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//=====================================================
// Copyright (C) 2012 Andrea Arteaga <andyspiros@gmail.com>
//=====================================================
//
// This program is free software; you can redistribute it and/or
// modify it under the terms of the GNU General Public License
// as published by the Free Software Foundation; either version 2
// of the License, 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 General Public License for more details.
// You should have received a copy of the GNU General Public License
// along with this program; if not, write to the Free Software
// Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA.
//
#ifndef ACTION_LUDECOMP
#define ACTION_LUDECOMP
#include "LinearCongruential.hpp"
#include <vector>
#include <algorithm>
template<class Interface>
class Action_LUdecomp{
typedef typename Interface::Scalar Scalar;
typedef std::vector<Scalar> vector_t;
private:
// Invalidate copy constructor
Action_LUdecomp(const Action_LUdecomp&);
public:
// Constructor
Action_LUdecomp(int size)
: _size(size), lc(10),
A(lc.fillVector<Scalar>(size*size)), A_work(size*size),
eye_work(size*size), ipiv(size)
{
MESSAGE("Action_LUdecomp Constructor");
// Make sure A is invertible
for (int i = 0; i < size; ++i)
A[i+i*size] += 1.2*size;
}
// Action name
static std::string name()
{
return "LUdecomp_" + Interface::name();
}
double fpo() {
return double(_size)*double(_size)*double(_size);
}
inline void initialize(){
std::copy(A.begin(), A.end(), A_work.begin());
}
inline void calculate() {
Interface::LUdecomp(_size, &A_work[0], &ipiv[0]);
}
Scalar getResidual() {
initialize();
calculate();
// Initialize identity
for (int r = 0; r < _size; ++r)
for (int c = 0; c < _size; ++c)
eye_work[r+_size*c] = (r == c);
Interface::TriMatrixMatrix('u', _size, _size, &A_work[0], &eye_work[0]);
// Hard-coded unitary diagonal
for (int r = 0; r < _size; ++r)
A_work[r+_size*r] = 1.;
Interface::TriMatrixMatrix('l', _size, _size, &A_work[0], &eye_work[0]);
Interface::axpy(_size*_size, -1., &A[0], &eye_work[0]);
Scalar n = Interface::norm(_size*_size, &eye_work[0]);
n /= Interface::norm(_size*_size, &A[0]);
return n;
}
private:
const int _size;
LinearCongruential<> lc;
vector_t A;
vector_t A_work, eye_work;;
std::vector<int> ipiv;
};
#endif // ACTION_LUDECOMP
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