/****************************************************************************
**
*A  reduce_matrix.c             ANUPQ source                   Eamonn O'Brien
**
*Y  Copyright 1995-2001,  Lehrstuhl D fuer Mathematik,  RWTH Aachen,  Germany
*Y  Copyright 1995-2001,  School of Mathematical Sciences, ANU,     Australia
**
*/

#include "pq_defs.h"
#include "pga_vars.h"

/* left echelonise mod p the matrix a, which has the supplied dimensions;
   set up its definition set both as a subset and as a bit string  */

void reduce_matrix(
    int **a, int nmr_rows, int nmr_columns, int p, struct pga_vars *pga)
{
   Logical zero;
   register int bound = nmr_columns - 1;
   register int row, column, i, j, index, val;
   register int entry;

   for (row = 0; row < MIN(nmr_rows, nmr_columns); ++row) {

      /* start with the diagonal entry */
      column = row;

      /* find first non-zero entry, if any, in this column;
         if none, advance to next column */
      do {
         index = row;
         while (index < nmr_rows && (zero = (a[index][column] == 0)))
            ++index;
         if (zero) {
            if (column < bound)
               ++column;
            else
               return;
         }
      } while (zero);

      /* if necessary, interchange current row with row index */
      if (index > row) {
         for (j = column; j < nmr_columns; ++j) {
            val = a[index][j];
            a[index][j] = a[row][j];
            a[row][j] = val;
         }
      }

      /* multiply row by the inverse in GF(p) of a[row][column] */
      if ((entry = a[row][column]) != 1) {
         val = pga->inverse_modp[entry];
         a[row][column] = 1;
         for (j = column + 1; j < nmr_columns; ++j)
            a[row][j] = (a[row][j] * val) % p;
      }

      /* now zero out all other entries in this column */
      for (i = 0; i < nmr_rows; ++i) {
         if (a[i][column] == 0 || i == row)
            continue;
         val = p - a[i][column];
         a[i][column] = 0;
         for (j = column + 1; j < nmr_columns; ++j)
            a[i][j] = (a[i][j] + val * a[row][j]) % p;
      }
   }
}
