source: git/src/matrix.c @ e3f7ea7

/* matrix.c
 * Matrix building and solving routines
 * Copyright (C) 1993-2003,2010,2013,2024 Olly Betts
 *
 * 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., 51 Franklin St, Fifth Floor, Boston, MA  02110-1301  USA
 */

/*#define SOR 1*/

#if 0
# define DEBUG_INVALID 1
#endif

#include <config.h>

#include "debug.h"
#include "cavern.h"
#include "filename.h"
#include "message.h"
#include "netbits.h"
#include "matrix.h"
#include "out.h"

#undef PRINT_MATRICES
#define PRINT_MATRICES 0

#undef DEBUG_MATRIX_BUILD
#define DEBUG_MATRIX_BUILD 0

#undef DEBUG_MATRIX
#define DEBUG_MATRIX 0

#if PRINT_MATRICES
static void print_matrix(real *M, real *B, long n);
#endif

static void choleski(real *M, real *B, long n);

#ifdef SOR
static void sor(real *M, real *B, long n);
#endif

/* for M(row, col) col must be <= row, so Y <= X */
# define M(X, Y) ((real *)M)[((((OSSIZE_T)(X)) * ((X) + 1)) >> 1) + (Y)]
              /* +(Y>X?0*printf("row<col (line %d)\n",__LINE__):0) */
/*#define M_(X, Y) ((real *)M)[((((OSSIZE_T)(Y)) * ((Y) + 1)) >> 1) + (X)]*/

static void set_row(node *stn, int row_number) {
    // We store the matrix row/column index in stn->colour for quick and easy
    // lookup when copying out the solved station coordinates.
    stn->colour = row_number;
    for (int d = 0; d < 3; d++) {
        linkfor *leg = stn->leg[d];
        if (!leg) break;
        node *to = leg->l.to;
        if (to->colour < 0 && stn->name->pos == to->name->pos) {
            set_row(to, row_number);
        }
    }
}

#ifdef NO_COVARIANCES
# define FACTOR 1
#else
# define FACTOR 3
#endif

/* Find positions for a subset of the reduced network by solving a matrix
 * equation.
 *
 * list is a non-empty linked list of unfixed stations to solve for.
 *
 * As a pre-condition, all stations in list must have a negative value for
 * stn->colour.  This can be ensured by the caller (which avoids having to
 * make an extra pass over the list just to set the colours suitably).
 */
extern void
solve_matrix(node *list)
{
   // Assign a matrix row/column index to each group of stations with the same
   // pos.
   //
   // We also set listend to the last station in the list while doing so, which
   // we use after solving to splice list into fixedlist.
   node *listend = NULL;
   long n = 0;
   for (node *stn = list; stn; stn = stn->next) {
      listend = stn;
      if (stn->colour < 0) {
          set_row(stn, n++);
      }
   }
   SVX_ASSERT(n > 0);

   // Array to map from row/column index to pos.  We fill this in as we build
   // the matrix, and use it to know where to copy the solved station
   // coordinates to.
   pos **stn_tab = osmalloc((OSSIZE_T)(n * ossizeof(pos*)));

   /* (OSSIZE_T) cast may be needed if n >= 181 */
   real *M = osmalloc((OSSIZE_T)((((OSSIZE_T)n * FACTOR * (n * FACTOR + 1)) >> 1)) * ossizeof(real));
   real *B = osmalloc((OSSIZE_T)(n * FACTOR * ossizeof(real)));

   if (!fQuiet) {
      if (n == 1)
         out_current_action(msg(/*Solving one equation*/78));
      else
         out_current_action1(msg(/*Solving %d simultaneous equations*/75), n);
   }

#ifdef NO_COVARIANCES
   int dim = 2;
#else
   int dim = 0; /* Collapse loop to a single iteration. */
#endif
   for ( ; dim >= 0; dim--) {
      /* Initialise M and B to zero - zeroing "linearly" will minimise
       * paging when the matrix is large */
      {
         int end = n * FACTOR;
         for (int row = 0; row < end; row++) B[row] = (real)0.0;
         end = ((OSSIZE_T)n * FACTOR * (n * FACTOR + 1)) >> 1;
         for (int row = 0; row < end; row++) M[row] = (real)0.0;
      }

      /* Construct matrix by going through the stn list.
       *
       * All legs between two fixed stations can be ignored here.
       *
       * Other legs we want to add exactly once to M.  To achieve this we
       * want to:
       *
       * - add forward legs between two unfixed stations,
       *
       * - add legs from unfixed stations to fixed stations (we do them from
       *   the unfixed end so we don't need to detect when we're at a fixed
       *   point cut line and determine which side we're currently dealing
       *   with).
       *
       * To implement this, we only look at legs from unfixed stations and add
       * a leg if to a fixed station, or to an unfixed station and it's a
       * forward leg.
       */
      for (node *stn = list; stn; stn = stn->next) {
         if (dim == 0) {
             stn_tab[stn->colour] = stn->name->pos;
         }

#ifdef NO_COVARIANCES
         real e;
#else
         svar e;
         delta a;
#endif
#if DEBUG_MATRIX_BUILD
         print_prefix(stn->name);
         printf(" used: %d colour %ld\n",
                (!!stn->leg[2]) << 2 | (!!stn -> leg[1]) << 1 | (!!stn->leg[0]),
                stn->colour);

         for (int dirn = 0; dirn <= 2 && stn->leg[dirn]; dirn++) {
            printf("Leg %d, vx=%f, reverse=%d, to ", dirn,
                   stn->leg[dirn]->v[0], stn->leg[dirn]->l.reverse);
            print_prefix(stn->leg[dirn]->l.to->name);
            putnl();
         }
         putnl();
#endif /* DEBUG_MATRIX_BUILD */

         int f = stn->colour;
         SVX_ASSERT(f >= 0);
         {
            for (int dirn = 0; dirn <= 2 && stn->leg[dirn]; dirn++) {
               linkfor *leg = stn->leg[dirn];
               node *to = leg->l.to;
               if (fixed(to)) {
                  bool fRev = !data_here(leg);
                  if (fRev) leg = reverse_leg(leg);
                  /* Ignore equated nodes */
#ifdef NO_COVARIANCES
                  e = leg->v[dim];
                  if (e != (real)0.0) {
                     e = ((real)1.0) / e;
                     M(f,f) += e;
                     B[f] += e * POS(to, dim);
                     if (fRev) {
                        B[f] += leg->d[dim];
                     } else {
                        B[f] -= leg->d[dim];
                     }
                  }
#else
                  if (invert_svar(&e, &leg->v)) {
                     if (fRev) {
                        adddd(&a, &POSD(to), &leg->d);
                     } else {
                        subdd(&a, &POSD(to), &leg->d);
                     }
                     delta b;
                     mulsd(&b, &e, &a);
                     for (int i = 0; i < 3; i++) {
                        M(f * FACTOR + i, f * FACTOR + i) += e[i];
                        B[f * FACTOR + i] += b[i];
                     }
                     M(f * FACTOR + 1, f * FACTOR) += e[3];
                     M(f * FACTOR + 2, f * FACTOR) += e[4];
                     M(f * FACTOR + 2, f * FACTOR + 1) += e[5];
                  }
#endif
               } else if (data_here(leg) &&
                          (leg->l.reverse & FLAG_ARTICULATION) == 0) {
                  /* forward leg, unfixed -> unfixed */
                  int t = to->colour;
                  SVX_ASSERT(t >= 0);
#if DEBUG_MATRIX
# ifdef NO_COVARIANCES
                  printf("Leg %d to %d, var %f, delta %f\n", f, t, e,
                         leg->d[dim]);
# else
                  printf("Leg %d to %d, var (%f, %f, %f; %f, %f, %f), "
                         "delta %f\n", f, t, e[0], e[1], e[2], e[3], e[4], e[5],
                         leg->d[dim]);
# endif
#endif
                  /* Ignore equated nodes & lollipops */
#ifdef NO_COVARIANCES
                  e = leg->v[dim];
                  if (t != f && e != (real)0.0) {
                     e = ((real)1.0) / e;
                     M(f,f) += e;
                     M(t,t) += e;
                     if (f < t) M(t,f) -= e; else M(f,t) -= e;
                     real a = e * leg->d[dim];
                     B[f] -= a;
                     B[t] += a;
                  }
#else
                  if (t != f && invert_svar(&e, &leg->v)) {
                     mulsd(&a, &e, &leg->d);
                     for (int i = 0; i < 3; i++) {
                        M(f * FACTOR + i, f * FACTOR + i) += e[i];
                        M(t * FACTOR + i, t * FACTOR + i) += e[i];
                        if (f < t)
                           M(t * FACTOR + i, f * FACTOR + i) -= e[i];
                        else
                           M(f * FACTOR + i, t * FACTOR + i) -= e[i];
                        B[f * FACTOR + i] -= a[i];
                        B[t * FACTOR + i] += a[i];
                     }
                     M(f * FACTOR + 1, f * FACTOR) += e[3];
                     M(t * FACTOR + 1, t * FACTOR) += e[3];
                     M(f * FACTOR + 2, f * FACTOR) += e[4];
                     M(t * FACTOR + 2, t * FACTOR) += e[4];
                     M(f * FACTOR + 2, f * FACTOR + 1) += e[5];
                     M(t * FACTOR + 2, t * FACTOR + 1) += e[5];
                     if (f < t) {
                        M(t * FACTOR + 1, f * FACTOR) -= e[3];
                        M(t * FACTOR, f * FACTOR + 1) -= e[3];
                        M(t * FACTOR + 2, f * FACTOR) -= e[4];
                        M(t * FACTOR, f * FACTOR + 2) -= e[4];
                        M(t * FACTOR + 2, f * FACTOR + 1) -= e[5];
                        M(t * FACTOR + 1, f * FACTOR + 2) -= e[5];
                     } else {
                        M(f * FACTOR + 1, t * FACTOR) -= e[3];
                        M(f * FACTOR, t * FACTOR + 1) -= e[3];
                        M(f * FACTOR + 2, t * FACTOR) -= e[4];
                        M(f * FACTOR, t * FACTOR + 2) -= e[4];
                        M(f * FACTOR + 2, t * FACTOR + 1) -= e[5];
                        M(f * FACTOR + 1, t * FACTOR + 2) -= e[5];
                     }
                  }
#endif
               }
            }
         }
      }

#if PRINT_MATRICES
      print_matrix(M, B, n * FACTOR); /* 'ave a look! */
#endif

#ifdef SOR
      /* defined in network.c, may be altered by -z<letters> on command line */
      if (optimize & BITA('i'))
         sor(M, B, n * FACTOR);
      else
#endif
         choleski(M, B, n * FACTOR);

      {
         for (int m = (int)(n - 1); m >= 0; m--) {
#ifdef NO_COVARIANCES
            stn_tab[m]->p[dim] = B[m];
            if (dim == 0) {
               SVX_ASSERT2(pos_fixed(stn_tab[m]),
                       "setting station coordinates didn't mark pos as fixed");
            }
#else
            for (int i = 0; i < 3; i++) {
               stn_tab[m]->p[i] = B[m * FACTOR + i];
            }
            SVX_ASSERT2(pos_fixed(stn_tab[m]),
                    "setting station coordinates didn't mark pos as fixed");
#endif
         }
      }
   }

   // Put the solved stations back on fixedlist.
   listend->next = fixedlist;
   if (fixedlist) fixedlist->prev = listend;
   fixedlist = list;

   osfree(B);
   osfree(M);
   osfree(stn_tab);

#if DEBUG_MATRIX
   for (node *stn = list; stn; stn = stn->next) {
      printf("(%8.2f, %8.2f, %8.2f ) ", POS(stn, 0), POS(stn, 1), POS(stn, 2));
      print_prefix(stn->name);
      putnl();
   }
#endif
}

/* Solve MX=B for X by first factoring M into LDL'.  This is a modified form
 * of Choleski factorisation - the original Choleski factorisation is LL',
 * but this modified version has the advantage of avoiding O(n) square root
 * calculations.
 */
/* Note M must be symmetric positive definite */
/* routine is entitled to scribble on M and B if it wishes */
static void
choleski(real *M, real *B, long n)
{
   for (int j = 1; j < n; j++) {
      real V;
      for (int i = 0; i < j; i++) {
         V = (real)0.0;
         for (int k = 0; k < i; k++) V += M(i,k) * M(j,k) * M(k,k);
         M(j,i) = (M(j,i) - V) / M(i,i);
      }
      V = (real)0.0;
      for (int k = 0; k < j; k++) V += M(j,k) * M(j,k) * M(k,k);
      M(j,j) -= V; /* may be best to add M() last for numerical reasons too */
   }

   /* Multiply x by L inverse */
   for (int i = 0; i < n - 1; i++) {
      for (int j = i + 1; j < n; j++) {
         B[j] -= M(j,i) * B[i];
      }
   }

   /* Multiply x by D inverse */
   for (int i = 0; i < n; i++) {
      B[i] /= M(i,i);
   }

   /* Multiply x by (L transpose) inverse */
   for (int i = (int)(n - 1); i > 0; i--) {
      for (int j = i - 1; j >= 0; j--) {
         B[j] -= M(i,j) * B[i];
      }
   }

   /* printf("\n%ld/%ld\n\n",flops,flopsTot); */
}

#ifdef SOR
/* factor to use for SOR (must have 1 <= SOR_factor < 2) */
#define SOR_factor 1.93 /* 1.95 */

/* Solve MX=B for X by SOR of Gauss-Siedel */
/* routine is entitled to scribble on M and B if it wishes */
static void
sor(real *M, real *B, long n)
{
   long it = 0;

   real *X = osmalloc(n * ossizeof(real));

   const real threshold = 0.00001;

   printf("reciprocating diagonal\n"); /* TRANSLATE */

   /* munge diagonal so we can multiply rather than divide */
   for (int row = n - 1; row >= 0; row--) {
      M(row,row) = 1 / M(row,row);
      X[row] = 0;
   }

   printf("starting iteration\n"); /* TRANSLATE */

   real t;
   do {
      /*printf("*");*/
      it++;
      t = 0.0;
      for (int row = 0; row < n; row++) {
         real x = B[row];
         int col;
         for (col = 0; col < row; col++) x -= M(row,col) * X[col];
         for (col++; col < n; col++) x -= M(col,row) * X[col];
         x *= M(row,row);
         real sor_delta = (x - X[row]) * SOR_factor;
         X[row] += sor_delta;
         real t2 = fabs(sor_delta);
         if (t2 > t) t = t2;
      }
      printf("% 6ld: %8.6f\n", it, t);
   } while (t >= threshold && it < 100000);

   if (t >= threshold) {
      fprintf(stderr, "*not* converged after %ld iterations\n", it);
      BUG("iteration stinks");
   }

   printf("%ld iterations\n", it); /* TRANSLATE */

#if 0
   putnl();
   for (int row = n - 1; row >= 0; row--) {
      t = 0.0;
      for (int col = 0; col < row; col++) t += M(row, col) * X[col];
      t += X[row] / M(row, row);
      for (col = row + 1; col < n; col++)
         t += M(col, row) * X[col];
      printf("[ %f %f ]\n", t, B[row]);
   }
#endif

   for (int row = n - 1; row >= 0; row--) B[row] = X[row];

   osfree(X);
   printf("\ndone\n"); /* TRANSLATE */
}
#endif

#if PRINT_MATRICES
static void
print_matrix(real *M, real *B, long n)
{
   printf("Matrix, M and vector, B:\n");
   for (long row = 0; row < n; row++) {
      long col;
      for (col = 0; col <= row; col++) printf("%6.2f\t", M(row, col));
      for (; col <= n; col++) printf(" \t");
      printf("\t%6.2f\n", B[row]);
   }
   putnl();
   return;
}
#endif