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DCLN cooking and various bug fixes

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Jack Andersen
2017-10-16 19:51:53 -10:00
parent 4af2d975f4
commit 5149128b60
84 changed files with 23876 additions and 52 deletions
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gmm/gmm_iter.h Normal file
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/* -*- c++ -*- (enables emacs c++ mode) */
/*===========================================================================
Copyright (C) 2002-2017 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_iter.h
@author Yves Renard <Yves.Renard@insa-lyon.fr>
@date February 10, 2003.
@brief Iteration object.
*/
#ifndef GMM_ITER_H__
#define GMM_ITER_H__
#include "gmm_kernel.h"
#include <iomanip>
namespace gmm {
/** The Iteration object calculates whether the solution has reached the
desired accuracy, or whether the maximum number of iterations has
been reached.
The method finished() checks the convergence. The first()
method is used to determine the first iteration of the loop.
*/
class iteration {
protected :
double rhsn; /* Right hand side norm. */
size_type maxiter; /* Max. number of iterations. */
int noise; /* if noise > 0 iterations are printed. */
double resmax; /* maximum residu. */
double resminreach, resadd;
double diverged_res; /* Threshold beyond which the iterative */
/* is considered to diverge. */
size_type nit; /* iteration number. */
double res; /* last computed residu. */
std::string name; /* eventually, name of the method. */
bool written;
void (*callback)(const gmm::iteration&);
public :
void init(void) {
nit = 0; res = 0.0; written = false;
resminreach = 1E200; resadd = 0.0;
callback = 0;
}
iteration(double r = 1.0E-8, int noi = 0, size_type mit = size_type(-1),
double div_res = 1E200)
: rhsn(1.0), maxiter(mit), noise(noi), resmax(r), diverged_res(div_res)
{ init(); }
void operator ++(int) { nit++; written = false; resadd += res; }
void operator ++() { (*this)++; }
bool first(void) { return nit == 0; }
/* get/set the "noisyness" (verbosity) of the solvers */
int get_noisy(void) const { return noise; }
void set_noisy(int n) { noise = n; }
void reduce_noisy(void) { if (noise > 0) noise--; }
double get_resmax(void) const { return resmax; }
void set_resmax(double r) { resmax = r; }
double get_res() const { return res; }
void enforce_converged(bool c = true)
{ if (c) res = double(0); else res = rhsn * resmax + double(1); }
/* change the user-definable callback, called after each iteration */
void set_callback(void (*t)(const gmm::iteration&)) {
callback = t;
}
double get_diverged_residual(void) const { return diverged_res; }
void set_diverged_residual(double r) { diverged_res = r; }
size_type get_iteration(void) const { return nit; }
void set_iteration(size_type i) { nit = i; }
size_type get_maxiter(void) const { return maxiter; }
void set_maxiter(size_type i) { maxiter = i; }
double get_rhsnorm(void) const { return rhsn; }
void set_rhsnorm(double r) { rhsn = r; }
bool converged(void) {
return !isnan(res) && res <= rhsn * resmax;
}
bool converged(double nr) {
res = gmm::abs(nr);
resminreach = std::min(resminreach, res);
return converged();
}
template <typename VECT> bool converged(const VECT &v)
{ return converged(gmm::vect_norm2(v)); }
bool diverged(void) {
return isnan(res) || (nit>=maxiter)
|| (res>=rhsn*diverged_res && nit > 4);
}
bool diverged(double nr) {
res = gmm::abs(nr);
resminreach = std::min(resminreach, res);
return diverged();
}
bool finished(double nr) {
if (callback) callback(*this);
if (noise > 0 && !written) {
double a = (rhsn == 0) ? 1.0 : rhsn;
converged(nr);
cout << name << " iter " << std::setw(3) << nit << " residual "
<< std::setw(12) << gmm::abs(nr) / a;
// if (nit % 100 == 0 && nit > 0) {
// cout << " (residual min " << resminreach / a << " mean val "
// << resadd / (100.0 * a) << " )";
// resadd = 0.0;
// }
cout << endl;
written = true;
}
return (converged(nr) || diverged(nr));
}
template <typename VECT> bool finished_vect(const VECT &v)
{ return finished(double(gmm::vect_norm2(v))); }
void set_name(const std::string &n) { name = n; }
const std::string &get_name(void) const { return name; }
};
}
#endif /* GMM_ITER_H__ */