|  | // Ceres Solver - A fast non-linear least squares minimizer | 
|  | // Copyright 2013 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 | 
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|  | // CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF | 
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|  | // 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: sameeragarwal@google.com (Sameer Agarwal) | 
|  |  | 
|  | #ifndef CERES_INTERNAL_NUMERIC_DIFF_TEST_UTILS_H_ | 
|  | #define CERES_INTERNAL_NUMERIC_DIFF_TEST_UTILS_H_ | 
|  |  | 
|  | #include "ceres/cost_function.h" | 
|  | #include "ceres/sized_cost_function.h" | 
|  | #include "ceres/types.h" | 
|  |  | 
|  | namespace ceres { | 
|  | namespace internal { | 
|  |  | 
|  | // y1 = x1'x2      -> dy1/dx1 = x2,               dy1/dx2 = x1 | 
|  | // y2 = (x1'x2)^2  -> dy2/dx1 = 2 * x2 * (x1'x2), dy2/dx2 = 2 * x1 * (x1'x2) | 
|  | // y3 = x2'x2      -> dy3/dx1 = 0,                dy3/dx2 = 2 * x2 | 
|  | class EasyFunctor { | 
|  | public: | 
|  | bool operator()(const double* x1, const double* x2, double* residuals) const; | 
|  | void ExpectCostFunctionEvaluationIsNearlyCorrect( | 
|  | const CostFunction& cost_function, | 
|  | NumericDiffMethod method) const; | 
|  | }; | 
|  |  | 
|  | class EasyCostFunction : public SizedCostFunction<3, 5, 5> { | 
|  | public: | 
|  | virtual bool Evaluate(double const* const* parameters, | 
|  | double* residuals, | 
|  | double** /* not used */) const { | 
|  | return functor_(parameters[0], parameters[1], residuals); | 
|  | } | 
|  |  | 
|  | private: | 
|  | EasyFunctor functor_; | 
|  | }; | 
|  |  | 
|  | // y1 = sin(x1'x2) | 
|  | // y2 = exp(-x1'x2 / 10) | 
|  | // | 
|  | // dy1/dx1 =  x2 * cos(x1'x2),            dy1/dx2 =  x1 * cos(x1'x2) | 
|  | // dy2/dx1 = -x2 * exp(-x1'x2 / 10) / 10, dy2/dx2 = -x2 * exp(-x1'x2 / 10) / 10 | 
|  | class TranscendentalFunctor { | 
|  | public: | 
|  | bool operator()(const double* x1, const double* x2, double* residuals) const; | 
|  | void ExpectCostFunctionEvaluationIsNearlyCorrect( | 
|  | const CostFunction& cost_function, | 
|  | NumericDiffMethod method) const; | 
|  | }; | 
|  |  | 
|  | class TranscendentalCostFunction : public SizedCostFunction<2, 5, 5> { | 
|  | public: | 
|  | virtual bool Evaluate(double const* const* parameters, | 
|  | double* residuals, | 
|  | double** /* not used */) const { | 
|  | return functor_(parameters[0], parameters[1], residuals); | 
|  | } | 
|  | private: | 
|  | TranscendentalFunctor functor_; | 
|  | }; | 
|  |  | 
|  | }  // namespace internal | 
|  | }  // namespace ceres | 
|  |  | 
|  | #endif  // CERES_INTERNAL_NUMERIC_DIFF_TEST_UTILS_H_ |