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// Ceres Solver - A fast non-linear least squares minimizer
// Copyright 2015 Google Inc. All rights reserved.
// http://ceres-solver.org/
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are met:
//
// * Redistributions of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
// * Redistributions in binary form must reproduce the above copyright notice,
// this list of conditions and the following disclaimer in the documentation
// and/or other materials provided with the distribution.
// * Neither the name of Google Inc. nor the names of its contributors may be
// used to endorse or promote products derived from this software without
// specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
// AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
// IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
// ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE
// LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
// CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
// SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
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// Author: sameeragarwal@google.com (Sameer Agarwal)
#ifndef CERES_INTERNAL_LINE_SEARCH_MINIMIZER_H_
#define CERES_INTERNAL_LINE_SEARCH_MINIMIZER_H_
#include "ceres/minimizer.h"
#include "ceres/solver.h"
#include "ceres/types.h"
#include "ceres/internal/eigen.h"
#include "glog/logging.h"
namespace ceres {
namespace internal {
// Generic line search minimization algorithm.
//
// For example usage, see SolverImpl::Minimize.
class LineSearchMinimizer : public Minimizer {
public:
struct State {
State(int num_parameters,
int num_effective_parameters)
: cost(0.0),
gradient(num_effective_parameters),
gradient_squared_norm(0.0),
search_direction(num_effective_parameters),
directional_derivative(0.0),
step_size(0.0) {
}
double cost;
Vector gradient;
double gradient_squared_norm;
double gradient_max_norm;
Vector search_direction;
double directional_derivative;
double step_size;
};
~LineSearchMinimizer() {}
virtual void Minimize(const Minimizer::Options& options,
double* parameters,
Solver::Summary* summary);
};
} // namespace internal
} // namespace ceres
#endif // CERES_INTERNAL_LINE_SEARCH_MINIMIZER_H_