src/glplux.h
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     1 /* glplux.h (LU-factorization, bignum arithmetic) */
       
     2 
       
     3 /***********************************************************************
       
     4 *  This code is part of GLPK (GNU Linear Programming Kit).
       
     5 *
       
     6 *  Copyright (C) 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008,
       
     7 *  2009, 2010 Andrew Makhorin, Department for Applied Informatics,
       
     8 *  Moscow Aviation Institute, Moscow, Russia. All rights reserved.
       
     9 *  E-mail: <mao@gnu.org>.
       
    10 *
       
    11 *  GLPK is free software: you can redistribute it and/or modify it
       
    12 *  under the terms of the GNU General Public License as published by
       
    13 *  the Free Software Foundation, either version 3 of the License, or
       
    14 *  (at your option) any later version.
       
    15 *
       
    16 *  GLPK is distributed in the hope that it will be useful, but WITHOUT
       
    17 *  ANY WARRANTY; without even the implied warranty of MERCHANTABILITY
       
    18 *  or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public
       
    19 *  License for more details.
       
    20 *
       
    21 *  You should have received a copy of the GNU General Public License
       
    22 *  along with GLPK. If not, see <http://www.gnu.org/licenses/>.
       
    23 ***********************************************************************/
       
    24 
       
    25 #ifndef GLPLUX_H
       
    26 #define GLPLUX_H
       
    27 
       
    28 #include "glpdmp.h"
       
    29 #include "glpgmp.h"
       
    30 
       
    31 /*----------------------------------------------------------------------
       
    32 // The structure LUX defines LU-factorization of a square matrix A,
       
    33 // which is the following quartet:
       
    34 //
       
    35 //    [A] = (F, V, P, Q),                                            (1)
       
    36 //
       
    37 // where F and V are such matrices that
       
    38 //
       
    39 //    A = F * V,                                                     (2)
       
    40 //
       
    41 // and P and Q are such permutation matrices that the matrix
       
    42 //
       
    43 //    L = P * F * inv(P)                                             (3)
       
    44 //
       
    45 // is lower triangular with unity diagonal, and the matrix
       
    46 //
       
    47 //    U = P * V * Q                                                  (4)
       
    48 //
       
    49 // is upper triangular. All the matrices have the order n.
       
    50 //
       
    51 // The matrices F and V are stored in row/column-wise sparse format as
       
    52 // row and column linked lists of non-zero elements. Unity elements on
       
    53 // the main diagonal of the matrix F are not stored. Pivot elements of
       
    54 // the matrix V (that correspond to diagonal elements of the matrix U)
       
    55 // are also missing from the row and column lists and stored separately
       
    56 // in an ordinary array.
       
    57 //
       
    58 // The permutation matrices P and Q are stored as ordinary arrays using
       
    59 // both row- and column-like formats.
       
    60 //
       
    61 // The matrices L and U being completely defined by the matrices F, V,
       
    62 // P, and Q are not stored explicitly.
       
    63 //
       
    64 // It is easy to show that the factorization (1)-(3) is some version of
       
    65 // LU-factorization. Indeed, from (3) and (4) it follows that:
       
    66 //
       
    67 //    F = inv(P) * L * P,
       
    68 //
       
    69 //    V = inv(P) * U * inv(Q),
       
    70 //
       
    71 // and substitution into (2) gives:
       
    72 //
       
    73 //    A = F * V = inv(P) * L * U * inv(Q).
       
    74 //
       
    75 // For more details see the program documentation. */
       
    76 
       
    77 typedef struct LUX LUX;
       
    78 typedef struct LUXELM LUXELM;
       
    79 typedef struct LUXWKA LUXWKA;
       
    80 
       
    81 struct LUX
       
    82 {     /* LU-factorization of a square matrix */
       
    83       int n;
       
    84       /* the order of matrices A, F, V, P, Q */
       
    85       DMP *pool;
       
    86       /* memory pool for elements of matrices F and V */
       
    87       LUXELM **F_row; /* LUXELM *F_row[1+n]; */
       
    88       /* F_row[0] is not used;
       
    89          F_row[i], 1 <= i <= n, is a pointer to the list of elements in
       
    90          i-th row of matrix F (diagonal elements are not stored) */
       
    91       LUXELM **F_col; /* LUXELM *F_col[1+n]; */
       
    92       /* F_col[0] is not used;
       
    93          F_col[j], 1 <= j <= n, is a pointer to the list of elements in
       
    94          j-th column of matrix F (diagonal elements are not stored) */
       
    95       mpq_t *V_piv; /* mpq_t V_piv[1+n]; */
       
    96       /* V_piv[0] is not used;
       
    97          V_piv[p], 1 <= p <= n, is a pivot element v[p,q] corresponding
       
    98          to a diagonal element u[k,k] of matrix U = P*V*Q (used on k-th
       
    99          elimination step, k = 1, 2, ..., n) */
       
   100       LUXELM **V_row; /* LUXELM *V_row[1+n]; */
       
   101       /* V_row[0] is not used;
       
   102          V_row[i], 1 <= i <= n, is a pointer to the list of elements in
       
   103          i-th row of matrix V (except pivot elements) */
       
   104       LUXELM **V_col; /* LUXELM *V_col[1+n]; */
       
   105       /* V_col[0] is not used;
       
   106          V_col[j], 1 <= j <= n, is a pointer to the list of elements in
       
   107          j-th column of matrix V (except pivot elements) */
       
   108       int *P_row; /* int P_row[1+n]; */
       
   109       /* P_row[0] is not used;
       
   110          P_row[i] = j means that p[i,j] = 1, where p[i,j] is an element
       
   111          of permutation matrix P */
       
   112       int *P_col; /* int P_col[1+n]; */
       
   113       /* P_col[0] is not used;
       
   114          P_col[j] = i means that p[i,j] = 1, where p[i,j] is an element
       
   115          of permutation matrix P */
       
   116       /* if i-th row or column of matrix F is i'-th row or column of
       
   117          matrix L = P*F*inv(P), or if i-th row of matrix V is i'-th row
       
   118          of matrix U = P*V*Q, then P_row[i'] = i and P_col[i] = i' */
       
   119       int *Q_row; /* int Q_row[1+n]; */
       
   120       /* Q_row[0] is not used;
       
   121          Q_row[i] = j means that q[i,j] = 1, where q[i,j] is an element
       
   122          of permutation matrix Q */
       
   123       int *Q_col; /* int Q_col[1+n]; */
       
   124       /* Q_col[0] is not used;
       
   125          Q_col[j] = i means that q[i,j] = 1, where q[i,j] is an element
       
   126          of permutation matrix Q */
       
   127       /* if j-th column of matrix V is j'-th column of matrix U = P*V*Q,
       
   128          then Q_row[j] = j' and Q_col[j'] = j */
       
   129       int rank;
       
   130       /* the (exact) rank of matrices A and V */
       
   131 };
       
   132 
       
   133 struct LUXELM
       
   134 {     /* element of matrix F or V */
       
   135       int i;
       
   136       /* row index, 1 <= i <= m */
       
   137       int j;
       
   138       /* column index, 1 <= j <= n */
       
   139       mpq_t val;
       
   140       /* numeric (non-zero) element value */
       
   141       LUXELM *r_prev;
       
   142       /* pointer to previous element in the same row */
       
   143       LUXELM *r_next;
       
   144       /* pointer to next element in the same row */
       
   145       LUXELM *c_prev;
       
   146       /* pointer to previous element in the same column */
       
   147       LUXELM *c_next;
       
   148       /* pointer to next element in the same column */
       
   149 };
       
   150 
       
   151 struct LUXWKA
       
   152 {     /* working area (used only during factorization) */
       
   153       /* in order to efficiently implement Markowitz strategy and Duff
       
   154          search technique there are two families {R[0], R[1], ..., R[n]}
       
   155          and {C[0], C[1], ..., C[n]}; member R[k] is a set of active
       
   156          rows of matrix V having k non-zeros, and member C[k] is a set
       
   157          of active columns of matrix V having k non-zeros (in the active
       
   158          submatrix); each set R[k] and C[k] is implemented as a separate
       
   159          doubly linked list */
       
   160       int *R_len; /* int R_len[1+n]; */
       
   161       /* R_len[0] is not used;
       
   162          R_len[i], 1 <= i <= n, is the number of non-zero elements in
       
   163          i-th row of matrix V (that is the length of i-th row) */
       
   164       int *R_head; /* int R_head[1+n]; */
       
   165       /* R_head[k], 0 <= k <= n, is the number of a first row, which is
       
   166          active and whose length is k */
       
   167       int *R_prev; /* int R_prev[1+n]; */
       
   168       /* R_prev[0] is not used;
       
   169          R_prev[i], 1 <= i <= n, is the number of a previous row, which
       
   170          is active and has the same length as i-th row */
       
   171       int *R_next; /* int R_next[1+n]; */
       
   172       /* R_prev[0] is not used;
       
   173          R_prev[i], 1 <= i <= n, is the number of a next row, which is
       
   174          active and has the same length as i-th row */
       
   175       int *C_len; /* int C_len[1+n]; */
       
   176       /* C_len[0] is not used;
       
   177          C_len[j], 1 <= j <= n, is the number of non-zero elements in
       
   178          j-th column of the active submatrix of matrix V (that is the
       
   179          length of j-th column in the active submatrix) */
       
   180       int *C_head; /* int C_head[1+n]; */
       
   181       /* C_head[k], 0 <= k <= n, is the number of a first column, which
       
   182          is active and whose length is k */
       
   183       int *C_prev; /* int C_prev[1+n]; */
       
   184       /* C_prev[0] is not used;
       
   185          C_prev[j], 1 <= j <= n, is the number of a previous column,
       
   186          which is active and has the same length as j-th column */
       
   187       int *C_next; /* int C_next[1+n]; */
       
   188       /* C_next[0] is not used;
       
   189          C_next[j], 1 <= j <= n, is the number of a next column, which
       
   190          is active and has the same length as j-th column */
       
   191 };
       
   192 
       
   193 #define lux_create            _glp_lux_create
       
   194 #define lux_decomp            _glp_lux_decomp
       
   195 #define lux_f_solve           _glp_lux_f_solve
       
   196 #define lux_v_solve           _glp_lux_v_solve
       
   197 #define lux_solve             _glp_lux_solve
       
   198 #define lux_delete            _glp_lux_delete
       
   199 
       
   200 LUX *lux_create(int n);
       
   201 /* create LU-factorization */
       
   202 
       
   203 int lux_decomp(LUX *lux, int (*col)(void *info, int j, int ind[],
       
   204       mpq_t val[]), void *info);
       
   205 /* compute LU-factorization */
       
   206 
       
   207 void lux_f_solve(LUX *lux, int tr, mpq_t x[]);
       
   208 /* solve system F*x = b or F'*x = b */
       
   209 
       
   210 void lux_v_solve(LUX *lux, int tr, mpq_t x[]);
       
   211 /* solve system V*x = b or V'*x = b */
       
   212 
       
   213 void lux_solve(LUX *lux, int tr, mpq_t x[]);
       
   214 /* solve system A*x = b or A'*x = b */
       
   215 
       
   216 void lux_delete(LUX *lux);
       
   217 /* delete LU-factorization */
       
   218 
       
   219 #endif
       
   220 
       
   221 /* eof */