metaforce/gmm/gmm_precond_ilu.h

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C++

/* -*- c++ -*- (enables emacs c++ mode) */
/*===========================================================================
Copyright (C) 2002-2017 Yves Renard
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// This file is a modified version of ilu.h from ITL.
// See http://osl.iu.edu/research/itl/
// Following the corresponding Copyright notice.
//===========================================================================
//
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/**@file gmm_precond_ilu.h
@author Andrew Lumsdaine <lums@osl.iu.edu>
@author Lie-Quan Lee <llee@osl.iu.edu>
@author Yves Renard <yves.renard@insa-lyon.fr>
@date June 5, 2003.
@brief Incomplete LU without fill-in Preconditioner.
*/
#ifndef GMM_PRECOND_ILU_H
#define GMM_PRECOND_ILU_H
//
// Notes: The idea under a concrete Preconditioner such
// as Incomplete LU is to create a Preconditioner
// object to use in iterative methods.
//
#include "gmm_precond.h"
namespace gmm {
/** Incomplete LU without fill-in Preconditioner. */
template <typename Matrix>
class ilu_precond {
public :
typedef typename linalg_traits<Matrix>::value_type value_type;
typedef csr_matrix_ref<value_type *, size_type *, size_type *, 0> tm_type;
tm_type U, L;
bool invert;
protected :
std::vector<value_type> L_val, U_val;
std::vector<size_type> L_ind, U_ind, L_ptr, U_ptr;
template<typename M> void do_ilu(const M& A, row_major);
void do_ilu(const Matrix& A, col_major);
public:
size_type nrows(void) const { return mat_nrows(L); }
size_type ncols(void) const { return mat_ncols(U); }
void build_with(const Matrix& A) {
invert = false;
L_ptr.resize(mat_nrows(A)+1);
U_ptr.resize(mat_nrows(A)+1);
do_ilu(A, typename principal_orientation_type<typename
linalg_traits<Matrix>::sub_orientation>::potype());
}
ilu_precond(const Matrix& A) { build_with(A); }
ilu_precond(void) {}
size_type memsize() const {
return sizeof(*this) +
(L_val.size()+U_val.size()) * sizeof(value_type) +
(L_ind.size()+L_ptr.size()) * sizeof(size_type) +
(U_ind.size()+U_ptr.size()) * sizeof(size_type);
}
};
template <typename Matrix> template <typename M>
void ilu_precond<Matrix>::do_ilu(const M& A, row_major) {
typedef typename linalg_traits<Matrix>::storage_type store_type;
typedef value_type T;
typedef typename number_traits<T>::magnitude_type R;
size_type L_loc = 0, U_loc = 0, n = mat_nrows(A), i, j, k;
if (n == 0) return;
L_ptr[0] = 0; U_ptr[0] = 0;
R prec = default_tol(R());
R max_pivot = gmm::abs(A(0,0)) * prec;
for (int count = 0; count < 2; ++count) {
if (count) {
L_val.resize(L_loc); L_ind.resize(L_loc);
U_val.resize(U_loc); U_ind.resize(U_loc);
}
L_loc = U_loc = 0;
for (i = 0; i < n; ++i) {
typedef typename linalg_traits<M>::const_sub_row_type row_type;
row_type row = mat_const_row(A, i);
typename linalg_traits<typename org_type<row_type>::t>::const_iterator
it = vect_const_begin(row), ite = vect_const_end(row);
if (count) { U_val[U_loc] = T(0); U_ind[U_loc] = i; }
++U_loc; // diagonal element
for (k = 0; it != ite && k < 1000; ++it, ++k) {
// if a plain row is present, retains only the 1000 firsts
// nonzero elements. ---> a sort should be done.
j = index_of_it(it, k, store_type());
if (j < i) {
if (count) { L_val[L_loc] = *it; L_ind[L_loc] = j; }
L_loc++;
}
else if (i == j) {
if (count) U_val[U_loc-1] = *it;
}
else {
if (count) { U_val[U_loc] = *it; U_ind[U_loc] = j; }
U_loc++;
}
}
L_ptr[i+1] = L_loc; U_ptr[i+1] = U_loc;
}
}
if (A(0,0) == T(0)) {
U_val[U_ptr[0]] = T(1);
GMM_WARNING2("pivot 0 is too small");
}
size_type qn, pn, rn;
for (i = 1; i < n; i++) {
pn = U_ptr[i];
if (gmm::abs(U_val[pn]) <= max_pivot) {
U_val[pn] = T(1);
GMM_WARNING2("pivot " << i << " is too small");
}
max_pivot = std::max(max_pivot,
std::min(gmm::abs(U_val[pn]) * prec, R(1)));
for (j = L_ptr[i]; j < L_ptr[i+1]; j++) {
pn = U_ptr[L_ind[j]];
T multiplier = (L_val[j] /= U_val[pn]);
qn = j + 1;
rn = U_ptr[i];
for (pn++; pn < U_ptr[L_ind[j]+1] && U_ind[pn] < i; pn++) {
while (qn < L_ptr[i+1] && L_ind[qn] < U_ind[pn])
qn++;
if (qn < L_ptr[i+1] && U_ind[pn] == L_ind[qn])
L_val[qn] -= multiplier * U_val[pn];
}
for (; pn < U_ptr[L_ind[j]+1]; pn++) {
while (rn < U_ptr[i+1] && U_ind[rn] < U_ind[pn])
rn++;
if (rn < U_ptr[i+1] && U_ind[pn] == U_ind[rn])
U_val[rn] -= multiplier * U_val[pn];
}
}
}
L = tm_type(&(L_val[0]), &(L_ind[0]), &(L_ptr[0]), n, mat_ncols(A));
U = tm_type(&(U_val[0]), &(U_ind[0]), &(U_ptr[0]), n, mat_ncols(A));
}
template <typename Matrix>
void ilu_precond<Matrix>::do_ilu(const Matrix& A, col_major) {
do_ilu(gmm::transposed(A), row_major());
invert = true;
}
template <typename Matrix, typename V1, typename V2> inline
void mult(const ilu_precond<Matrix>& P, const V1 &v1, V2 &v2) {
gmm::copy(v1, v2);
if (P.invert) {
gmm::lower_tri_solve(gmm::transposed(P.U), v2, false);
gmm::upper_tri_solve(gmm::transposed(P.L), v2, true);
}
else {
gmm::lower_tri_solve(P.L, v2, true);
gmm::upper_tri_solve(P.U, v2, false);
}
}
template <typename Matrix, typename V1, typename V2> inline
void transposed_mult(const ilu_precond<Matrix>& P,const V1 &v1,V2 &v2) {
gmm::copy(v1, v2);
if (P.invert) {
gmm::lower_tri_solve(P.L, v2, true);
gmm::upper_tri_solve(P.U, v2, false);
}
else {
gmm::lower_tri_solve(gmm::transposed(P.U), v2, false);
gmm::upper_tri_solve(gmm::transposed(P.L), v2, true);
}
}
template <typename Matrix, typename V1, typename V2> inline
void left_mult(const ilu_precond<Matrix>& P, const V1 &v1, V2 &v2) {
copy(v1, v2);
if (P.invert) gmm::lower_tri_solve(gmm::transposed(P.U), v2, false);
else gmm::lower_tri_solve(P.L, v2, true);
}
template <typename Matrix, typename V1, typename V2> inline
void right_mult(const ilu_precond<Matrix>& P, const V1 &v1, V2 &v2) {
copy(v1, v2);
if (P.invert) gmm::upper_tri_solve(gmm::transposed(P.L), v2, true);
else gmm::upper_tri_solve(P.U, v2, false);
}
template <typename Matrix, typename V1, typename V2> inline
void transposed_left_mult(const ilu_precond<Matrix>& P, const V1 &v1,
V2 &v2) {
copy(v1, v2);
if (P.invert) gmm::upper_tri_solve(P.U, v2, false);
else gmm::upper_tri_solve(gmm::transposed(P.L), v2, true);
}
template <typename Matrix, typename V1, typename V2> inline
void transposed_right_mult(const ilu_precond<Matrix>& P, const V1 &v1,
V2 &v2) {
copy(v1, v2);
if (P.invert) gmm::lower_tri_solve(P.L, v2, true);
else gmm::lower_tri_solve(gmm::transposed(P.U), v2, false);
}
}
#endif