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Diffstat (limited to 'extern/libmv/third_party/ceres/internal/ceres/gradient_checking_cost_function.h')
| -rw-r--r-- | extern/libmv/third_party/ceres/internal/ceres/gradient_checking_cost_function.h | 85 |
1 files changed, 0 insertions, 85 deletions
diff --git a/extern/libmv/third_party/ceres/internal/ceres/gradient_checking_cost_function.h b/extern/libmv/third_party/ceres/internal/ceres/gradient_checking_cost_function.h deleted file mode 100644 index d49c8e6c244..00000000000 --- a/extern/libmv/third_party/ceres/internal/ceres/gradient_checking_cost_function.h +++ /dev/null @@ -1,85 +0,0 @@ -// 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) - -#ifndef CERES_INTERNAL_GRADIENT_CHECKING_COST_FUNCTION_H_ -#define CERES_INTERNAL_GRADIENT_CHECKING_COST_FUNCTION_H_ - -#include <string> - -#include "ceres/cost_function.h" - -namespace ceres { -namespace internal { - -class ProblemImpl; - -// Creates a CostFunction that checks the jacobians that cost_function computes -// with finite differences. Bad results are logged; required precision is -// controlled by relative_precision and the numeric differentiation step size is -// controlled with relative_step_size. See solver.h for a better explanation of -// relative_step_size. Caller owns result. -// -// The condition enforced is that -// -// (J_actual(i, j) - J_numeric(i, j)) -// ------------------------------------ < relative_precision -// max(J_actual(i, j), J_numeric(i, j)) -// -// where J_actual(i, j) is the jacobian as computed by the supplied cost -// function (by the user) and J_numeric is the jacobian as computed by finite -// differences. -// -// Note: This is quite inefficient and is intended only for debugging. -CostFunction* CreateGradientCheckingCostFunction( - const CostFunction* cost_function, - double relative_step_size, - double relative_precision, - const string& extra_info); - -// Create a new ProblemImpl object from the input problem_impl, where -// each CostFunctions in problem_impl are wrapped inside a -// GradientCheckingCostFunctions. This gives us a ProblemImpl object -// which checks its derivatives against estimates from numeric -// differentiation everytime a ResidualBlock is evaluated. -// -// relative_step_size and relative_precision are parameters to control -// the numeric differentiation and the relative tolerance between the -// jacobian computed by the CostFunctions in problem_impl and -// jacobians obtained by numerically differentiating them. For more -// details see the documentation for -// CreateGradientCheckingCostFunction above. -ProblemImpl* CreateGradientCheckingProblemImpl(ProblemImpl* problem_impl, - double relative_step_size, - double relative_precision); - -} // namespace internal -} // namespace ceres - -#endif // CERES_INTERNAL_GRADIENT_CHECKING_COST_FUNCTION_H_ |