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- // Ceres Solver - A fast non-linear least squares minimizer
- // Copyright 2023 Google Inc. All rights reserved.
- // http://ceres-solver.org/
- //
- // 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: sameeragarwal@google.com (Sameer Agarwal)
- #ifndef CERES_INTERNAL_FUNCTION_SAMPLE_H_
- #define CERES_INTERNAL_FUNCTION_SAMPLE_H_
- #include <string>
- #include "ceres/internal/disable_warnings.h"
- #include "ceres/internal/eigen.h"
- #include "ceres/internal/export.h"
- namespace ceres::internal {
- // FunctionSample is used by the line search routines to store and
- // communicate the value and (optionally) the gradient of the function
- // being minimized.
- //
- // Since line search as the name implies happens along a certain
- // line/direction. FunctionSample contains the information in two
- // ways. Information in the ambient space and information along the
- // direction of search.
- struct CERES_NO_EXPORT FunctionSample {
- FunctionSample();
- FunctionSample(double x, double value);
- FunctionSample(double x, double value, double gradient);
- std::string ToDebugString() const;
- // x is the location of the sample along the search direction.
- double x;
- // Let p be a point and d be the search direction then
- //
- // vector_x = p + x * d;
- Vector vector_x;
- // True if vector_x has been assigned a valid value.
- bool vector_x_is_valid;
- // value = f(vector_x)
- double value;
- // True of the evaluation was successful and value is a finite
- // number.
- bool value_is_valid;
- // vector_gradient = Df(vector_position);
- //
- // D is the derivative operator.
- Vector vector_gradient;
- // True if the vector gradient was evaluated and the evaluation was
- // successful (the value is a finite number).
- bool vector_gradient_is_valid;
- // gradient = d.transpose() * vector_gradient
- //
- // where d is the search direction.
- double gradient;
- // True if the evaluation of the gradient was successful and the
- // value is a finite number.
- bool gradient_is_valid;
- };
- } // namespace ceres::internal
- #include "ceres/internal/reenable_warnings.h"
- #endif // CERES_INTERNAL_FUNCTION_SAMPLE_H_
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