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new_solver_cg.cc
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new_solver_cg.cc
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/**
* file new_solver_cg.cc
*
* @author Till Junge <till.junge@epfl.ch>
*
* @date 24 Apr 2018
*
* @brief implements SolverCGDyn
*
* @section LICENSE
*
* Copyright © 2018 Till Junge
*
* µSpectre 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 3, or (at
* your option) any later version.
*
* µSpectre 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 GNU Emacs; see the file COPYING. If not, write to the
* Free Software Foundation, Inc., 59 Temple Place - Suite 330,
* Boston, MA 02111-1307, USA.
*/
#include "solver/new_solver_cg.hh"
#include "common/communicator.hh"
#include <iomanip>
#include <sstream>
namespace muSpectre {
/* ---------------------------------------------------------------------- */
SolverCGDyn::SolverCGDyn(Cell & cell, Real tol, Uint maxiter, bool verbose):
Parent(cell, tol, maxiter, verbose),
r_k(cell.get_nb_dof()),
p_k(cell.get_nb_dof()),
Ap_k(cell.get_nb_dof()),
x_k(cell.get_nb_dof())
{}
/* ---------------------------------------------------------------------- */
auto SolverCGDyn::solve(const ConstVector_ref rhs) -> Vector_map {
this->x_k.setZero();
const Communicator & comm = this->cell.get_communicator();
// Following implementation of algorithm 5.2 in Nocedal's
// Numerical Optimization (p. 112)
//initialisation of algorithm
this->r_k = (this->cell.evaluate_projected_directional_stiffness(this->x_k)
- rhs);
this->p_k = -this->r_k;
this->converged = false;
Real rdr = comm.sum(this->r_k.dot(this->r_k));
Real rhs_norm2 = comm.sum(rhs.squaredNorm());
Real tol2 = ipow(this->tol, 2) * rhs_norm2;
size_t count_width{}; // for output formatting in verbose case
if (this->verbose) {
count_width = size_t(std::log10(this->maxiter))+1;
}
for (Uint i = 0;
i < this->maxiter && (rdr > tol2 || i == 0);
++i, ++this->counter) {
this->Ap_k = this->cell.evaluate_projected_directional_stiffness(this->p_k);
Real alpha = rdr/comm.sum(this->p_k.dot(this->Ap_k));
this->x_k += alpha * this->p_k;
this->r_k += alpha * this->Ap_k;
Real new_rdr = comm.sum(this->r_k.dot(this->r_k));
Real beta = new_rdr/rdr;
rdr = new_rdr;
if (this->verbose && comm.rank() == 0) {
std::cout << " at CG step " << std::setw(count_width) << i
<< ": |r|/|b| = " << std::setw(15) << std::sqrt(rdr/rhs_norm2)
<< ", cg_tol = " << this->tol << std::endl;
}
this->p_k = - this->r_k + beta * this->p_k;
}
if (rdr < tol2) {
this->converged = true;
} else {
std::stringstream err{};
err << " After " << this->counter << " steps, the solver "
<< " FAILED with |r|/|b| = "
<< std::setw(15) << std::sqrt(rdr/rhs_norm2)
<< ", cg_tol = " << this->tol << std::endl;
throw ConvergenceError("Conjugate gradient has not converged." + err.str());
}
return Vector_map(this->x_k.data(), this->x_k.size());
}
} // muSpectre

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