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// NOX: An Object-Oriented Nonlinear Solver Package
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#ifndef NOX_LINESEARCH_GENERIC_H
#define NOX_LINESEARCH_GENERIC_H
#include "Teuchos_RCP.hpp"
// Forward Declarations
namespace Teuchos {
class ParameterList;
}
namespace NOX {
class GlobalData;
namespace Abstract {
class Vector;
class Group;
}
namespace Solver {
class Generic;
}
}
namespace NOX {
//! NOX linesearches
namespace LineSearch {
/*! \brief Base class line search interface
Every line search should respect the following Parameter:
- "Max Iters" - maximum number of iterations (i.e., RHS computations)
*/
class Generic {
public:
//! Default constructor
Generic() {};
//! Destructor
virtual ~Generic() {};
//! Perform a line search
/*!
On input:
@param grp The initial solution vector, \f$x_{\rm old}\f$.
@param dir A vector of directions to be used in the line search, \f$d\f$.
@param s The nonlinear solver.
On output:
@param step The distance the direction was scaled, \f$ \lambda \f$.
@param grp The \c grp is updated with a new solution, \f$ x_{\rm new} \f$, resulting from the linesearch. Normally, for a single direction line search, this is computed as:
\f[
x_{\rm new} = x_{\rm old} + \lambda d.
\f]
Ideally, \f$ \|F(x_{\rm new})\| < \|F(x_{\rm old})\| \f$ (e.g the final direction is a descent direction).
Note that the \c dir object is a std::vector. For typical line
searches as described in the above equation, this vector is of size
one. We have used a std::vector to allow for special cases of
multi-directional line searches such as the Bader/Schnabel
curvillinear line search.
Return value is true for a successful line search computation.
*/
virtual bool compute(NOX::Abstract::Group& grp,
double& step,
const NOX::Abstract::Vector& dir,
const NOX::Solver::Generic& s) = 0;
};
} // namespace LineSearch
} // namespace NOX
#endif
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