
fprintf(stdout," %ld ", set_card(linrows));
set_fwrite(stdout,linrows);
}
set_uni(M2->linset, M2->linset, linrows);
/* add the implicit linrows to the explicit linearity rows */
if(debug_print>=2){
printf("\nNonredundant representation (except possibly for the linearity part):\n");
dd_WriteMatrix(stdout, M2);
}
/* To remove redundancy of the linearity part,
we need to compute the rank and a basis of the linearity part. */
set_initialize(&ignoredrows, M2->rowsize);
set_initialize(&ignoredcols, M2->colsize);
set_compl(ignoredrows, M2->linset);
rank=dd_MatrixRank(M2,ignoredrows,ignoredcols, &basisrows, &basiscols);
set_diff(ignoredrows, M2->linset, basisrows);
M3=dd_MatrixSubmatrix(M2, ignoredrows);
if (rank>0){
if(debug_print>=2){
fprintf(stdout,"\nThe following %ld linearity rows are dependent and unnecessary:", set_card(ignoredrows));
set_fwrite(stdout,ignoredrows);
}
} else{
if(debug_print>=2){
fprintf(stdout,"\nThe linearity rows are independent and thus minimal\n");
}
}
if(debug_print>=2){
printf("Nonredundant representation (= minimal representation):\n");
dd_WriteMatrix(stdout, M3);
}
*presult_row = M3->rowsize;
result = MALLOC( *presult_row * sizeof(int*) );
for(i=0;i<*presult_row;i++){
result[i] = MALLOC( col * sizeof(int) );
}
for(i=0;i<*presult_row;i++){
for(j=0;j<col;j++){
result[i][j] = mytype2int( M3->matrix[i][j], 0 );
}
}
set_free(linrows);
set_free(basisrows);
set_free(basiscols);
set_free(ignoredrows);
set_free(ignoredcols);
set_free(redrows);
dd_FreeMatrix(M);
dd_FreeMatrix(M2);
dd_FreeMatrix(M3);
if (err!=dd_NoError) dd_WriteErrorMessages(stderr,err);
return result;
}
mytype *lpsolve(dd_LPObjectiveType type,int row,int col,int **matrix,int *obj)
{
dd_ErrorType error=dd_NoError;
dd_LPSolverType solver; /* either DualSimplex or CrissCross */
dd_LPPtr lp;
dd_MatrixPtr A;
dd_ErrorType err;
int i,j;
static mytype result;
A = dd_CreateMatrix( row, col );
for(i=0;i<row;i++){
for(j=0;j<col;j++){
dd_set_si(A->matrix[i][j],matrix[i][j]);
}
}
for(j=0;j<col;j++){
dd_set_si(A->rowvec[j],obj[j]);
}
A->objective = type;
lp=dd_Matrix2LP(A, &err); /* load an LP */
if (lp==NULL) goto _L99;
if(debug_print>=2){
/* Print the LP. */
printf("\n--- LP to be solved ---\n");
dd_WriteLP(stdout, lp);
/* Solve the LP by cdd LP solver. */
printf("\n--- Running dd_LPSolve ---\n");
}
solver=dd_DualSimplex;
dd_LPSolve(lp, solver, &error); /* Solve the LP */
if (error!=dd_NoError) goto _L99;
if(debug_print>=2){
/* Write the LP solutions by cdd LP reporter. */
dd_WriteLPResult(stdout, lp, error);
}
dd_init( result );
dd_set( result, lp->optvalue );
/* Free allocated spaces. */
dd_FreeLPData(lp);
dd_FreeMatrix(A);
_L99:
if (error!=dd_NoError) dd_WriteErrorMessages(stdout, error);
return &result;
}
mytype *lpintpt(int row,int col,int **matrix,mytype *ptp)
{
dd_ErrorType error=dd_NoError;
dd_rowset ImL, Lbasis;
dd_LPSolutionPtr lps1;
dd_MatrixPtr A;
dd_ErrorType err;
int i,j;
mytype *ret;
A = dd_CreateMatrix( row, col );
for(i=0;i<row;i++){
for(j=0;j<col;j++){
dd_set_si(A->matrix[i][j],matrix[i][j]);
}
}
dd_FindRelativeInterior(A,&ImL,&Lbasis,&lps1,&error);
if (error!=dd_NoError) goto _L99;
if ( dd_Positive(lps1->optvalue) ) {
ret = (mytype *)MALLOC(lps1->d*sizeof(mytype));
for ( i = 0; i < lps1->d; i++ ) {
dd_init(ret[i]);
dd_set(ret[i],lps1->sol[i]);
}
} else {
ret = 0;
}
dd_FreeLPSolution(lps1);
set_free(ImL);
set_free(Lbasis);
_L99:
if (error!=dd_NoError) dd_WriteErrorMessages(stdout, error);
return ret;
}