/usr/include/dolfin/nls/OptimisationProblem.h is in libdolfin-dev 2017.2.0.post0-2.
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 | // Copyright (C) 2014 Tianyi Li
//
// 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/>.
//
// First added: 2014-06-22
// Last changed: 2014-07-19
#ifndef __OPTIMISATION_PROBLEM_H
#define __OPTIMISATION_PROBLEM_H
#include "NonlinearProblem.h"
namespace dolfin
{
// Forward declarations
class GenericMatrix;
class GenericVector;
/// This is a base class for nonlinear optimisation problems which
/// return the real-valued objective function :math:`f(x)`, its
/// gradient :math:`F(x) = f'(x)` and its Hessian :math:`J(x) =
/// f''(x)`
class OptimisationProblem : public NonlinearProblem
{
public:
/// Constructor
OptimisationProblem() {}
/// Destructor
virtual ~OptimisationProblem() {}
/// Compute the objective function :math:`f(x)`
virtual double f(const GenericVector& x) = 0;
/// Compute the Hessian :math:`J(x)=f''(x)` and the gradient
/// :math:`F(x)=f'(x)` together. Called before requesting
/// F or J.
/// NOTE: This function is deprecated. Use variant with
/// preconditioner
virtual void form(GenericMatrix& A, GenericVector& b,
const GenericVector& x)
{
// NOTE: Deprecation mechanism
_called = true;
}
/// Function called by the solver before requesting F, J or J_pc.
/// This can be used to compute F, J and J_pc together. Preconditioner
/// matrix P can be left empty so that A is used instead
virtual void form(GenericMatrix& A, GenericMatrix& P, GenericVector& b,
const GenericVector& x)
{
// Do nothing if not supplied by the user
// NOTE: Deprecation mechanism
form(A, b, x);
if (!_called)
{
// deprecated form(A, b, x) was not called which means that user
// overloaded the deprecated method
deprecation("NonlinearProblem::form(A, b, x)",
"2017.1.0dev",
"Use NonlinearProblem::form(A, P, b, x)");
}
_called = false;
}
/// Compute the gradient :math:`F(x) = f'(x)`
virtual void F(GenericVector& b, const GenericVector& x) = 0;
/// Compute the Hessian :math:`J(x) = f''(x)`
virtual void J(GenericMatrix& A, const GenericVector& x) = 0;
/// Compute J_pc used to precondition J. Not implementing this
/// or leaving P empty results in system matrix A being used
/// to construct preconditioner.
///
/// Note that if nonempty P is not assembled on first call
/// then a solver implementation may throw away P and not
/// call this routine ever again.
virtual void J_pc(GenericMatrix& P, const GenericVector& x)
{
// Do nothing if not supplied by the user
}
private:
// NOTE: Deprecation mechanism
bool _called;
};
}
#endif
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