You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
1201 lines
48 KiB
1201 lines
48 KiB
/* -*- c++ -*- (enables emacs c++ mode) */
|
|
/*===========================================================================
|
|
|
|
Copyright (C) 2002-2012 Yves Renard
|
|
|
|
This file is a part of GETFEM++
|
|
|
|
Getfem++ is free software; you can redistribute it and/or modify it
|
|
under the terms of the GNU Lesser General Public License as published
|
|
by the Free Software Foundation; either version 3 of the License, or
|
|
(at your option) any later version along with the GCC Runtime Library
|
|
Exception either version 3.1 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 Lesser General Public
|
|
License and GCC Runtime Library Exception for more details.
|
|
You should have received a copy of the GNU Lesser 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.
|
|
|
|
As a special exception, you may use this file as it is a part of a free
|
|
software library without restriction. Specifically, if other files
|
|
instantiate templates or use macros or inline functions from this file,
|
|
or you compile this file and link it with other files to produce an
|
|
executable, this file does not by itself cause the resulting executable
|
|
to be covered by the GNU Lesser General Public License. This exception
|
|
does not however invalidate any other reasons why the executable file
|
|
might be covered by the GNU Lesser General Public License.
|
|
|
|
===========================================================================*/
|
|
|
|
/** @file gmm_matrix.h
|
|
@author Yves Renard <Yves.Renard@insa-lyon.fr>
|
|
@date October 13, 2002.
|
|
@brief Declaration of some matrix types (gmm::dense_matrix,
|
|
gmm::row_matrix, gmm::col_matrix, gmm::csc_matrix, etc.)
|
|
*/
|
|
|
|
#ifndef GMM_MATRIX_H__
|
|
#define GMM_MATRIX_H__
|
|
|
|
#include "gmm_vector.h"
|
|
#include "gmm_sub_vector.h"
|
|
#include "gmm_sub_matrix.h"
|
|
#include "gmm_transposed.h"
|
|
|
|
namespace gmm
|
|
{
|
|
|
|
/* ******************************************************************** */
|
|
/* */
|
|
/* Identity matrix */
|
|
/* */
|
|
/* ******************************************************************** */
|
|
|
|
struct identity_matrix {
|
|
template <class MAT> void build_with(const MAT &) {}
|
|
};
|
|
|
|
template <typename M> inline
|
|
void add(const identity_matrix&, M &v1) {
|
|
size_type n = std::min(gmm::mat_nrows(v1), gmm::mat_ncols(v1));
|
|
for (size_type i = 0; i < n; ++i)
|
|
v1(i,i) += typename linalg_traits<M>::value_type(1);
|
|
}
|
|
template <typename M> inline
|
|
void add(const identity_matrix &I, const M &v1)
|
|
{ add(I, linalg_const_cast(v1)); }
|
|
|
|
template <typename V1, typename V2> inline
|
|
void mult(const identity_matrix&, const V1 &v1, V2 &v2)
|
|
{ copy(v1, v2); }
|
|
template <typename V1, typename V2> inline
|
|
void mult(const identity_matrix&, const V1 &v1, const V2 &v2)
|
|
{ copy(v1, v2); }
|
|
template <typename V1, typename V2, typename V3> inline
|
|
void mult(const identity_matrix&, const V1 &v1, const V2 &v2, V3 &v3)
|
|
{ add(v1, v2, v3); }
|
|
template <typename V1, typename V2, typename V3> inline
|
|
void mult(const identity_matrix&, const V1 &v1, const V2 &v2, const V3 &v3)
|
|
{ add(v1, v2, v3); }
|
|
template <typename V1, typename V2> inline
|
|
void left_mult(const identity_matrix&, const V1 &v1, V2 &v2)
|
|
{ copy(v1, v2); }
|
|
template <typename V1, typename V2> inline
|
|
void left_mult(const identity_matrix&, const V1 &v1, const V2 &v2)
|
|
{ copy(v1, v2); }
|
|
template <typename V1, typename V2> inline
|
|
void right_mult(const identity_matrix&, const V1 &v1, V2 &v2)
|
|
{ copy(v1, v2); }
|
|
template <typename V1, typename V2> inline
|
|
void right_mult(const identity_matrix&, const V1 &v1, const V2 &v2)
|
|
{ copy(v1, v2); }
|
|
template <typename V1, typename V2> inline
|
|
void transposed_left_mult(const identity_matrix&, const V1 &v1, V2 &v2)
|
|
{ copy(v1, v2); }
|
|
template <typename V1, typename V2> inline
|
|
void transposed_left_mult(const identity_matrix&, const V1 &v1,const V2 &v2)
|
|
{ copy(v1, v2); }
|
|
template <typename V1, typename V2> inline
|
|
void transposed_right_mult(const identity_matrix&, const V1 &v1, V2 &v2)
|
|
{ copy(v1, v2); }
|
|
template <typename V1, typename V2> inline
|
|
void transposed_right_mult(const identity_matrix&,const V1 &v1,const V2 &v2)
|
|
{ copy(v1, v2); }
|
|
template <typename M> void copy_ident(const identity_matrix&, M &m) {
|
|
size_type i = 0, n = std::min(mat_nrows(m), mat_ncols(m));
|
|
clear(m);
|
|
for (; i < n; ++i) m(i,i) = typename linalg_traits<M>::value_type(1);
|
|
}
|
|
template <typename M> inline void copy(const identity_matrix&, M &m)
|
|
{ copy_ident(identity_matrix(), m); }
|
|
template <typename M> inline void copy(const identity_matrix &, const M &m)
|
|
{ copy_ident(identity_matrix(), linalg_const_cast(m)); }
|
|
template <typename V1, typename V2> inline
|
|
typename linalg_traits<V1>::value_type
|
|
vect_sp(const identity_matrix &, const V1 &v1, const V2 &v2)
|
|
{ return vect_sp(v1, v2); }
|
|
template <typename V1, typename V2> inline
|
|
typename linalg_traits<V1>::value_type
|
|
vect_hp(const identity_matrix &, const V1 &v1, const V2 &v2)
|
|
{ return vect_hp(v1, v2); }
|
|
template<typename M> inline bool is_identity(const M&) { return false; }
|
|
inline bool is_identity(const identity_matrix&) { return true; }
|
|
|
|
/* ******************************************************************** */
|
|
/* */
|
|
/* Row matrix */
|
|
/* */
|
|
/* ******************************************************************** */
|
|
|
|
template<typename V> class row_matrix {
|
|
protected :
|
|
std::vector<V> li; /* array of rows. */
|
|
size_type nc;
|
|
|
|
public :
|
|
|
|
typedef typename linalg_traits<V>::reference reference;
|
|
typedef typename linalg_traits<V>::value_type value_type;
|
|
|
|
row_matrix(size_type r, size_type c) : li(r, V(c)), nc(c) {}
|
|
row_matrix(void) : nc(0) {}
|
|
reference operator ()(size_type l, size_type c)
|
|
{ return li[l][c]; }
|
|
value_type operator ()(size_type l, size_type c) const
|
|
{ return li[l][c]; }
|
|
|
|
void clear_mat();
|
|
void resize(size_type m, size_type n);
|
|
|
|
typename std::vector<V>::iterator begin(void)
|
|
{ return li.begin(); }
|
|
typename std::vector<V>::iterator end(void)
|
|
{ return li.end(); }
|
|
typename std::vector<V>::const_iterator begin(void) const
|
|
{ return li.begin(); }
|
|
typename std::vector<V>::const_iterator end(void) const
|
|
{ return li.end(); }
|
|
|
|
|
|
V& row(size_type i) { return li[i]; }
|
|
const V& row(size_type i) const { return li[i]; }
|
|
V& operator[](size_type i) { return li[i]; }
|
|
const V& operator[](size_type i) const { return li[i]; }
|
|
|
|
inline size_type nrows(void) const { return li.size(); }
|
|
inline size_type ncols(void) const { return nc; }
|
|
|
|
void swap(row_matrix<V> &m) { std::swap(li, m.li); std::swap(nc, m.nc); }
|
|
void swap_row(size_type i, size_type j) { std::swap(li[i], li[j]); }
|
|
};
|
|
|
|
template<typename V> void row_matrix<V>::resize(size_type m, size_type n) {
|
|
size_type nr = std::min(nrows(), m);
|
|
li.resize(m);
|
|
for (size_type i=nr; i < m; ++i) gmm::resize(li[i], n);
|
|
if (n != nc) {
|
|
for (size_type i=0; i < nr; ++i) gmm::resize(li[i], n);
|
|
nc = n;
|
|
}
|
|
}
|
|
|
|
|
|
template<typename V> void row_matrix<V>::clear_mat()
|
|
{ for (size_type i=0; i < nrows(); ++i) clear(li[i]); }
|
|
|
|
template <typename V> struct linalg_traits<row_matrix<V> > {
|
|
typedef row_matrix<V> this_type;
|
|
typedef this_type origin_type;
|
|
typedef linalg_false is_reference;
|
|
typedef abstract_matrix linalg_type;
|
|
typedef typename linalg_traits<V>::value_type value_type;
|
|
typedef typename linalg_traits<V>::reference reference;
|
|
typedef typename linalg_traits<V>::storage_type storage_type;
|
|
typedef simple_vector_ref<V *> sub_row_type;
|
|
typedef simple_vector_ref<const V *> const_sub_row_type;
|
|
typedef typename std::vector<V>::iterator row_iterator;
|
|
typedef typename std::vector<V>::const_iterator const_row_iterator;
|
|
typedef abstract_null_type sub_col_type;
|
|
typedef abstract_null_type const_sub_col_type;
|
|
typedef abstract_null_type col_iterator;
|
|
typedef abstract_null_type const_col_iterator;
|
|
typedef row_major sub_orientation;
|
|
typedef linalg_true index_sorted;
|
|
static size_type nrows(const this_type &m) { return m.nrows(); }
|
|
static size_type ncols(const this_type &m) { return m.ncols(); }
|
|
static row_iterator row_begin(this_type &m) { return m.begin(); }
|
|
static row_iterator row_end(this_type &m) { return m.end(); }
|
|
static const_row_iterator row_begin(const this_type &m)
|
|
{ return m.begin(); }
|
|
static const_row_iterator row_end(const this_type &m)
|
|
{ return m.end(); }
|
|
static const_sub_row_type row(const const_row_iterator &it)
|
|
{ return const_sub_row_type(*it); }
|
|
static sub_row_type row(const row_iterator &it)
|
|
{ return sub_row_type(*it); }
|
|
static origin_type* origin(this_type &m) { return &m; }
|
|
static const origin_type* origin(const this_type &m) { return &m; }
|
|
static void do_clear(this_type &m) { m.clear_mat(); }
|
|
static value_type access(const const_row_iterator &itrow, size_type j)
|
|
{ return (*itrow)[j]; }
|
|
static reference access(const row_iterator &itrow, size_type j)
|
|
{ return (*itrow)[j]; }
|
|
static void resize(this_type &v, size_type m, size_type n)
|
|
{ v.resize(m, n); }
|
|
static void reshape(this_type &, size_type, size_type)
|
|
{ GMM_ASSERT1(false, "Sorry, to be done"); }
|
|
};
|
|
|
|
template<typename V> std::ostream &operator <<
|
|
(std::ostream &o, const row_matrix<V>& m) { gmm::write(o,m); return o; }
|
|
|
|
/* ******************************************************************** */
|
|
/* */
|
|
/* Column matrix */
|
|
/* */
|
|
/* ******************************************************************** */
|
|
|
|
template<typename V> class col_matrix {
|
|
protected :
|
|
std::vector<V> li; /* array of columns. */
|
|
size_type nr;
|
|
|
|
public :
|
|
|
|
typedef typename linalg_traits<V>::reference reference;
|
|
typedef typename linalg_traits<V>::value_type value_type;
|
|
|
|
col_matrix(size_type r, size_type c) : li(c, V(r)), nr(r) { }
|
|
col_matrix(void) : nr(0) {}
|
|
reference operator ()(size_type l, size_type c)
|
|
{ return li[c][l]; }
|
|
value_type operator ()(size_type l, size_type c) const
|
|
{ return li[c][l]; }
|
|
|
|
void clear_mat();
|
|
void resize(size_type, size_type);
|
|
|
|
V& col(size_type i) { return li[i]; }
|
|
const V& col(size_type i) const { return li[i]; }
|
|
V& operator[](size_type i) { return li[i]; }
|
|
const V& operator[](size_type i) const { return li[i]; }
|
|
|
|
typename std::vector<V>::iterator begin(void)
|
|
{ return li.begin(); }
|
|
typename std::vector<V>::iterator end(void)
|
|
{ return li.end(); }
|
|
typename std::vector<V>::const_iterator begin(void) const
|
|
{ return li.begin(); }
|
|
typename std::vector<V>::const_iterator end(void) const
|
|
{ return li.end(); }
|
|
|
|
inline size_type ncols(void) const { return li.size(); }
|
|
inline size_type nrows(void) const { return nr; }
|
|
|
|
void swap(col_matrix<V> &m) { std::swap(li, m.li); std::swap(nr, m.nr); }
|
|
void swap_col(size_type i, size_type j) { std::swap(li[i], li[j]); }
|
|
};
|
|
|
|
template<typename V> void col_matrix<V>::resize(size_type m, size_type n) {
|
|
size_type nc = std::min(ncols(), n);
|
|
li.resize(n);
|
|
for (size_type i=nc; i < n; ++i) gmm::resize(li[i], m);
|
|
if (m != nr) {
|
|
for (size_type i=0; i < nc; ++i) gmm::resize(li[i], m);
|
|
nr = m;
|
|
}
|
|
}
|
|
|
|
template<typename V> void col_matrix<V>::clear_mat()
|
|
{ for (size_type i=0; i < ncols(); ++i) clear(li[i]); }
|
|
|
|
template <typename V> struct linalg_traits<col_matrix<V> > {
|
|
typedef col_matrix<V> this_type;
|
|
typedef this_type origin_type;
|
|
typedef linalg_false is_reference;
|
|
typedef abstract_matrix linalg_type;
|
|
typedef typename linalg_traits<V>::value_type value_type;
|
|
typedef typename linalg_traits<V>::reference reference;
|
|
typedef typename linalg_traits<V>::storage_type storage_type;
|
|
typedef simple_vector_ref<V *> sub_col_type;
|
|
typedef simple_vector_ref<const V *> const_sub_col_type;
|
|
typedef typename std::vector<V>::iterator col_iterator;
|
|
typedef typename std::vector<V>::const_iterator const_col_iterator;
|
|
typedef abstract_null_type sub_row_type;
|
|
typedef abstract_null_type const_sub_row_type;
|
|
typedef abstract_null_type row_iterator;
|
|
typedef abstract_null_type const_row_iterator;
|
|
typedef col_major sub_orientation;
|
|
typedef linalg_true index_sorted;
|
|
static size_type nrows(const this_type &m) { return m.nrows(); }
|
|
static size_type ncols(const this_type &m) { return m.ncols(); }
|
|
static col_iterator col_begin(this_type &m) { return m.begin(); }
|
|
static col_iterator col_end(this_type &m) { return m.end(); }
|
|
static const_col_iterator col_begin(const this_type &m)
|
|
{ return m.begin(); }
|
|
static const_col_iterator col_end(const this_type &m)
|
|
{ return m.end(); }
|
|
static const_sub_col_type col(const const_col_iterator &it)
|
|
{ return const_sub_col_type(*it); }
|
|
static sub_col_type col(const col_iterator &it)
|
|
{ return sub_col_type(*it); }
|
|
static origin_type* origin(this_type &m) { return &m; }
|
|
static const origin_type* origin(const this_type &m) { return &m; }
|
|
static void do_clear(this_type &m) { m.clear_mat(); }
|
|
static value_type access(const const_col_iterator &itcol, size_type j)
|
|
{ return (*itcol)[j]; }
|
|
static reference access(const col_iterator &itcol, size_type j)
|
|
{ return (*itcol)[j]; }
|
|
static void resize(this_type &v, size_type m, size_type n)
|
|
{ v.resize(m,n); }
|
|
static void reshape(this_type &, size_type, size_type)
|
|
{ GMM_ASSERT1(false, "Sorry, to be done"); }
|
|
};
|
|
|
|
template<typename V> std::ostream &operator <<
|
|
(std::ostream &o, const col_matrix<V>& m) { gmm::write(o,m); return o; }
|
|
|
|
/* ******************************************************************** */
|
|
/* */
|
|
/* Dense matrix */
|
|
/* */
|
|
/* ******************************************************************** */
|
|
|
|
template<typename T> class dense_matrix : public std::vector<T> {
|
|
public:
|
|
typedef typename std::vector<T>::size_type size_type;
|
|
typedef typename std::vector<T>::iterator iterator;
|
|
typedef typename std::vector<T>::const_iterator const_iterator;
|
|
typedef typename std::vector<T>::reference reference;
|
|
typedef typename std::vector<T>::const_reference const_reference;
|
|
|
|
protected:
|
|
size_type nbc, nbl;
|
|
|
|
public:
|
|
|
|
inline const_reference operator ()(size_type l, size_type c) const {
|
|
GMM_ASSERT2(l < nbl && c < nbc, "out of range");
|
|
return *(this->begin() + c*nbl+l);
|
|
}
|
|
inline reference operator ()(size_type l, size_type c) {
|
|
GMM_ASSERT2(l < nbl && c < nbc, "out of range");
|
|
return *(this->begin() + c*nbl+l);
|
|
}
|
|
|
|
void resize(size_type, size_type);
|
|
void reshape(size_type, size_type);
|
|
|
|
void fill(T a, T b = T(0));
|
|
inline size_type nrows(void) const { return nbl; }
|
|
inline size_type ncols(void) const { return nbc; }
|
|
void swap(dense_matrix<T> &m)
|
|
{ std::vector<T>::swap(m); std::swap(nbc, m.nbc); std::swap(nbl, m.nbl); }
|
|
|
|
dense_matrix(size_type l, size_type c)
|
|
: std::vector<T>(c*l), nbc(c), nbl(l) {}
|
|
dense_matrix(void) { nbl = nbc = 0; }
|
|
};
|
|
|
|
template<typename T> void dense_matrix<T>::reshape(size_type m,size_type n) {
|
|
GMM_ASSERT2(n*m == nbl*nbc, "dimensions mismatch");
|
|
nbl = m; nbc = n;
|
|
}
|
|
|
|
template<typename T> void dense_matrix<T>::resize(size_type m, size_type n) {
|
|
if (n*m > nbc*nbl) std::vector<T>::resize(n*m);
|
|
if (m < nbl) {
|
|
for (size_type i = 1; i < std::min(nbc, n); ++i)
|
|
std::copy(this->begin()+i*nbl, this->begin()+(i*nbl+m),
|
|
this->begin()+i*m);
|
|
for (size_type i = std::min(nbc, n); i < n; ++i)
|
|
std::fill(this->begin()+(i*m), this->begin()+(i+1)*m, T(0));
|
|
}
|
|
else if (m > nbl) { /* do nothing when the nb of rows does not change */
|
|
for (size_type i = std::min(nbc, n); i > 1; --i)
|
|
std::copy(this->begin()+(i-1)*nbl, this->begin()+i*nbl,
|
|
this->begin()+(i-1)*m);
|
|
for (size_type i = 0; i < std::min(nbc, n); ++i)
|
|
std::fill(this->begin()+(i*m+nbl), this->begin()+(i+1)*m, T(0));
|
|
}
|
|
if (n*m < nbc*nbl) std::vector<T>::resize(n*m);
|
|
nbl = m; nbc = n;
|
|
}
|
|
|
|
template<typename T> void dense_matrix<T>::fill(T a, T b) {
|
|
std::fill(this->begin(), this->end(), b);
|
|
size_type n = std::min(nbl, nbc);
|
|
if (a != b) for (size_type i = 0; i < n; ++i) (*this)(i,i) = a;
|
|
}
|
|
|
|
template <typename T> struct linalg_traits<dense_matrix<T> > {
|
|
typedef dense_matrix<T> this_type;
|
|
typedef this_type origin_type;
|
|
typedef linalg_false is_reference;
|
|
typedef abstract_matrix linalg_type;
|
|
typedef T value_type;
|
|
typedef T& reference;
|
|
typedef abstract_dense storage_type;
|
|
typedef tab_ref_reg_spaced_with_origin<typename this_type::iterator,
|
|
this_type> sub_row_type;
|
|
typedef tab_ref_reg_spaced_with_origin<typename this_type::const_iterator,
|
|
this_type> const_sub_row_type;
|
|
typedef dense_compressed_iterator<typename this_type::iterator,
|
|
typename this_type::iterator,
|
|
this_type *> row_iterator;
|
|
typedef dense_compressed_iterator<typename this_type::const_iterator,
|
|
typename this_type::iterator,
|
|
const this_type *> const_row_iterator;
|
|
typedef tab_ref_with_origin<typename this_type::iterator,
|
|
this_type> sub_col_type;
|
|
typedef tab_ref_with_origin<typename this_type::const_iterator,
|
|
this_type> const_sub_col_type;
|
|
typedef dense_compressed_iterator<typename this_type::iterator,
|
|
typename this_type::iterator,
|
|
this_type *> col_iterator;
|
|
typedef dense_compressed_iterator<typename this_type::const_iterator,
|
|
typename this_type::iterator,
|
|
const this_type *> const_col_iterator;
|
|
typedef col_and_row sub_orientation;
|
|
typedef linalg_true index_sorted;
|
|
static size_type nrows(const this_type &m) { return m.nrows(); }
|
|
static size_type ncols(const this_type &m) { return m.ncols(); }
|
|
static const_sub_row_type row(const const_row_iterator &it)
|
|
{ return const_sub_row_type(*it, it.nrows, it.ncols, it.origin); }
|
|
static const_sub_col_type col(const const_col_iterator &it)
|
|
{ return const_sub_col_type(*it, *it + it.nrows, it.origin); }
|
|
static sub_row_type row(const row_iterator &it)
|
|
{ return sub_row_type(*it, it.nrows, it.ncols, it.origin); }
|
|
static sub_col_type col(const col_iterator &it)
|
|
{ return sub_col_type(*it, *it + it.nrows, it.origin); }
|
|
static row_iterator row_begin(this_type &m)
|
|
{ return row_iterator(m.begin(), m.size() ? 1 : 0, m.nrows(), m.ncols(), 0, &m); }
|
|
static row_iterator row_end(this_type &m)
|
|
{ return row_iterator(m.begin(), m.size() ? 1 : 0, m.nrows(), m.ncols(), m.nrows(), &m); }
|
|
static const_row_iterator row_begin(const this_type &m)
|
|
{ return const_row_iterator(m.begin(), m.size() ? 1 : 0, m.nrows(), m.ncols(), 0, &m); }
|
|
static const_row_iterator row_end(const this_type &m)
|
|
{ return const_row_iterator(m.begin(), m.size() ? 1 : 0, m.nrows(), m.ncols(), m.nrows(), &m); }
|
|
static col_iterator col_begin(this_type &m)
|
|
{ return col_iterator(m.begin(), m.nrows(), m.nrows(), m.ncols(), 0, &m); }
|
|
static col_iterator col_end(this_type &m)
|
|
{ return col_iterator(m.begin(), m.nrows(), m.nrows(), m.ncols(), m.ncols(), &m); }
|
|
static const_col_iterator col_begin(const this_type &m)
|
|
{ return const_col_iterator(m.begin(), m.nrows(), m.nrows(), m.ncols(), 0, &m); }
|
|
static const_col_iterator col_end(const this_type &m)
|
|
{ return const_col_iterator(m.begin(),m.nrows(),m.nrows(),m.ncols(),m.ncols(), &m); }
|
|
static origin_type* origin(this_type &m) { return &m; }
|
|
static const origin_type* origin(const this_type &m) { return &m; }
|
|
static void do_clear(this_type &m) { m.fill(value_type(0)); }
|
|
static value_type access(const const_col_iterator &itcol, size_type j)
|
|
{ return (*itcol)[j]; }
|
|
static reference access(const col_iterator &itcol, size_type j)
|
|
{ return (*itcol)[j]; }
|
|
static void resize(this_type &v, size_type m, size_type n)
|
|
{ v.resize(m,n); }
|
|
static void reshape(this_type &v, size_type m, size_type n)
|
|
{ v.reshape(m, n); }
|
|
};
|
|
|
|
template<typename T> std::ostream &operator <<
|
|
(std::ostream &o, const dense_matrix<T>& m) { gmm::write(o,m); return o; }
|
|
|
|
|
|
/* ******************************************************************** */
|
|
/* */
|
|
/* Read only compressed sparse column matrix */
|
|
/* */
|
|
/* ******************************************************************** */
|
|
|
|
template <typename T, int shift = 0>
|
|
struct csc_matrix {
|
|
typedef unsigned int IND_TYPE;
|
|
|
|
std::vector<T> pr;
|
|
std::vector<IND_TYPE> ir;
|
|
std::vector<IND_TYPE> jc;
|
|
size_type nc, nr;
|
|
|
|
typedef T value_type;
|
|
typedef T& access_type;
|
|
|
|
template <typename Matrix> void init_with_good_format(const Matrix &B);
|
|
template <typename Matrix> void init_with(const Matrix &A);
|
|
void init_with(const col_matrix<gmm::rsvector<T> > &B)
|
|
{ init_with_good_format(B); }
|
|
void init_with(const col_matrix<wsvector<T> > &B)
|
|
{ init_with_good_format(B); }
|
|
template <typename PT1, typename PT2, typename PT3, int cshift>
|
|
void init_with(const csc_matrix_ref<PT1,PT2,PT3,cshift>& B)
|
|
{ init_with_good_format(B); }
|
|
template <typename U, int cshift>
|
|
void init_with(const csc_matrix<U, cshift>& B)
|
|
{ init_with_good_format(B); }
|
|
|
|
void init_with_identity(size_type n);
|
|
|
|
csc_matrix(void) : nc(0), nr(0) {}
|
|
csc_matrix(size_type nnr, size_type nnc);
|
|
|
|
size_type nrows(void) const { return nr; }
|
|
size_type ncols(void) const { return nc; }
|
|
void swap(csc_matrix<T, shift> &m) {
|
|
std::swap(pr, m.pr);
|
|
std::swap(ir, m.ir); std::swap(jc, m.jc);
|
|
std::swap(nc, m.nc); std::swap(nr, m.nr);
|
|
}
|
|
value_type operator()(size_type i, size_type j) const
|
|
{ return mat_col(*this, j)[i]; }
|
|
};
|
|
|
|
template <typename T, int shift> template<typename Matrix>
|
|
void csc_matrix<T, shift>::init_with_good_format(const Matrix &B) {
|
|
typedef typename linalg_traits<Matrix>::const_sub_col_type col_type;
|
|
nc = mat_ncols(B); nr = mat_nrows(B);
|
|
jc.resize(nc+1);
|
|
jc[0] = shift;
|
|
for (size_type j = 0; j < nc; ++j) {
|
|
jc[j+1] = IND_TYPE(jc[j] + nnz(mat_const_col(B, j)));
|
|
}
|
|
pr.resize(jc[nc]);
|
|
ir.resize(jc[nc]);
|
|
for (size_type j = 0; j < nc; ++j) {
|
|
col_type col = mat_const_col(B, j);
|
|
typename linalg_traits<col_type>::const_iterator
|
|
it = vect_const_begin(col), ite = vect_const_end(col);
|
|
for (size_type k = 0; it != ite; ++it, ++k) {
|
|
pr[jc[j]-shift+k] = *it;
|
|
ir[jc[j]-shift+k] = IND_TYPE(it.index() + shift);
|
|
}
|
|
}
|
|
}
|
|
|
|
template <typename T, int shift> template <typename Matrix>
|
|
void csc_matrix<T, shift>::init_with(const Matrix &A) {
|
|
col_matrix<wsvector<T> > B(mat_nrows(A), mat_ncols(A));
|
|
copy(A, B);
|
|
init_with_good_format(B);
|
|
}
|
|
|
|
template <typename T, int shift>
|
|
void csc_matrix<T, shift>::init_with_identity(size_type n) {
|
|
nc = nr = n;
|
|
pr.resize(nc); ir.resize(nc); jc.resize(nc+1);
|
|
for (size_type j = 0; j < nc; ++j)
|
|
{ ir[j] = jc[j] = shift + j; pr[j] = T(1); }
|
|
jc[nc] = shift + nc;
|
|
}
|
|
|
|
template <typename T, int shift>
|
|
csc_matrix<T, shift>::csc_matrix(size_type nnr, size_type nnc)
|
|
: nc(nnc), nr(nnr) {
|
|
pr.resize(1); ir.resize(1); jc.resize(nc+1);
|
|
for (size_type j = 0; j <= nc; ++j) jc[j] = shift;
|
|
}
|
|
|
|
template <typename T, int shift>
|
|
struct linalg_traits<csc_matrix<T, shift> > {
|
|
typedef csc_matrix<T, shift> this_type;
|
|
typedef typename this_type::IND_TYPE IND_TYPE;
|
|
typedef linalg_const is_reference;
|
|
typedef abstract_matrix linalg_type;
|
|
typedef T value_type;
|
|
typedef T origin_type;
|
|
typedef T reference;
|
|
typedef abstract_sparse storage_type;
|
|
typedef abstract_null_type sub_row_type;
|
|
typedef abstract_null_type const_sub_row_type;
|
|
typedef abstract_null_type row_iterator;
|
|
typedef abstract_null_type const_row_iterator;
|
|
typedef abstract_null_type sub_col_type;
|
|
typedef cs_vector_ref<const T *, const IND_TYPE *, shift>
|
|
const_sub_col_type;
|
|
typedef sparse_compressed_iterator<const T *, const IND_TYPE *,
|
|
const IND_TYPE *, shift>
|
|
const_col_iterator;
|
|
typedef abstract_null_type col_iterator;
|
|
typedef col_major sub_orientation;
|
|
typedef linalg_true index_sorted;
|
|
static size_type nrows(const this_type &m) { return m.nrows(); }
|
|
static size_type ncols(const this_type &m) { return m.ncols(); }
|
|
static const_col_iterator col_begin(const this_type &m)
|
|
{ return const_col_iterator(&m.pr[0],&m.ir[0],&m.jc[0], m.nr, &m.pr[0]); }
|
|
static const_col_iterator col_end(const this_type &m) {
|
|
return const_col_iterator(&m.pr[0],&m.ir[0],&m.jc[0]+m.nc,
|
|
m.nr,&m.pr[0]);
|
|
}
|
|
static const_sub_col_type col(const const_col_iterator &it) {
|
|
return const_sub_col_type(it.pr + *(it.jc) - shift,
|
|
it.ir + *(it.jc) - shift,
|
|
*(it.jc + 1) - *(it.jc), it.n);
|
|
}
|
|
static const origin_type* origin(const this_type &m) { return &m.pr[0]; }
|
|
static void do_clear(this_type &m) { m.do_clear(); }
|
|
static value_type access(const const_col_iterator &itcol, size_type j)
|
|
{ return col(itcol)[j]; }
|
|
};
|
|
|
|
template <typename T, int shift>
|
|
std::ostream &operator <<
|
|
(std::ostream &o, const csc_matrix<T, shift>& m)
|
|
{ gmm::write(o,m); return o; }
|
|
|
|
template <typename T, int shift>
|
|
inline void copy(const identity_matrix &, csc_matrix<T, shift>& M)
|
|
{ M.init_with_identity(mat_nrows(M)); }
|
|
|
|
template <typename Matrix, typename T, int shift>
|
|
inline void copy(const Matrix &A, csc_matrix<T, shift>& M)
|
|
{ M.init_with(A); }
|
|
|
|
/* ******************************************************************** */
|
|
/* */
|
|
/* Read only compressed sparse row matrix */
|
|
/* */
|
|
/* ******************************************************************** */
|
|
|
|
template <typename T, int shift = 0>
|
|
struct csr_matrix {
|
|
|
|
typedef unsigned int IND_TYPE;
|
|
|
|
std::vector<T> pr; // values.
|
|
std::vector<IND_TYPE> ir; // col indices.
|
|
std::vector<IND_TYPE> jc; // row repartition on pr and ir.
|
|
size_type nc, nr;
|
|
|
|
typedef T value_type;
|
|
typedef T& access_type;
|
|
|
|
|
|
template <typename Matrix> void init_with_good_format(const Matrix &B);
|
|
void init_with(const row_matrix<wsvector<T> > &B)
|
|
{ init_with_good_format(B); }
|
|
void init_with(const row_matrix<rsvector<T> > &B)
|
|
{ init_with_good_format(B); }
|
|
template <typename PT1, typename PT2, typename PT3, int cshift>
|
|
void init_with(const csr_matrix_ref<PT1,PT2,PT3,cshift>& B)
|
|
{ init_with_good_format(B); }
|
|
template <typename U, int cshift>
|
|
void init_with(const csr_matrix<U, cshift>& B)
|
|
{ init_with_good_format(B); }
|
|
|
|
template <typename Matrix> void init_with(const Matrix &A);
|
|
void init_with_identity(size_type n);
|
|
|
|
csr_matrix(void) : nc(0), nr(0) {}
|
|
csr_matrix(size_type nnr, size_type nnc);
|
|
|
|
size_type nrows(void) const { return nr; }
|
|
size_type ncols(void) const { return nc; }
|
|
void swap(csr_matrix<T, shift> &m) {
|
|
std::swap(pr, m.pr);
|
|
std::swap(ir,m.ir); std::swap(jc, m.jc);
|
|
std::swap(nc, m.nc); std::swap(nr,m.nr);
|
|
}
|
|
|
|
value_type operator()(size_type i, size_type j) const
|
|
{ return mat_row(*this, i)[j]; }
|
|
};
|
|
|
|
template <typename T, int shift> template <typename Matrix>
|
|
void csr_matrix<T, shift>::init_with_good_format(const Matrix &B) {
|
|
typedef typename linalg_traits<Matrix>::const_sub_row_type row_type;
|
|
nc = mat_ncols(B); nr = mat_nrows(B);
|
|
jc.resize(nr+1);
|
|
jc[0] = shift;
|
|
for (size_type j = 0; j < nr; ++j) {
|
|
jc[j+1] = IND_TYPE(jc[j] + nnz(mat_const_row(B, j)));
|
|
}
|
|
pr.resize(jc[nr]);
|
|
ir.resize(jc[nr]);
|
|
for (size_type j = 0; j < nr; ++j) {
|
|
row_type row = mat_const_row(B, j);
|
|
typename linalg_traits<row_type>::const_iterator
|
|
it = vect_const_begin(row), ite = vect_const_end(row);
|
|
for (size_type k = 0; it != ite; ++it, ++k) {
|
|
pr[jc[j]-shift+k] = *it;
|
|
ir[jc[j]-shift+k] = IND_TYPE(it.index()+shift);
|
|
}
|
|
}
|
|
}
|
|
|
|
template <typename T, int shift> template <typename Matrix>
|
|
void csr_matrix<T, shift>::init_with(const Matrix &A) {
|
|
row_matrix<wsvector<T> > B(mat_nrows(A), mat_ncols(A));
|
|
copy(A, B);
|
|
init_with_good_format(B);
|
|
}
|
|
|
|
template <typename T, int shift>
|
|
void csr_matrix<T, shift>::init_with_identity(size_type n) {
|
|
nc = nr = n;
|
|
pr.resize(nr); ir.resize(nr); jc.resize(nr+1);
|
|
for (size_type j = 0; j < nr; ++j)
|
|
{ ir[j] = jc[j] = shift + j; pr[j] = T(1); }
|
|
jc[nr] = shift + nr;
|
|
}
|
|
|
|
template <typename T, int shift>
|
|
csr_matrix<T, shift>::csr_matrix(size_type nnr, size_type nnc)
|
|
: nc(nnc), nr(nnr) {
|
|
pr.resize(1); ir.resize(1); jc.resize(nr+1);
|
|
for (size_type j = 0; j < nr; ++j) jc[j] = shift;
|
|
jc[nr] = shift;
|
|
}
|
|
|
|
|
|
template <typename T, int shift>
|
|
struct linalg_traits<csr_matrix<T, shift> > {
|
|
typedef csr_matrix<T, shift> this_type;
|
|
typedef typename this_type::IND_TYPE IND_TYPE;
|
|
typedef linalg_const is_reference;
|
|
typedef abstract_matrix linalg_type;
|
|
typedef T value_type;
|
|
typedef T origin_type;
|
|
typedef T reference;
|
|
typedef abstract_sparse storage_type;
|
|
typedef abstract_null_type sub_col_type;
|
|
typedef abstract_null_type const_sub_col_type;
|
|
typedef abstract_null_type col_iterator;
|
|
typedef abstract_null_type const_col_iterator;
|
|
typedef abstract_null_type sub_row_type;
|
|
typedef cs_vector_ref<const T *, const IND_TYPE *, shift>
|
|
const_sub_row_type;
|
|
typedef sparse_compressed_iterator<const T *, const IND_TYPE *,
|
|
const IND_TYPE *, shift>
|
|
const_row_iterator;
|
|
typedef abstract_null_type row_iterator;
|
|
typedef row_major sub_orientation;
|
|
typedef linalg_true index_sorted;
|
|
static size_type nrows(const this_type &m) { return m.nrows(); }
|
|
static size_type ncols(const this_type &m) { return m.ncols(); }
|
|
static const_row_iterator row_begin(const this_type &m)
|
|
{ return const_row_iterator(&m.pr[0], &m.ir[0], &m.jc[0], m.nc, &m.pr[0]); }
|
|
static const_row_iterator row_end(const this_type &m)
|
|
{ return const_row_iterator(&m.pr[0], &m.ir[0], &m.jc[0] + m.nr, m.nc, &m.pr[0]); }
|
|
static const_sub_row_type row(const const_row_iterator &it) {
|
|
return const_sub_row_type(it.pr + *(it.jc) - shift,
|
|
it.ir + *(it.jc) - shift,
|
|
*(it.jc + 1) - *(it.jc), it.n);
|
|
}
|
|
static const origin_type* origin(const this_type &m) { return &m.pr[0]; }
|
|
static void do_clear(this_type &m) { m.do_clear(); }
|
|
static value_type access(const const_row_iterator &itrow, size_type j)
|
|
{ return row(itrow)[j]; }
|
|
};
|
|
|
|
template <typename T, int shift>
|
|
std::ostream &operator <<
|
|
(std::ostream &o, const csr_matrix<T, shift>& m)
|
|
{ gmm::write(o,m); return o; }
|
|
|
|
template <typename T, int shift>
|
|
inline void copy(const identity_matrix &, csr_matrix<T, shift>& M)
|
|
{ M.init_with_identity(mat_nrows(M)); }
|
|
|
|
template <typename Matrix, typename T, int shift>
|
|
inline void copy(const Matrix &A, csr_matrix<T, shift>& M)
|
|
{ M.init_with(A); }
|
|
|
|
/* ******************************************************************** */
|
|
/* */
|
|
/* Block matrix */
|
|
/* */
|
|
/* ******************************************************************** */
|
|
|
|
template <typename MAT> class block_matrix {
|
|
protected :
|
|
std::vector<MAT> blocks;
|
|
size_type nrowblocks_;
|
|
size_type ncolblocks_;
|
|
std::vector<sub_interval> introw, intcol;
|
|
|
|
public :
|
|
typedef typename linalg_traits<MAT>::value_type value_type;
|
|
typedef typename linalg_traits<MAT>::reference reference;
|
|
|
|
size_type nrows(void) const { return introw[nrowblocks_-1].max; }
|
|
size_type ncols(void) const { return intcol[ncolblocks_-1].max; }
|
|
size_type nrowblocks(void) const { return nrowblocks_; }
|
|
size_type ncolblocks(void) const { return ncolblocks_; }
|
|
const sub_interval &subrowinterval(size_type i) const { return introw[i]; }
|
|
const sub_interval &subcolinterval(size_type i) const { return intcol[i]; }
|
|
const MAT &block(size_type i, size_type j) const
|
|
{ return blocks[j*ncolblocks_+i]; }
|
|
MAT &block(size_type i, size_type j)
|
|
{ return blocks[j*ncolblocks_+i]; }
|
|
void do_clear(void);
|
|
// to be done : read and write access to a component
|
|
value_type operator() (size_type i, size_type j) const {
|
|
size_type k, l;
|
|
for (k = 0; k < nrowblocks_; ++k)
|
|
if (i >= introw[k].min && i < introw[k].max) break;
|
|
for (l = 0; l < nrowblocks_; ++l)
|
|
if (j >= introw[l].min && j < introw[l].max) break;
|
|
return (block(k, l))(i - introw[k].min, j - introw[l].min);
|
|
}
|
|
reference operator() (size_type i, size_type j) {
|
|
size_type k, l;
|
|
for (k = 0; k < nrowblocks_; ++k)
|
|
if (i >= introw[k].min && i < introw[k].max) break;
|
|
for (l = 0; l < nrowblocks_; ++l)
|
|
if (j >= introw[l].min && j < introw[l].max) break;
|
|
return (block(k, l))(i - introw[k].min, j - introw[l].min);
|
|
}
|
|
|
|
template <typename CONT> void resize(const CONT &c1, const CONT &c2);
|
|
template <typename CONT> block_matrix(const CONT &c1, const CONT &c2)
|
|
{ resize(c1, c2); }
|
|
block_matrix(void) {}
|
|
|
|
};
|
|
|
|
template <typename MAT> struct linalg_traits<block_matrix<MAT> > {
|
|
typedef block_matrix<MAT> this_type;
|
|
typedef linalg_false is_reference;
|
|
typedef abstract_matrix linalg_type;
|
|
typedef this_type origin_type;
|
|
typedef typename linalg_traits<MAT>::value_type value_type;
|
|
typedef typename linalg_traits<MAT>::reference reference;
|
|
typedef typename linalg_traits<MAT>::storage_type storage_type;
|
|
typedef abstract_null_type sub_row_type; // to be done ...
|
|
typedef abstract_null_type const_sub_row_type; // to be done ...
|
|
typedef abstract_null_type row_iterator; // to be done ...
|
|
typedef abstract_null_type const_row_iterator; // to be done ...
|
|
typedef abstract_null_type sub_col_type; // to be done ...
|
|
typedef abstract_null_type const_sub_col_type; // to be done ...
|
|
typedef abstract_null_type col_iterator; // to be done ...
|
|
typedef abstract_null_type const_col_iterator; // to be done ...
|
|
typedef abstract_null_type sub_orientation; // to be done ...
|
|
typedef linalg_true index_sorted;
|
|
static size_type nrows(const this_type &m) { return m.nrows(); }
|
|
static size_type ncols(const this_type &m) { return m.ncols(); }
|
|
static origin_type* origin(this_type &m) { return &m; }
|
|
static const origin_type* origin(const this_type &m) { return &m; }
|
|
static void do_clear(this_type &m) { m.do_clear(); }
|
|
// access to be done ...
|
|
static void resize(this_type &, size_type , size_type)
|
|
{ GMM_ASSERT1(false, "Sorry, to be done"); }
|
|
static void reshape(this_type &, size_type , size_type)
|
|
{ GMM_ASSERT1(false, "Sorry, to be done"); }
|
|
};
|
|
|
|
template <typename MAT> void block_matrix<MAT>::do_clear(void) {
|
|
for (size_type j = 0, l = 0; j < ncolblocks_; ++j)
|
|
for (size_type i = 0, k = 0; i < nrowblocks_; ++i)
|
|
clear(block(i,j));
|
|
}
|
|
|
|
template <typename MAT> template <typename CONT>
|
|
void block_matrix<MAT>::resize(const CONT &c1, const CONT &c2) {
|
|
nrowblocks_ = c1.size(); ncolblocks_ = c2.size();
|
|
blocks.resize(nrowblocks_ * ncolblocks_);
|
|
intcol.resize(ncolblocks_);
|
|
introw.resize(nrowblocks_);
|
|
for (size_type j = 0, l = 0; j < ncolblocks_; ++j) {
|
|
intcol[j] = sub_interval(l, c2[j]); l += c2[j];
|
|
for (size_type i = 0, k = 0; i < nrowblocks_; ++i) {
|
|
if (j == 0) { introw[i] = sub_interval(k, c1[i]); k += c1[i]; }
|
|
block(i, j) = MAT(c1[i], c2[j]);
|
|
}
|
|
}
|
|
}
|
|
|
|
template <typename M1, typename M2>
|
|
void copy(const block_matrix<M1> &m1, M2 &m2) {
|
|
for (size_type j = 0; j < m1.ncolblocks(); ++j)
|
|
for (size_type i = 0; i < m1.nrowblocks(); ++i)
|
|
copy(m1.block(i,j), sub_matrix(m2, m1.subrowinterval(i),
|
|
m1.subcolinterval(j)));
|
|
}
|
|
|
|
template <typename M1, typename M2>
|
|
void copy(const block_matrix<M1> &m1, const M2 &m2)
|
|
{ copy(m1, linalg_const_cast(m2)); }
|
|
|
|
|
|
template <typename MAT, typename V1, typename V2>
|
|
void mult(const block_matrix<MAT> &m, const V1 &v1, V2 &v2) {
|
|
clear(v2);
|
|
typename sub_vector_type<V2 *, sub_interval>::vector_type sv;
|
|
for (size_type i = 0; i < m.nrowblocks() ; ++i)
|
|
for (size_type j = 0; j < m.ncolblocks() ; ++j) {
|
|
sv = sub_vector(v2, m.subrowinterval(i));
|
|
mult(m.block(i,j),
|
|
sub_vector(v1, m.subcolinterval(j)), sv, sv);
|
|
}
|
|
}
|
|
|
|
template <typename MAT, typename V1, typename V2, typename V3>
|
|
void mult(const block_matrix<MAT> &m, const V1 &v1, const V2 &v2, V3 &v3) {
|
|
typename sub_vector_type<V3 *, sub_interval>::vector_type sv;
|
|
for (size_type i = 0; i < m.nrowblocks() ; ++i)
|
|
for (size_type j = 0; j < m.ncolblocks() ; ++j) {
|
|
sv = sub_vector(v3, m.subrowinterval(i));
|
|
if (j == 0)
|
|
mult(m.block(i,j),
|
|
sub_vector(v1, m.subcolinterval(j)),
|
|
sub_vector(v2, m.subrowinterval(i)), sv);
|
|
else
|
|
mult(m.block(i,j),
|
|
sub_vector(v1, m.subcolinterval(j)), sv, sv);
|
|
}
|
|
|
|
}
|
|
|
|
template <typename MAT, typename V1, typename V2>
|
|
void mult(const block_matrix<MAT> &m, const V1 &v1, const V2 &v2)
|
|
{ mult(m, v1, linalg_const_cast(v2)); }
|
|
|
|
template <typename MAT, typename V1, typename V2, typename V3>
|
|
void mult(const block_matrix<MAT> &m, const V1 &v1, const V2 &v2,
|
|
const V3 &v3)
|
|
{ mult_const(m, v1, v2, linalg_const_cast(v3)); }
|
|
|
|
}
|
|
/* ******************************************************************** */
|
|
/* */
|
|
/* Distributed matrices */
|
|
/* */
|
|
/* ******************************************************************** */
|
|
|
|
#ifdef GMM_USES_MPI
|
|
|
|
// Problem : GETFEM_HAVE_MPI_H not defined in gmm : NOT SATIFACTORY !!
|
|
#include<getfem/getfem_arch_config.h>
|
|
|
|
# if defined(GETFEM_HAVE_MPI_H)
|
|
# include <mpi.h>
|
|
# elif defined(GETFEM_HAVE_MPI_MPI_H)
|
|
# include <mpi/mpi.h>
|
|
# elif defined(GETFEM_HAVE_MPICH2_MPI_H)
|
|
# include <mpich2/mpi.h>
|
|
# endif
|
|
|
|
namespace gmm {
|
|
|
|
|
|
|
|
template <typename T> inline MPI_Datatype mpi_type(T)
|
|
{ GMM_ASSERT1(false, "Sorry unsupported type"); return MPI_FLOAT; }
|
|
inline MPI_Datatype mpi_type(double) { return MPI_DOUBLE; }
|
|
inline MPI_Datatype mpi_type(float) { return MPI_FLOAT; }
|
|
inline MPI_Datatype mpi_type(long double) { return MPI_LONG_DOUBLE; }
|
|
#ifndef LAM_MPI
|
|
inline MPI_Datatype mpi_type(std::complex<float>) { return MPI_COMPLEX; }
|
|
inline MPI_Datatype mpi_type(std::complex<double>) { return MPI_DOUBLE_COMPLEX; }
|
|
#endif
|
|
inline MPI_Datatype mpi_type(int) { return MPI_INT; }
|
|
inline MPI_Datatype mpi_type(unsigned int) { return MPI_UNSIGNED; }
|
|
inline MPI_Datatype mpi_type(long) { return MPI_LONG; }
|
|
inline MPI_Datatype mpi_type(unsigned long) { return MPI_UNSIGNED_LONG; }
|
|
|
|
template <typename MAT> struct mpi_distributed_matrix {
|
|
MAT M;
|
|
|
|
mpi_distributed_matrix(size_type n, size_type m) : M(n, m) {}
|
|
mpi_distributed_matrix() {}
|
|
|
|
const MAT &local_matrix(void) const { return M; }
|
|
MAT &local_matrix(void) { return M; }
|
|
};
|
|
|
|
template <typename MAT> inline MAT &eff_matrix(MAT &m) { return m; }
|
|
template <typename MAT> inline
|
|
const MAT &eff_matrix(const MAT &m) { return m; }
|
|
template <typename MAT> inline
|
|
MAT &eff_matrix(mpi_distributed_matrix<MAT> &m) { return m.M; }
|
|
template <typename MAT> inline
|
|
const MAT &eff_matrix(const mpi_distributed_matrix<MAT> &m) { return m.M; }
|
|
|
|
|
|
template <typename MAT1, typename MAT2>
|
|
inline void copy(const mpi_distributed_matrix<MAT1> &m1,
|
|
mpi_distributed_matrix<MAT2> &m2)
|
|
{ copy(eff_matrix(m1), eff_matrix(m2)); }
|
|
template <typename MAT1, typename MAT2>
|
|
inline void copy(const mpi_distributed_matrix<MAT1> &m1,
|
|
const mpi_distributed_matrix<MAT2> &m2)
|
|
{ copy(m1.M, m2.M); }
|
|
|
|
template <typename MAT1, typename MAT2>
|
|
inline void copy(const mpi_distributed_matrix<MAT1> &m1, MAT2 &m2)
|
|
{ copy(m1.M, m2); }
|
|
template <typename MAT1, typename MAT2>
|
|
inline void copy(const mpi_distributed_matrix<MAT1> &m1, const MAT2 &m2)
|
|
{ copy(m1.M, m2); }
|
|
|
|
|
|
template <typename MATSP, typename V1, typename V2> inline
|
|
typename strongest_value_type3<V1,V2,MATSP>::value_type
|
|
vect_sp(const mpi_distributed_matrix<MATSP> &ps, const V1 &v1,
|
|
const V2 &v2) {
|
|
typedef typename strongest_value_type3<V1,V2,MATSP>::value_type T;
|
|
T res = vect_sp(ps.M, v1, v2), rest;
|
|
MPI_Allreduce(&res, &rest, 1, mpi_type(T()), MPI_SUM,MPI_COMM_WORLD);
|
|
return rest;
|
|
}
|
|
|
|
template <typename MAT, typename V1, typename V2>
|
|
inline void mult_add(const mpi_distributed_matrix<MAT> &m, const V1 &v1,
|
|
V2 &v2) {
|
|
typedef typename linalg_traits<V2>::value_type T;
|
|
std::vector<T> v3(vect_size(v2)), v4(vect_size(v2));
|
|
static double tmult_tot = 0.0;
|
|
static double tmult_tot2 = 0.0;
|
|
double t_ref = MPI_Wtime();
|
|
gmm::mult(m.M, v1, v3);
|
|
if (is_sparse(v2)) GMM_WARNING2("Using a plain temporary, here.");
|
|
double t_ref2 = MPI_Wtime();
|
|
MPI_Allreduce(&(v3[0]), &(v4[0]),gmm::vect_size(v2), mpi_type(T()),
|
|
MPI_SUM,MPI_COMM_WORLD);
|
|
tmult_tot2 = MPI_Wtime()-t_ref2;
|
|
cout << "reduce mult mpi = " << tmult_tot2 << endl;
|
|
gmm::add(v4, v2);
|
|
tmult_tot = MPI_Wtime()-t_ref;
|
|
cout << "tmult mpi = " << tmult_tot << endl;
|
|
}
|
|
|
|
template <typename MAT, typename V1, typename V2>
|
|
void mult_add(const mpi_distributed_matrix<MAT> &m, const V1 &v1,
|
|
const V2 &v2_)
|
|
{ mult_add(m, v1, const_cast<V2 &>(v2_)); }
|
|
|
|
template <typename MAT, typename V1, typename V2>
|
|
inline void mult(const mpi_distributed_matrix<MAT> &m, const V1 &v1,
|
|
const V2 &v2_)
|
|
{ V2 &v2 = const_cast<V2 &>(v2_); clear(v2); mult_add(m, v1, v2); }
|
|
|
|
template <typename MAT, typename V1, typename V2>
|
|
inline void mult(const mpi_distributed_matrix<MAT> &m, const V1 &v1,
|
|
V2 &v2)
|
|
{ clear(v2); mult_add(m, v1, v2); }
|
|
|
|
template <typename MAT, typename V1, typename V2, typename V3>
|
|
inline void mult(const mpi_distributed_matrix<MAT> &m, const V1 &v1,
|
|
const V2 &v2, const V3 &v3_)
|
|
{ V3 &v3 = const_cast<V3 &>(v3_); gmm::copy(v2, v3); mult_add(m, v1, v3); }
|
|
|
|
template <typename MAT, typename V1, typename V2, typename V3>
|
|
inline void mult(const mpi_distributed_matrix<MAT> &m, const V1 &v1,
|
|
const V2 &v2, V3 &v3)
|
|
{ gmm::copy(v2, v3); mult_add(m, v1, v3); }
|
|
|
|
|
|
template <typename MAT> inline
|
|
size_type mat_nrows(const mpi_distributed_matrix<MAT> &M)
|
|
{ return mat_nrows(M.M); }
|
|
template <typename MAT> inline
|
|
size_type mat_ncols(const mpi_distributed_matrix<MAT> &M)
|
|
{ return mat_nrows(M.M); }
|
|
template <typename MAT> inline
|
|
void resize(mpi_distributed_matrix<MAT> &M, size_type m, size_type n)
|
|
{ resize(M.M, m, n); }
|
|
template <typename MAT> inline void clear(mpi_distributed_matrix<MAT> &M)
|
|
{ clear(M.M); }
|
|
|
|
|
|
// For compute reduced system
|
|
template <typename MAT1, typename MAT2> inline
|
|
void mult(const MAT1 &M1, const mpi_distributed_matrix<MAT2> &M2,
|
|
mpi_distributed_matrix<MAT2> &M3)
|
|
{ mult(M1, M2.M, M3.M); }
|
|
template <typename MAT1, typename MAT2> inline
|
|
void mult(const mpi_distributed_matrix<MAT2> &M2,
|
|
const MAT1 &M1, mpi_distributed_matrix<MAT2> &M3)
|
|
{ mult(M2.M, M1, M3.M); }
|
|
template <typename MAT1, typename MAT2, typename MAT3> inline
|
|
void mult(const MAT1 &M1, const mpi_distributed_matrix<MAT2> &M2,
|
|
MAT3 &M3)
|
|
{ mult(M1, M2.M, M3); }
|
|
template <typename MAT1, typename MAT2, typename MAT3> inline
|
|
void mult(const MAT1 &M1, const mpi_distributed_matrix<MAT2> &M2,
|
|
const MAT3 &M3)
|
|
{ mult(M1, M2.M, M3); }
|
|
|
|
template <typename M, typename SUBI1, typename SUBI2>
|
|
struct sub_matrix_type<const mpi_distributed_matrix<M> *, SUBI1, SUBI2>
|
|
{ typedef abstract_null_type matrix_type; };
|
|
|
|
template <typename M, typename SUBI1, typename SUBI2>
|
|
struct sub_matrix_type<mpi_distributed_matrix<M> *, SUBI1, SUBI2>
|
|
{ typedef abstract_null_type matrix_type; };
|
|
|
|
template <typename M, typename SUBI1, typename SUBI2> inline
|
|
typename select_return<typename sub_matrix_type<const M *, SUBI1, SUBI2>
|
|
::matrix_type, typename sub_matrix_type<M *, SUBI1, SUBI2>::matrix_type,
|
|
M *>::return_type
|
|
sub_matrix(mpi_distributed_matrix<M> &m, const SUBI1 &si1, const SUBI2 &si2)
|
|
{ return sub_matrix(m.M, si1, si2); }
|
|
|
|
template <typename MAT, typename SUBI1, typename SUBI2> inline
|
|
typename select_return<typename sub_matrix_type<const MAT *, SUBI1, SUBI2>
|
|
::matrix_type, typename sub_matrix_type<MAT *, SUBI1, SUBI2>::matrix_type,
|
|
const MAT *>::return_type
|
|
sub_matrix(const mpi_distributed_matrix<MAT> &m, const SUBI1 &si1,
|
|
const SUBI2 &si2)
|
|
{ return sub_matrix(m.M, si1, si2); }
|
|
|
|
template <typename M, typename SUBI1> inline
|
|
typename select_return<typename sub_matrix_type<const M *, SUBI1, SUBI1>
|
|
::matrix_type, typename sub_matrix_type<M *, SUBI1, SUBI1>::matrix_type,
|
|
M *>::return_type
|
|
sub_matrix(mpi_distributed_matrix<M> &m, const SUBI1 &si1)
|
|
{ return sub_matrix(m.M, si1, si1); }
|
|
|
|
template <typename M, typename SUBI1> inline
|
|
typename select_return<typename sub_matrix_type<const M *, SUBI1, SUBI1>
|
|
::matrix_type, typename sub_matrix_type<M *, SUBI1, SUBI1>::matrix_type,
|
|
const M *>::return_type
|
|
sub_matrix(const mpi_distributed_matrix<M> &m, const SUBI1 &si1)
|
|
{ return sub_matrix(m.M, si1, si1); }
|
|
|
|
|
|
template <typename L> struct transposed_return<const mpi_distributed_matrix<L> *>
|
|
{ typedef abstract_null_type return_type; };
|
|
template <typename L> struct transposed_return<mpi_distributed_matrix<L> *>
|
|
{ typedef abstract_null_type return_type; };
|
|
|
|
template <typename L> inline typename transposed_return<const L *>::return_type
|
|
transposed(const mpi_distributed_matrix<L> &l)
|
|
{ return transposed(l.M); }
|
|
|
|
template <typename L> inline typename transposed_return<L *>::return_type
|
|
transposed(mpi_distributed_matrix<L> &l)
|
|
{ return transposed(l.M); }
|
|
|
|
|
|
template <typename MAT>
|
|
struct linalg_traits<mpi_distributed_matrix<MAT> > {
|
|
typedef mpi_distributed_matrix<MAT> this_type;
|
|
typedef MAT origin_type;
|
|
typedef linalg_false is_reference;
|
|
typedef abstract_matrix linalg_type;
|
|
typedef typename linalg_traits<MAT>::value_type value_type;
|
|
typedef typename linalg_traits<MAT>::reference reference;
|
|
typedef typename linalg_traits<MAT>::storage_type storage_type;
|
|
typedef abstract_null_type sub_row_type;
|
|
typedef abstract_null_type const_sub_row_type;
|
|
typedef abstract_null_type row_iterator;
|
|
typedef abstract_null_type const_row_iterator;
|
|
typedef abstract_null_type sub_col_type;
|
|
typedef abstract_null_type const_sub_col_type;
|
|
typedef abstract_null_type col_iterator;
|
|
typedef abstract_null_type const_col_iterator;
|
|
typedef abstract_null_type sub_orientation;
|
|
typedef abstract_null_type index_sorted;
|
|
static size_type nrows(const this_type &m) { return nrows(m.M); }
|
|
static size_type ncols(const this_type &m) { return ncols(m.M); }
|
|
static void do_clear(this_type &m) { clear(m.M); }
|
|
};
|
|
|
|
}
|
|
|
|
|
|
#endif // GMM_USES_MPI
|
|
|
|
namespace std {
|
|
template <typename V>
|
|
void swap(gmm::row_matrix<V> &m1, gmm::row_matrix<V> &m2)
|
|
{ m1.swap(m2); }
|
|
template <typename V>
|
|
void swap(gmm::col_matrix<V> &m1, gmm::col_matrix<V> &m2)
|
|
{ m1.swap(m2); }
|
|
template <typename T>
|
|
void swap(gmm::dense_matrix<T> &m1, gmm::dense_matrix<T> &m2)
|
|
{ m1.swap(m2); }
|
|
template <typename T, int shift> void
|
|
swap(gmm::csc_matrix<T,shift> &m1, gmm::csc_matrix<T,shift> &m2)
|
|
{ m1.swap(m2); }
|
|
template <typename T, int shift> void
|
|
swap(gmm::csr_matrix<T,shift> &m1, gmm::csr_matrix<T,shift> &m2)
|
|
{ m1.swap(m2); }
|
|
}
|
|
|
|
|
|
|
|
|
|
#endif /* GMM_MATRIX_H__ */
|