コード例 #1
0
ファイル: t-matrix22.c プロジェクト: RodneyBates/M3Devel
static void
one_test (const struct matrix *A, const struct matrix *B, int i)
{
  struct matrix R;
  struct matrix P;
  mp_ptr tp;

  matrix_init (&R, A->n + B->n + 1);
  matrix_init (&P, A->n + B->n + 1);

  tp = refmpn_malloc_limbs (mpn_matrix22_mul_itch (A->n, B->n));

  ref_matrix22_mul (&R, A, B, tp);
  matrix_copy (&P, A);
  mpn_matrix22_mul (P.e00, P.e01, P.e10, P.e11, A->n,
		    B->e00, B->e01, B->e10, B->e11, B->n, tp);
  P.n = A->n + B->n + 1;
  if (!matrix_equal_p (&R, &P))
    {
      fprintf (stderr, "ERROR in test %d\n", i);
      gmp_fprintf (stderr, "A = (%Nx, %Nx\n      %Nx, %Nx)\n"
		   "B = (%Nx, %Nx\n      %Nx, %Nx)\n"
		   "R = (%Nx, %Nx (expected)\n      %Nx, %Nx)\n"
		   "P = (%Nx, %Nx (incorrect)\n      %Nx, %Nx)\n",
		   A->e00, A->n, A->e01, A->n, A->e10, A->n, A->e11, A->n,
		   B->e00, B->n, B->e01, B->n, B->e10, B->n, B->e11, B->n,
		   R.e00, R.n, R.e01, R.n, R.e10, R.n, R.e11, R.n,
		   P.e00, P.n, P.e01, P.n, P.e10, P.n, P.e11, P.n);
      abort();
    }
  refmpn_free_limbs (tp);
  matrix_clear (&R);
  matrix_clear (&P);
}
コード例 #2
0
ファイル: hgcd.c プロジェクト: qsnake/mpir
/* Multiply M by M1 from the right. Needs 3*(M->n + M1->n) + 5 limbs
   of temporary storage (see mpn_matrix22_mul_itch). */
void
mpn_hgcd_matrix_mul (struct hgcd_matrix *M, const struct hgcd_matrix *M1,
             mp_ptr tp)
{
  mp_size_t n;

  /* About the new size of M:s elements. Since M1's diagonal elements
     are > 0, no element can decrease. The new elements are of size
     M->n + M1->n, one limb more or less. The computation of the
     matrix product produces elements of size M->n + M1->n + 1. But
     the true size, after normalization, may be three limbs smaller.

     The reason that the product has normalized size >= M->n + M1->n -
     2 is subtle. It depends on the fact that M and M1 can be factored
     as products of (1,1; 0,1) and (1,0; 1,1), and that we can't have
     M ending with a large power and M1 starting with a large power of
     the same matrix. */

  /* FIXME: Strassen multiplication gives only a small speedup. In FFT
     multiplication range, this function could be sped up quite a lot
     using invariance. */
  ASSERT (M->n + M1->n < M->alloc);

  ASSERT ((M->p[0][0][M->n-1] | M->p[0][1][M->n-1]
       | M->p[1][0][M->n-1] | M->p[1][1][M->n-1]) > 0);

  ASSERT ((M1->p[0][0][M1->n-1] | M1->p[0][1][M1->n-1]
       | M1->p[1][0][M1->n-1] | M1->p[1][1][M1->n-1]) > 0);

  mpn_matrix22_mul (M->p[0][0], M->p[0][1],
            M->p[1][0], M->p[1][1], M->n,
            M1->p[0][0], M1->p[0][1],
            M1->p[1][0], M1->p[1][1], M1->n, tp);

  /* Index of last potentially non-zero limb, size is one greater. */
  n = M->n + M1->n;

  n -= ((M->p[0][0][n] | M->p[0][1][n] | M->p[1][0][n] | M->p[1][1][n]) == 0);
  n -= ((M->p[0][0][n] | M->p[0][1][n] | M->p[1][0][n] | M->p[1][1][n]) == 0);
  n -= ((M->p[0][0][n] | M->p[0][1][n] | M->p[1][0][n] | M->p[1][1][n]) == 0);

  ASSERT ((M->p[0][0][n] | M->p[0][1][n] | M->p[1][0][n] | M->p[1][1][n]) > 0);

  M->n = n + 1;
}