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				|  |  | +// Ceres Solver - A fast non-linear least squares minimizer
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				|  |  | +// Copyright 2014 Google Inc. All rights reserved.
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				|  |  | +// http://code.google.com/p/ceres-solver/
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				|  |  | +//
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				|  |  | +// Redistribution and use in source and binary forms, with or without
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				|  |  | +// modification, are permitted provided that the following conditions are met:
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				|  |  | +//
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				|  |  | +// * Redistributions of source code must retain the above copyright notice,
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				|  |  | +//   this list of conditions and the following disclaimer.
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				|  |  | +// * Redistributions in binary form must reproduce the above copyright notice,
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				|  |  | +//   this list of conditions and the following disclaimer in the documentation
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				|  |  | +//   and/or other materials provided with the distribution.
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				|  |  | +// * Neither the name of Google Inc. nor the names of its contributors may be
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				|  |  | +//   used to endorse or promote products derived from this software without
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				|  |  | +//   specific prior written permission.
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				|  |  | +//
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				|  |  | +// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
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				|  |  | +// AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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				|  |  | +// IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
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				|  |  | +// ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE
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				|  |  | +// LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
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				|  |  | +// CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
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				|  |  | +// SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
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				|  |  | +// INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
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				|  |  | +// CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
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				|  |  | +// ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
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				|  |  | +// POSSIBILITY OF SUCH DAMAGE.
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				|  |  | +//
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				|  |  | +// Author: sameeragarwal@google.com (Sameer Agarwal)
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				|  |  | +
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				|  |  | +#include <map>
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				|  |  | +
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				|  |  | +#include "ceres/problem_impl.h"
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				|  |  | +#include "ceres/sized_cost_function.h"
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				|  |  | +#include "ceres/solver.h"
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				|  |  | +#include "ceres/line_search_preprocessor.h"
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				|  |  | +#include "gtest/gtest.h"
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				|  |  | +
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				|  |  | +namespace ceres {
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				|  |  | +namespace internal {
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				|  |  | +
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				|  |  | +TEST(LineSearchPreprocessor, ZeroProblem) {
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				|  |  | +  ProblemImpl problem;
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				|  |  | +  Solver::Options options;
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				|  |  | +  options.minimizer_type = LINE_SEARCH;
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				|  |  | +  LineSearchPreprocessor preprocessor;
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				|  |  | +  PreprocessedProblem pp;
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				|  |  | +  EXPECT_TRUE(preprocessor.Preprocess(options, &problem, &pp));
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				|  |  | +}
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				|  |  | +
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				|  |  | +TEST(LineSearchPreprocessor, ProblemWithInvalidParameterBlock) {
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				|  |  | +  ProblemImpl problem;
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				|  |  | +  double x = 1.0/0.0;
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				|  |  | +  problem.AddParameterBlock(&x, 1);
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				|  |  | +  Solver::Options options;
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				|  |  | +  options.minimizer_type = LINE_SEARCH;
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				|  |  | +  LineSearchPreprocessor preprocessor;
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				|  |  | +  PreprocessedProblem pp;
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				|  |  | +  EXPECT_FALSE(preprocessor.Preprocess(options, &problem, &pp));
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				|  |  | +}
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				|  |  | +
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				|  |  | +TEST(LineSearchPreprocessor, ParameterBlockHasBounds) {
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				|  |  | +  ProblemImpl problem;
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				|  |  | +  double x = 1.0;
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				|  |  | +  problem.AddParameterBlock(&x, 1);
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				|  |  | +  problem.SetParameterUpperBound(&x, 0, 1.0);
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				|  |  | +  problem.SetParameterLowerBound(&x, 0, 2.0);
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				|  |  | +  Solver::Options options;
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				|  |  | +  options.minimizer_type = LINE_SEARCH;
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				|  |  | +  LineSearchPreprocessor preprocessor;
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				|  |  | +  PreprocessedProblem pp;
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				|  |  | +  EXPECT_FALSE(preprocessor.Preprocess(options, &problem, &pp));
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				|  |  | +}
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				|  |  | +
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				|  |  | +class FailingCostFunction : public SizedCostFunction<1, 1> {
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				|  |  | + public:
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				|  |  | +  bool Evaluate(double const* const* parameters,
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				|  |  | +                double* residuals,
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				|  |  | +                double** jacobians) const {
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				|  |  | +    return false;
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				|  |  | +  }
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				|  |  | +};
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				|  |  | +
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				|  |  | +TEST(LineSearchPreprocessor, RemoveParameterBlocksFailed) {
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				|  |  | +  ProblemImpl problem;
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				|  |  | +  double x = 3.0;
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				|  |  | +  problem.AddResidualBlock(new FailingCostFunction, NULL, &x);
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				|  |  | +  problem.SetParameterBlockConstant(&x);
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				|  |  | +  Solver::Options options;
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				|  |  | +  options.minimizer_type = LINE_SEARCH;
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				|  |  | +  LineSearchPreprocessor preprocessor;
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				|  |  | +  PreprocessedProblem pp;
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				|  |  | +  EXPECT_FALSE(preprocessor.Preprocess(options, &problem, &pp));
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				|  |  | +}
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				|  |  | +
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				|  |  | +TEST(LineSearchPreprocessor, RemoveParameterBlocksSucceeds) {
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				|  |  | +  ProblemImpl problem;
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				|  |  | +  double x = 3.0;
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				|  |  | +  problem.AddParameterBlock(&x, 1);
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				|  |  | +  Solver::Options options;
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				|  |  | +  options.minimizer_type = LINE_SEARCH;
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				|  |  | +  LineSearchPreprocessor preprocessor;
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				|  |  | +  PreprocessedProblem pp;
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				|  |  | +  EXPECT_TRUE(preprocessor.Preprocess(options, &problem, &pp));
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				|  |  | +}
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				|  |  | +
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				|  |  | +template<int kNumResiduals, int N1 = 0, int N2 = 0, int N3 = 0>
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				|  |  | +class DummyCostFunction : public SizedCostFunction<kNumResiduals, N1, N2, N3> {
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				|  |  | + public:
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				|  |  | +  bool Evaluate(double const* const* parameters,
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				|  |  | +                double* residuals,
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				|  |  | +                double** jacobians) const {
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				|  |  | +    return true;
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				|  |  | +  }
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				|  |  | +};
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				|  |  | +
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				|  |  | +TEST(LineSearchPreprocessor, NormalOperation) {
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				|  |  | +  ProblemImpl problem;
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				|  |  | +  double x = 1.0;
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				|  |  | +  double y = 1.0;
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				|  |  | +  double z = 1.0;
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				|  |  | +  problem.AddResidualBlock(new DummyCostFunction<1, 1, 1>, NULL, &x, &y);
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				|  |  | +  problem.AddResidualBlock(new DummyCostFunction<1, 1, 1>, NULL, &y, &z);
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				|  |  | +
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				|  |  | +  Solver::Options options;
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				|  |  | +  options.minimizer_type = LINE_SEARCH;
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				|  |  | +
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				|  |  | +  LineSearchPreprocessor preprocessor;
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				|  |  | +  PreprocessedProblem pp;
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				|  |  | +  EXPECT_TRUE(preprocessor.Preprocess(options, &problem, &pp));
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				|  |  | +  EXPECT_EQ(pp.evaluator_options.linear_solver_type, CGNR);
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				|  |  | +  EXPECT_TRUE(pp.evaluator.get() != NULL);
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				|  |  | +}
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				|  |  | +
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				|  |  | +}  // namespace internal
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				|  |  | +}  // namespace ceres
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