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diff --git a/extern/libmv/third_party/ceres/internal/ceres/runtime_numeric_diff_cost_function.h b/extern/libmv/third_party/ceres/internal/ceres/runtime_numeric_diff_cost_function.h
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-// 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)
-//
-// Create CostFunctions as needed by the least squares framework with jacobians
-// computed via numeric differentiation.
-//
-// To get a numerically differentiated cost function, define a subclass of
-// CostFunction such that the Evaluate() function ignores the jacobian
-// parameter. The numeric differentiation wrapper will fill in the jacobian
-// parameter if nececssary by repeatedly calling the Evaluate() function with
-// small changes to the appropriate parameters, and computing the slope. This
-// implementation is not templated (hence the "Runtime" prefix), which is a bit
-// slower than but is more convenient than the templated version in
-// numeric_diff_cost_function.h
-//
-// The numerically differentiated version of a cost function for a cost function
-// can be constructed as follows:
-//
-// CostFunction* cost_function =
-// CreateRuntimeNumericDiffCostFunction(new MyCostFunction(...),
-// CENTRAL,
-// TAKE_OWNERSHIP);
-//
-// The central difference method is considerably more accurate; consider using
-// to start and only after that works, trying forward difference.
-//
-// TODO(keir): Characterize accuracy; mention pitfalls; provide alternatives.
-
-#ifndef CERES_INTERNAL_RUNTIME_NUMERIC_DIFF_COST_FUNCTION_H_
-#define CERES_INTERNAL_RUNTIME_NUMERIC_DIFF_COST_FUNCTION_H_
-
-#include "ceres/cost_function.h"
-
-namespace ceres {
-namespace internal {
-
-enum RuntimeNumericDiffMethod {
- CENTRAL,
- FORWARD,
-};
-
-// Create a cost function that evaluates the derivative with finite differences.
-// The base cost_function's implementation of Evaluate() only needs to fill in
-// the "residuals" argument and not the "jacobians". Any data written to the
-// jacobians by the base cost_function is overwritten.
-//
-// Forward difference or central difference is selected with CENTRAL or FORWARD.
-// The relative eps, which determines the step size for forward and central
-// differencing, is set with relative eps. Caller owns the resulting cost
-// function, and the resulting cost function does not own the base cost
-// function.
-CostFunction *CreateRuntimeNumericDiffCostFunction(
- const CostFunction *cost_function,
- RuntimeNumericDiffMethod method,
- double relative_eps);
-
-} // namespace internal
-} // namespace ceres
-
-#endif // CERES_INTERNAL_RUNTIME_NUMERIC_DIFF_COST_FUNCTION_H_