lemon-project-template-glpk

diff deps/glpk/src/glpspm.h @ 9:33de93886c88

Import GLPK 4.47
author Alpar Juttner <alpar@cs.elte.hu>
date Sun, 06 Nov 2011 20:59:10 +0100
parents
children
line diff
     1.1 --- /dev/null	Thu Jan 01 00:00:00 1970 +0000
     1.2 +++ b/deps/glpk/src/glpspm.h	Sun Nov 06 20:59:10 2011 +0100
     1.3 @@ -0,0 +1,165 @@
     1.4 +/* glpspm.h (general sparse matrix) */
     1.5 +
     1.6 +/***********************************************************************
     1.7 +*  This code is part of GLPK (GNU Linear Programming Kit).
     1.8 +*
     1.9 +*  Copyright (C) 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008,
    1.10 +*  2009, 2010, 2011 Andrew Makhorin, Department for Applied Informatics,
    1.11 +*  Moscow Aviation Institute, Moscow, Russia. All rights reserved.
    1.12 +*  E-mail: <mao@gnu.org>.
    1.13 +*
    1.14 +*  GLPK is free software: you can redistribute it and/or modify it
    1.15 +*  under the terms of the GNU General Public License as published by
    1.16 +*  the Free Software Foundation, either version 3 of the License, or
    1.17 +*  (at your option) any later version.
    1.18 +*
    1.19 +*  GLPK is distributed in the hope that it will be useful, but WITHOUT
    1.20 +*  ANY WARRANTY; without even the implied warranty of MERCHANTABILITY
    1.21 +*  or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public
    1.22 +*  License for more details.
    1.23 +*
    1.24 +*  You should have received a copy of the GNU General Public License
    1.25 +*  along with GLPK. If not, see <http://www.gnu.org/licenses/>.
    1.26 +***********************************************************************/
    1.27 +
    1.28 +#ifndef GLPSPM_H
    1.29 +#define GLPSPM_H
    1.30 +
    1.31 +#include "glpdmp.h"
    1.32 +
    1.33 +typedef struct SPM SPM;
    1.34 +typedef struct SPME SPME;
    1.35 +
    1.36 +struct SPM
    1.37 +{     /* general sparse matrix */
    1.38 +      int m;
    1.39 +      /* number of rows, m >= 0 */
    1.40 +      int n;
    1.41 +      /* number of columns, n >= 0 */
    1.42 +      DMP *pool;
    1.43 +      /* memory pool to store matrix elements */
    1.44 +      SPME **row; /* SPME *row[1+m]; */
    1.45 +      /* row[i], 1 <= i <= m, is a pointer to i-th row list */
    1.46 +      SPME **col; /* SPME *col[1+n]; */
    1.47 +      /* col[j], 1 <= j <= n, is a pointer to j-th column list */
    1.48 +};
    1.49 +
    1.50 +struct SPME
    1.51 +{     /* sparse matrix element */
    1.52 +      int i;
    1.53 +      /* row number */
    1.54 +      int j;
    1.55 +      /* column number */
    1.56 +      double val;
    1.57 +      /* element value */
    1.58 +      SPME *r_prev;
    1.59 +      /* pointer to previous element in the same row */
    1.60 +      SPME *r_next;
    1.61 +      /* pointer to next element in the same row */
    1.62 +      SPME *c_prev;
    1.63 +      /* pointer to previous element in the same column */
    1.64 +      SPME *c_next;
    1.65 +      /* pointer to next element in the same column */
    1.66 +};
    1.67 +
    1.68 +typedef struct PER PER;
    1.69 +
    1.70 +struct PER
    1.71 +{     /* permutation matrix */
    1.72 +      int n;
    1.73 +      /* matrix order, n >= 0 */
    1.74 +      int *row; /* int row[1+n]; */
    1.75 +      /* row[i] = j means p[i,j] = 1 */
    1.76 +      int *col; /* int col[1+n]; */
    1.77 +      /* col[j] = i means p[i,j] = 1 */
    1.78 +};
    1.79 +
    1.80 +#define spm_create_mat _glp_spm_create_mat
    1.81 +SPM *spm_create_mat(int m, int n);
    1.82 +/* create general sparse matrix */
    1.83 +
    1.84 +#define spm_new_elem _glp_spm_new_elem
    1.85 +SPME *spm_new_elem(SPM *A, int i, int j, double val);
    1.86 +/* add new element to sparse matrix */
    1.87 +
    1.88 +#define spm_delete_mat _glp_spm_delete_mat
    1.89 +void spm_delete_mat(SPM *A);
    1.90 +/* delete general sparse matrix */
    1.91 +
    1.92 +#define spm_test_mat_e _glp_spm_test_mat_e
    1.93 +SPM *spm_test_mat_e(int n, int c);
    1.94 +/* create test sparse matrix of E(n,c) class */
    1.95 +
    1.96 +#define spm_test_mat_d _glp_spm_test_mat_d
    1.97 +SPM *spm_test_mat_d(int n, int c);
    1.98 +/* create test sparse matrix of D(n,c) class */
    1.99 +
   1.100 +#define spm_show_mat _glp_spm_show_mat
   1.101 +int spm_show_mat(const SPM *A, const char *fname);
   1.102 +/* write sparse matrix pattern in BMP file format */
   1.103 +
   1.104 +#define spm_read_hbm _glp_spm_read_hbm
   1.105 +SPM *spm_read_hbm(const char *fname);
   1.106 +/* read sparse matrix in Harwell-Boeing format */
   1.107 +
   1.108 +#define spm_count_nnz _glp_spm_count_nnz
   1.109 +int spm_count_nnz(const SPM *A);
   1.110 +/* determine number of non-zeros in sparse matrix */
   1.111 +
   1.112 +#define spm_drop_zeros _glp_spm_drop_zeros
   1.113 +int spm_drop_zeros(SPM *A, double eps);
   1.114 +/* remove zero elements from sparse matrix */
   1.115 +
   1.116 +#define spm_read_mat _glp_spm_read_mat
   1.117 +SPM *spm_read_mat(const char *fname);
   1.118 +/* read sparse matrix from text file */
   1.119 +
   1.120 +#define spm_write_mat _glp_spm_write_mat
   1.121 +int spm_write_mat(const SPM *A, const char *fname);
   1.122 +/* write sparse matrix to text file */
   1.123 +
   1.124 +#define spm_transpose _glp_spm_transpose
   1.125 +SPM *spm_transpose(const SPM *A);
   1.126 +/* transpose sparse matrix */
   1.127 +
   1.128 +#define spm_add_sym _glp_spm_add_sym
   1.129 +SPM *spm_add_sym(const SPM *A, const SPM *B);
   1.130 +/* add two sparse matrices (symbolic phase) */
   1.131 +
   1.132 +#define spm_add_num _glp_spm_add_num
   1.133 +void spm_add_num(SPM *C, double alfa, const SPM *A, double beta,
   1.134 +      const SPM *B);
   1.135 +/* add two sparse matrices (numeric phase) */
   1.136 +
   1.137 +#define spm_add_mat _glp_spm_add_mat
   1.138 +SPM *spm_add_mat(double alfa, const SPM *A, double beta,
   1.139 +      const SPM *B);
   1.140 +/* add two sparse matrices (driver routine) */
   1.141 +
   1.142 +#define spm_mul_sym _glp_spm_mul_sym
   1.143 +SPM *spm_mul_sym(const SPM *A, const SPM *B);
   1.144 +/* multiply two sparse matrices (symbolic phase) */
   1.145 +
   1.146 +#define spm_mul_num _glp_spm_mul_num
   1.147 +void spm_mul_num(SPM *C, const SPM *A, const SPM *B);
   1.148 +/* multiply two sparse matrices (numeric phase) */
   1.149 +
   1.150 +#define spm_mul_mat _glp_spm_mul_mat
   1.151 +SPM *spm_mul_mat(const SPM *A, const SPM *B);
   1.152 +/* multiply two sparse matrices (driver routine) */
   1.153 +
   1.154 +#define spm_create_per _glp_spm_create_per
   1.155 +PER *spm_create_per(int n);
   1.156 +/* create permutation matrix */
   1.157 +
   1.158 +#define spm_check_per _glp_spm_check_per
   1.159 +void spm_check_per(PER *P);
   1.160 +/* check permutation matrix for correctness */
   1.161 +
   1.162 +#define spm_delete_per _glp_spm_delete_per
   1.163 +void spm_delete_per(PER *P);
   1.164 +/* delete permutation matrix */
   1.165 +
   1.166 +#endif
   1.167 +
   1.168 +/* eof */