Exemplo n.º 1
0
Arquivo: pcholesky.c Projeto: ampl/gsl
static int
pcholesky_decomp (const int copy_uplo, gsl_matrix * A, gsl_permutation * p)
{
  const size_t N = A->size1;

  if (N != A->size2)
    {
      GSL_ERROR("LDLT decomposition requires square matrix", GSL_ENOTSQR);
    }
  else if (p->size != N)
    {
      GSL_ERROR ("permutation length must match matrix size", GSL_EBADLEN);
    }
  else
    {
      gsl_vector_view diag = gsl_matrix_diagonal(A);
      size_t k;

      if (copy_uplo)
        {
          /* save a copy of A in upper triangle (for later rcond calculation) */
          gsl_matrix_transpose_tricpy('L', 0, A, A);
        }

      gsl_permutation_init(p);

      for (k = 0; k < N; ++k)
        {
          gsl_vector_view w;
          size_t j;

          /* compute j = max_idx { A_kk, ..., A_nn } */
          w = gsl_vector_subvector(&diag.vector, k, N - k);
          j = gsl_vector_max_index(&w.vector) + k;
          gsl_permutation_swap(p, k, j);

          cholesky_swap_rowcol(A, k, j);

          if (k < N - 1)
            {
              double alpha = gsl_matrix_get(A, k, k);
              double alphainv = 1.0 / alpha;

              /* v = A(k+1:n, k) */
              gsl_vector_view v = gsl_matrix_subcolumn(A, k, k + 1, N - k - 1);

              /* m = A(k+1:n, k+1:n) */
              gsl_matrix_view m = gsl_matrix_submatrix(A, k + 1, k + 1, N - k - 1, N - k - 1);

              /* m = m - v v^T / alpha */
              gsl_blas_dsyr(CblasLower, -alphainv, &v.vector, &m.matrix);

              /* v = v / alpha */
              gsl_vector_scale(&v.vector, alphainv);
            }
        }

      return GSL_SUCCESS;
    }
}
Exemplo n.º 2
0
int
gsl_linalg_cholesky_invert(gsl_matrix * LLT)
{
  if (LLT->size1 != LLT->size2)
    {
      GSL_ERROR ("cholesky matrix must be square", GSL_ENOTSQR);
    }
  else
    {
      const size_t N = LLT->size1;
      size_t i;
      gsl_vector_view v1, v2;

      /* invert the lower triangle of LLT */
      gsl_linalg_tri_lower_invert(LLT);

      /*
       * The lower triangle of LLT now contains L^{-1}. Now compute
       * A^{-1} = L^{-T} L^{-1}
       */

      for (i = 0; i < N; ++i)
        {
          double aii = gsl_matrix_get(LLT, i, i);

          if (i < N - 1)
            {
              double tmp;

              v1 = gsl_matrix_subcolumn(LLT, i, i, N - i);
              gsl_blas_ddot(&v1.vector, &v1.vector, &tmp);
              gsl_matrix_set(LLT, i, i, tmp);

              if (i > 0)
                {
                  gsl_matrix_view m = gsl_matrix_submatrix(LLT, i + 1, 0, N - i - 1, i);

                  v1 = gsl_matrix_subcolumn(LLT, i, i + 1, N - i - 1);
                  v2 = gsl_matrix_subrow(LLT, i, 0, i);

                  gsl_blas_dgemv(CblasTrans, 1.0, &m.matrix, &v1.vector, aii, &v2.vector);
                }
            }
          else
            {
              v1 = gsl_matrix_row(LLT, N - 1);
              gsl_blas_dscal(aii, &v1.vector);
            }
        }

      /* copy lower triangle to upper */
      gsl_matrix_transpose_tricpy('L', 0, LLT, LLT);

      return GSL_SUCCESS;
    }
} /* gsl_linalg_cholesky_invert() */
Exemplo n.º 3
0
int
gsl_linalg_cholesky_decomp (gsl_matrix * A)
{
  int status;

  status = gsl_linalg_cholesky_decomp1(A);
  if (status == GSL_SUCCESS)
    {
      gsl_matrix_transpose_tricpy('L', 0, A, A);
    }

  return status;
}
Exemplo n.º 4
0
int
gsl_linalg_cholesky_decomp1 (gsl_matrix * A)
{
  const size_t M = A->size1;
  const size_t N = A->size2;

  if (M != N)
    {
      GSL_ERROR("cholesky decomposition requires square matrix", GSL_ENOTSQR);
    }
  else
    {
      size_t j;

      /* save original matrix in upper triangle for later rcond calculation */
      gsl_matrix_transpose_tricpy('L', 0, A, A);

      for (j = 0; j < N; ++j)
        {
          double ajj;
          gsl_vector_view v = gsl_matrix_subcolumn(A, j, j, N - j); /* A(j:n,j) */

          if (j > 0)
            {
              gsl_vector_view w = gsl_matrix_subrow(A, j, 0, j);           /* A(j,1:j-1)^T */
              gsl_matrix_view m = gsl_matrix_submatrix(A, j, 0, N - j, j); /* A(j:n,1:j-1) */

              gsl_blas_dgemv(CblasNoTrans, -1.0, &m.matrix, &w.vector, 1.0, &v.vector);
            }

          ajj = gsl_matrix_get(A, j, j);

          if (ajj <= 0.0)
            {
              GSL_ERROR("matrix is not positive definite", GSL_EDOM);
            }

          ajj = sqrt(ajj);
          gsl_vector_scale(&v.vector, 1.0 / ajj);
        }

      return GSL_SUCCESS;
    }
}
Exemplo n.º 5
0
Arquivo: pcholesky.c Projeto: ampl/gsl
int
gsl_linalg_pcholesky_decomp2(gsl_matrix * A, gsl_permutation * p,
                             gsl_vector * S)
{
  const size_t M = A->size1;
  const size_t N = A->size2;

  if (M != N)
    {
      GSL_ERROR("cholesky decomposition requires square matrix", GSL_ENOTSQR);
    }
  else if (N != p->size)
    {
      GSL_ERROR ("matrix size must match permutation size", GSL_EBADLEN);
    }
  else if (N != S->size)
    {
      GSL_ERROR("S must have length N", GSL_EBADLEN);
    }
  else
    {
      int status;

      /* save a copy of A in upper triangle (for later rcond calculation) */
      gsl_matrix_transpose_tricpy('L', 0, A, A);

      /* compute scaling factors to reduce cond(A) */
      status = gsl_linalg_cholesky_scale(A, S);
      if (status)
        return status;

      /* apply scaling factors */
      status = gsl_linalg_cholesky_scale_apply(A, S);
      if (status)
        return status;

      /* compute Cholesky decomposition of diag(S) A diag(S) */
      status = pcholesky_decomp(0, A, p);
      if (status)
        return status;

      return GSL_SUCCESS;
    }
}
Exemplo n.º 6
0
int
gsl_multifit_linear_Lsobolev(const size_t p, const size_t kmax,
                             const gsl_vector *alpha, gsl_matrix *L,
                             gsl_multifit_linear_workspace *work)
{
  if (p > work->pmax)
    {
      GSL_ERROR("p is larger than workspace", GSL_EBADLEN);
    }
  else if (p <= kmax)
    {
      GSL_ERROR("p must be larger than derivative order", GSL_EBADLEN);
    }
  else if (kmax + 1 != alpha->size)
    {
      GSL_ERROR("alpha must be size kmax + 1", GSL_EBADLEN);
    }
  else if (p != L->size1)
    {
      GSL_ERROR("L matrix is wrong size", GSL_EBADLEN);
    }
  else if (L->size1 != L->size2)
    {
      GSL_ERROR("L matrix is not square", GSL_ENOTSQR);
    }
  else
    {
      int s;
      size_t j, k;
      gsl_vector_view d = gsl_matrix_diagonal(L);
      const double alpha0 = gsl_vector_get(alpha, 0);

      /* initialize L to alpha0^2 I */
      gsl_matrix_set_zero(L);
      gsl_vector_add_constant(&d.vector, alpha0 * alpha0);

      for (k = 1; k <= kmax; ++k)
        {
          gsl_matrix_view Lk = gsl_matrix_submatrix(work->Q, 0, 0, p - k, p);
          double ak = gsl_vector_get(alpha, k);

          /* compute a_k L_k */
          s = gsl_multifit_linear_Lk(p, k, &Lk.matrix);
          if (s)
            return s;
          gsl_matrix_scale(&Lk.matrix, ak);

          /* LTL += L_k^T L_k */
          gsl_blas_dsyrk(CblasLower, CblasTrans, 1.0, &Lk.matrix, 1.0, L);
        }

      s = gsl_linalg_cholesky_decomp(L);
      if (s)
        return s;

      /* copy Cholesky factor to upper triangle and zero out bottom */
      gsl_matrix_transpose_tricpy('L', 1, L, L);

      for (j = 0; j < p; ++j)
        {
          for (k = 0; k < j; ++k)
            gsl_matrix_set(L, j, k, 0.0);
        }

      return GSL_SUCCESS;
    }
}
Exemplo n.º 7
0
Arquivo: pcholesky.c Projeto: ampl/gsl
int
gsl_linalg_pcholesky_invert(const gsl_matrix * LDLT, const gsl_permutation * p,
                            gsl_matrix * Ainv)
{
  const size_t M = LDLT->size1;
  const size_t N = LDLT->size2;

  if (M != N)
    {
      GSL_ERROR ("LDLT matrix must be square", GSL_ENOTSQR);
    }
  else if (LDLT->size1 != p->size)
    {
      GSL_ERROR ("matrix size must match permutation size", GSL_EBADLEN);
    }
  else if (Ainv->size1 != Ainv->size2)
    {
      GSL_ERROR ("Ainv matrix must be square", GSL_ENOTSQR);
    }
  else if (Ainv->size1 != M)
    {
      GSL_ERROR ("Ainv matrix has wrong dimensions", GSL_EBADLEN);
    }
  else
    {
      size_t i, j;
      gsl_vector_view v1, v2;

      /* invert the lower triangle of LDLT */
      gsl_matrix_memcpy(Ainv, LDLT);
      gsl_linalg_tri_lower_unit_invert(Ainv);

      /* compute sqrt(D^{-1}) L^{-1} in the lower triangle of Ainv */
      for (i = 0; i < N; ++i)
        {
          double di = gsl_matrix_get(LDLT, i, i);
          double sqrt_di = sqrt(di);

          for (j = 0; j < i; ++j)
            {
              double *Lij = gsl_matrix_ptr(Ainv, i, j);
              *Lij /= sqrt_di;
            }

          gsl_matrix_set(Ainv, i, i, 1.0 / sqrt_di);
        }

      /*
       * The lower triangle of Ainv now contains D^{-1/2} L^{-1}. Now compute
       * A^{-1} = L^{-T} D^{-1} L^{-1}
       */

      for (i = 0; i < N; ++i)
        {
          double aii = gsl_matrix_get(Ainv, i, i);

          if (i < N - 1)
            {
              double tmp;

              v1 = gsl_matrix_subcolumn(Ainv, i, i, N - i);
              gsl_blas_ddot(&v1.vector, &v1.vector, &tmp);
              gsl_matrix_set(Ainv, i, i, tmp);

              if (i > 0)
                {
                  gsl_matrix_view m = gsl_matrix_submatrix(Ainv, i + 1, 0, N - i - 1, i);

                  v1 = gsl_matrix_subcolumn(Ainv, i, i + 1, N - i - 1);
                  v2 = gsl_matrix_subrow(Ainv, i, 0, i);

                  gsl_blas_dgemv(CblasTrans, 1.0, &m.matrix, &v1.vector, aii, &v2.vector);
                }
            }
          else
            {
              v1 = gsl_matrix_row(Ainv, N - 1);
              gsl_blas_dscal(aii, &v1.vector);
            }
        }

      /* copy lower triangle to upper */
      gsl_matrix_transpose_tricpy('L', 0, Ainv, Ainv);

      /* now apply permutation p to the matrix */

      /* compute L^{-T} D^{-1} L^{-1} P^T */
      for (i = 0; i < N; ++i)
        {
          v1 = gsl_matrix_row(Ainv, i);
          gsl_permute_vector_inverse(p, &v1.vector);
        }

      /* compute P L^{-T} D^{-1} L^{-1} P^T */
      for (i = 0; i < N; ++i)
        {
          v1 = gsl_matrix_column(Ainv, i);
          gsl_permute_vector_inverse(p, &v1.vector);
        }

      return GSL_SUCCESS;
    }
}