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							- // Ceres Solver - A fast non-linear least squares minimizer
 
- // Copyright 2015 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_COVARIANCE_IMPL_H_
 
- #define CERES_INTERNAL_COVARIANCE_IMPL_H_
 
- #include <map>
 
- #include <memory>
 
- #include <set>
 
- #include <utility>
 
- #include <vector>
 
- #include "ceres/covariance.h"
 
- #include "ceres/internal/port.h"
 
- #include "ceres/problem_impl.h"
 
- #include "ceres/suitesparse.h"
 
- namespace ceres {
 
- namespace internal {
 
- class CompressedRowSparseMatrix;
 
- class CERES_EXPORT_INTERNAL CovarianceImpl {
 
-  public:
 
-   explicit CovarianceImpl(const Covariance::Options& options);
 
-   ~CovarianceImpl();
 
-   bool Compute(const std::vector<std::pair<const double*, const double*>>&
 
-                    covariance_blocks,
 
-                ProblemImpl* problem);
 
-   bool Compute(const std::vector<const double*>& parameter_blocks,
 
-                ProblemImpl* problem);
 
-   bool GetCovarianceBlockInTangentOrAmbientSpace(
 
-       const double* parameter_block1,
 
-       const double* parameter_block2,
 
-       bool lift_covariance_to_ambient_space,
 
-       double* covariance_block) const;
 
-   bool GetCovarianceMatrixInTangentOrAmbientSpace(
 
-       const std::vector<const double*>& parameters,
 
-       bool lift_covariance_to_ambient_space,
 
-       double* covariance_matrix) const;
 
-   bool ComputeCovarianceSparsity(
 
-       const std::vector<std::pair<const double*, const double*>>&
 
-           covariance_blocks,
 
-       ProblemImpl* problem);
 
-   bool ComputeCovarianceValues();
 
-   bool ComputeCovarianceValuesUsingDenseSVD();
 
-   bool ComputeCovarianceValuesUsingSuiteSparseQR();
 
-   bool ComputeCovarianceValuesUsingEigenSparseQR();
 
-   const CompressedRowSparseMatrix* covariance_matrix() const {
 
-     return covariance_matrix_.get();
 
-   }
 
-  private:
 
-   ProblemImpl* problem_;
 
-   Covariance::Options options_;
 
-   Problem::EvaluateOptions evaluate_options_;
 
-   bool is_computed_;
 
-   bool is_valid_;
 
-   std::map<const double*, int> parameter_block_to_row_index_;
 
-   std::set<const double*> constant_parameter_blocks_;
 
-   std::unique_ptr<CompressedRowSparseMatrix> covariance_matrix_;
 
- };
 
- }  // namespace internal
 
- }  // namespace ceres
 
- #endif  // CERES_INTERNAL_COVARIANCE_IMPL_H_
 
 
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