blob: a1d9c4feaeb708200355aff28374ce862d022b6b [file] [log] [blame]
// Ceres Solver - A fast non-linear least squares minimizer
// Copyright 2010, 2011, 2012 Google Inc. All rights reserved.
// http://code.google.com/p/ceres-solver/
//
// 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
// INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
// CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
// ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
// POSSIBILITY OF SUCH DAMAGE.
//
// Author: keir@google.com (Keir Mierle)
#include "ceres/levenberg_marquardt.h"
#include "gtest/gtest.h"
namespace ceres2 {
namespace internal {
class PowellEvaluator : public Evaluator {
public:
PowellEvaluator(const Program& program);
virtual ~PowellEvaluator() {}
// Implementation of Evaluator interface.
virtual SparseMatrix* CreateJacobian() const {
DenseSparseMatrix* dense_jacobian =
new DenseSparseMatrix(NumResiduals(), NumEffectiveParameters());
dense_jacobian->SetZero();
return dense_jacobian;
}
virtual bool Evaluate(const double* state,
double* cost,
double* residuals,
SparseMatrix* jacobian) {
// f1 = x1 + 10 * x2;
double r0 = x1[0] + T(10.0) * x2[0];
// f2 = sqrt(5) (x3 - x4)
double r1 = T(sqrt(5.0)) * (x3[0] - x4[0]);
// f3 = (x2 - 2 x3)^2
double r2 = (x2[0] - T(2.0) * x4[0]) * (x2[0] - T(2.0) * x4[0]);
// f4 = sqrt(10) (x1 - x4)^2
double r3 = T(sqrt(10.0)) * (x1[0] - x4[0]) * (x1[0] - x4[0]);
if (residuals != NULL) {
residuals[0] = r0;
if (jacobian ==
AlignedMatrixRef jacobian
}
virtual bool Plus(const double* state,
const double* delta,
double* state_plus_delta) const;
virtual int NumEffectiveParameters() const;
virtual int NumParameters() const;
virtual int NumResiduals() const;
};
} // namespace internal
} // namespace ceres2