/usr/include/dolfin/adaptivity/AdaptiveNonlinearVariationalSolver.h is in libdolfin1.0-dev 1.0.0-1.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 | // Copyright (C) 2010 Marie E. Rognes
//
// This file is part of DOLFIN.
//
// DOLFIN 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.
//
// DOLFIN 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 for more details.
//
// You should have received a copy of the GNU Lesser General Public License
// along with DOLFIN. If not, see <http://www.gnu.org/licenses/>.
//
// Modified by Anders Logg, 2010-2011.
// Modified by Garth N. Wells, 2011.
//
// First added: 2010-08-19
// Last changed: 2011-03-31
#ifndef __ADAPTIVE_NONLINEAR_VARIATIONAL_SOLVER_H
#define __ADAPTIVE_NONLINEAR_VARIATIONAL_SOLVER_H
#include <boost/shared_ptr.hpp>
#include <dolfin/fem/BoundaryCondition.h>
#include "GenericAdaptiveVariationalSolver.h"
namespace dolfin
{
// Forward declarations
class Function;
class NonlinearVariationalProblem;
class GoalFunctional;
class Mesh;
/// A class for goal-oriented adaptive solution of nonlinear
/// variational problems.
///
/// For a nonlinear variational problem of the form: find u in V
/// satisfying
///
/// F(u; v) = 0 for all v in :math:`\hat V`
///
/// and a corresponding conforming discrete problem: find u_h in V_h
/// satisfying (at least approximately)
///
/// F(u_h; v) = 0 for all v in :math:`\hat V_h`
///
/// and a given goal functional M and tolerance tol, the aim is to
/// find a V_H and a u_H in V_H satisfying the discrete problem such
/// that
///
/// \|M(u) - M(u_H)\| < tol
///
/// This strategy is based on dual-weighted residual error
/// estimators designed and automatically generated for the primal
/// problem and subsequent h-adaptivity.
class AdaptiveNonlinearVariationalSolver
: public GenericAdaptiveVariationalSolver
{
public:
/// Create AdaptiveNonlinearVariationalSolver
///
/// *Arguments*
/// problem (_NonlinearVariationalProblem_)
/// The primal problem
AdaptiveNonlinearVariationalSolver(NonlinearVariationalProblem& problem);
/// Create AdaptiveNonlinearVariationalSolver
///
/// *Arguments*
/// problem (_NonlinearVariationalProblem_)
/// The primal problem
AdaptiveNonlinearVariationalSolver(boost::shared_ptr<NonlinearVariationalProblem> problem);
/// Destructor
~AdaptiveNonlinearVariationalSolver() {/* Do nothing */};
/// Solve problem such that the error measured in the goal
/// functional 'M' is less than the given tolerance using the
/// GoalFunctional's ErrorControl object.
///
/// *Arguments*
/// tol (double)
/// The error tolerance
/// goal (_GoalFunctional_)
/// The goal functional
virtual void solve(const double tol, GoalFunctional& M);
/// Solve the primal problem.
///
/// *Returns*
/// _Function_
/// The solution to the primal problem
virtual boost::shared_ptr<const Function> solve_primal();
/// Extract the boundary conditions for the primal problem.
///
/// *Returns*
/// std::vector<_BoundaryCondition_>
/// The primal boundary conditions
virtual std::vector<boost::shared_ptr<const BoundaryCondition> >
extract_bcs() const;
/// Evaluate the goal functional.
///
/// *Arguments*
/// M (_Form_)
/// The functional to be evaluated
/// u (_Function_)
/// The function at which to evaluate the functional
///
/// *Returns*
/// double
/// The value of M evaluated at u
virtual double evaluate_goal(Form& M,
boost::shared_ptr<const Function> u) const;
/// Adapt the problem to other mesh.
///
/// *Arguments*
/// mesh (_Mesh_)
/// The other mesh
virtual void adapt_problem(boost::shared_ptr<const Mesh> mesh);
protected:
/// Return the number of degrees of freedom for primal problem
///
/// *Returns*
/// _uint_
/// The number of degrees of freedom
virtual uint num_dofs_primal();
private:
// The problem
boost::shared_ptr<NonlinearVariationalProblem> problem;
};
}
#endif
|