Example #1
0
void
solve_lp(int nlhs, mxArray * plhs[], int nrhs, const mxArray * prhs[])
{
	/* The original LP data  m x n matrix 
	   = | b   -A  |
	     | c0  c^T |,

	where the LP to be solved is to
	maximize  c^T x  +   c0
	subj. to
	     A   x  <=  b.
	*/

	dd_ErrorType error=dd_NoError;
	dd_LPSolverType solver=dd_CrissCross; /* either DualSimplex or CrissCross */
	dd_LPPtr lp;   /* pointer to LP data structure that is not visible by user. */
  
	dd_set_global_constants(); /* First, this must be called once to use cddlib. */


	/* Input an LP using the cdd library  */
	lp = MB_get_LP_MatrixPtr(prhs[0]);

    
	/* Solve the LP by cdd LP solver. */
	dd_LPSolve(lp,solver,&error);
	if (error!=dd_NoError) dd_WriteErrorMessages(stdout, error);
	
	/* Take the solution. */
	plhs[0] = MB_set_LPsol_MatrixPtr(lp);


	/* Free allocated spaces. */
	dd_FreeLPData(lp);
}
Example #2
0
void
find_interior_DS(int nlhs, mxArray * plhs[], int nrhs, const mxArray * prhs[])
{
  /* uses Dual Simplex method */
	/* We would like to find an iterior point
	   for a polyhedron in H representation 
	     A   x  <=  b.
	*/

	dd_ErrorType error=dd_NoError;
	dd_LPSolverType solver=dd_DualSimplex;
	dd_LPPtr lp, lp1;   /* pointer to LP data structure that is not visible by user. */
	dd_MatrixPtr A;
	int j;  
  
	dd_set_global_constants(); /* First, this must be called once to use cddlib. */


	/* Input an LP using the cdd library  */
	/* lp = MB_get_LP_MatrixPtr(prhs[0]); */

	if (A=FT_get_H_MatrixPtr(prhs[0])) {
		/* set objective */
		A->objective = dd_LPmin;
		for (j = 0; j < A->colsize; j++)
			dd_set_d(A->rowvec[j],0.0);
		lp=dd_Matrix2LP(A, &error);
  		dd_FreeMatrix(A);
	}else{
		mexErrMsgTxt("Error in the setting of LP matrix.");
	}

	
	lp1=dd_MakeLPforInteriorFinding(lp);
	dd_LPSolve(lp1,solver,&error);
	if (error!=dd_NoError) dd_WriteErrorMessages(stdout, error);
	    
	/* Take the solution. */
	plhs[0] = MB_set_LPsol_MatrixPtr(lp1);


	/* Free allocated spaces. */
	dd_FreeLPData(lp);
	dd_FreeLPData(lp1);
}
Example #3
0
int main(int argc, char *argv[])
{
  dd_PolyhedraPtr poly;
  dd_LPPtr lp;
  dd_MatrixPtr M,A;
  dd_ErrorType err=dd_NoError;
  dd_DataFileType inputfile,outputfile;
  FILE *reading=NULL, *writing;

  dd_set_global_constants();  /* First, this must be called. */

  if (argc>1) strcpy(inputfile,argv[1]);
  if (argc<=1 || !SetInputFile(&reading,argv[1])){
    dd_WriteProgramDescription(stdout);
    dd_SetInputFile(&reading,inputfile, &err);
  }
  if (err==dd_NoError) {
    M=dd_PolyFile2Matrix(reading, &err);
  }
  else {
    printf("Input file not found\n");
    goto _L99;
  }

  if (err!=dd_NoError) goto _L99;

  if (M->objective==dd_LPnone){ /* do representation conversion */
    poly=dd_DDMatrix2Poly2(M, dd_LexMin, &err);
    /* equivalent to poly=dd_DDMatrix2Poly2(M, &err) when the second argument is set to dd_LexMin. */
    if (err!=dd_NoError) goto _L99;

    dd_SetWriteFileName(inputfile, outputfile, 'o', poly->representation);
    SetWriteFile(&writing, outputfile);
    dd_WriteProgramDescription(writing);
    dd_WriteRunningMode(writing, poly);
    switch (poly->representation) {
    case dd_Inequality:
      fprintf(writing, "ext_file: Generators\n");
      A=dd_CopyGenerators(poly);
      dd_WriteMatrix(writing,A);
      dd_FreeMatrix(A);
      break;

    case dd_Generator:
      fprintf(writing, "ine_file: Inequalities\n");
      A=dd_CopyInequalities(poly);
      dd_WriteMatrix(writing,A);
      dd_FreeMatrix(A);
      break;

    default:
      break;
    }
    dd_WriteDDTimes(writing,poly);
    fclose(writing);

    dd_SetWriteFileName(inputfile, outputfile, 'a', poly->representation);
    SetWriteFile(&writing, outputfile);
    dd_WriteAdjacency(writing,poly);
    fclose(writing);

    dd_SetWriteFileName(inputfile, outputfile, 'j', poly->representation);
    SetWriteFile(&writing, outputfile);
    dd_WriteInputAdjacency(writing,poly);
    fclose(writing);

    dd_SetWriteFileName(inputfile, outputfile, 'i', poly->representation);
    SetWriteFile(&writing, outputfile);
    dd_WriteIncidence(writing,poly);
    fclose(writing);

    dd_SetWriteFileName(inputfile, outputfile, 'n', poly->representation);
    SetWriteFile(&writing, outputfile);
    dd_WriteInputIncidence(writing,poly);
    fclose(writing);

    dd_FreeMatrix(M);
    dd_FreePolyhedra(poly);

  } else { /* solve the LP */
    lp=dd_Matrix2LP(M, &err);  if (err!=dd_NoError) goto _L99;
    dd_LPSolve(lp,dd_DualSimplex,&err);  if (err!=dd_NoError) goto _L99;

    dd_SetWriteFileName(inputfile, outputfile, 's', M->representation);
    SetWriteFile(&writing, outputfile);
    dd_WriteLPResult(writing, lp, err);
    fclose(writing);

    dd_FreeMatrix(M);
    dd_FreeLPData(lp);
  }
_L99:
  if (err!=dd_NoError) dd_WriteErrorMessages(stdout,err);
  return 0;
}
Example #4
0
int main(int argc, char *argv[])
{
  /* The original LP data m x n matrix 
     = | b   -A  |
       | c0  c^T |,
   
  where the LP to be solved is to
  maximize  c^T x  +   c0
  subj. to
            A   x  <=  b.
  */
        
  dd_ErrorType err=dd_NoError;
  dd_LPSolverType solver=dd_DualSimplex; 
     /* either DualSimplex or CrissCross */
  dd_LPPtr lp,lp1;   
    /* pointer to LP data structure that is not visible by user. */
  dd_LPSolutionPtr lps,lps1; 
    /* pointer to LP solution data that is visible by user. */

  dd_MatrixPtr M;
  dd_colrange j;
  dd_DataFileType inputfile;

  dd_set_global_constants();

  printf("\n--- Solving an LP with dd_LPSolve, and Finding an Interior Point  ---\n");

/* Input an LP using the cdd library  */
  dd_SetInputFile(&reading,inputfile,&err);
  if (err!=dd_NoError) goto _L99;
  M=dd_PolyFile2Matrix(reading, &err);
  if (err!=dd_NoError) goto _L99;
  /* dd_WriteMatrix(stdout, M);  */
  lp=dd_Matrix2LP(M, &err);
  if (err!=dd_NoError) goto _L99;

/* Solve the LP by cdd LP solver. */
  printf("\n--- Running dd_LPSolve ---\n");
  solver=dd_DualSimplex;
  dd_LPSolve(lp, solver, &err);  /* Solve the LP */
  if (err!=dd_NoError) goto _L99;

/* Write the LP solutions by cdd LP reporter. */
/*  dd_WriteLPResult(stdout, lp, err); */
/*  dd_WriteLPResult(writing, lp, err); */

/* One can access the solutions by loading them.  See dd_WriteLPResult
   for outputing the results correctly. */
  lps=dd_CopyLPSolution(lp);
  if (lps->LPS==dd_Optimal){
    printf("Optimal solution found:\n");
    printf("  primal_solution\n");
    for (j=1; j<lps->d; j++) {
      printf("  %3ld : ",j);
      dd_WriteNumber(stdout,lps->sol[j]);
      printf("\n");
    }
    printf("  dual_solution\n");
    for (j=1; j<lps->d; j++){
      if (lps->nbindex[j+1]>0) {
        printf("  %3ld : ",lps->nbindex[j+1]);
        dd_WriteNumber(stdout,lps->dsol[j]); printf("\n");
      }
    }
    printf("  optimal_value : "); dd_WriteNumber(stdout,lps->optvalue);
    printf("\n");
  }

/* Find an interior point with cdd LP library. */
  printf("\n--- Running dd_FindInteriorPoint ---\n");
  lp1=dd_MakeLPforInteriorFinding(lp);
  printf("The LP to be solved for finding an interior point:\n");  
  dd_WriteLP(stdout,lp1);
  dd_LPSolve(lp1,solver,&err);
  if (err!=dd_NoError) goto _L99;

  /* Write an interior point. */
  lps1=dd_CopyLPSolution(lp1);
  if (dd_Positive(lps1->optvalue)){
    printf("\nAn interior point found: (");
    for (j=1; j <(lps1->d)-1; j++) {
      dd_WriteNumber(stdout,lps1->sol[j]);
    }
    printf(")\n");
  }
  if (dd_Negative(lps1->optvalue)) 
    printf("\nThe feasible region is empty.\n");
  if (dd_EqualToZero(lps1->optvalue)) 
    printf("\nThe feasible region is nonempty but has no interior point.\n");

/* Free allocated spaces. */
  dd_FreeLPSolution(lps);
  dd_FreeLPData(lp);
  dd_FreeLPSolution(lps1);
  dd_FreeLPData(lp1);
  dd_FreeMatrix(M);

_L99:;
  if (err!=dd_NoError) dd_WriteErrorMessages(stdout, err);
  dd_free_global_constants();  /* At the end, this should be called. */
  return 0;
}