| 123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899 | // 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)#include "ceres/covariance.h"#include <utility>#include <vector>#include "ceres/covariance_impl.h"#include "ceres/problem.h"#include "ceres/problem_impl.h"namespace ceres {using std::make_pair;using std::pair;using std::vector;Covariance::Covariance(const Covariance::Options& options) {  impl_.reset(new internal::CovarianceImpl(options));}Covariance::~Covariance() {}bool Covariance::Compute(    const vector<pair<const double*, const double*> >& covariance_blocks,    Problem* problem) {  return impl_->Compute(covariance_blocks, problem->problem_impl_.get());}bool Covariance::Compute(    const vector<const double*>& parameter_blocks,    Problem* problem) {  return impl_->Compute(parameter_blocks, problem->problem_impl_.get());}bool Covariance::GetCovarianceBlock(const double* parameter_block1,                                    const double* parameter_block2,                                    double* covariance_block) const {  return impl_->GetCovarianceBlockInTangentOrAmbientSpace(parameter_block1,                                                          parameter_block2,                                                          true,  // ambient                                                          covariance_block);}bool Covariance::GetCovarianceBlockInTangentSpace(    const double* parameter_block1,    const double* parameter_block2,    double* covariance_block) const {  return impl_->GetCovarianceBlockInTangentOrAmbientSpace(parameter_block1,                                                          parameter_block2,                                                          false,  // tangent                                                          covariance_block);}bool Covariance::GetCovarianceMatrix(    const vector<const double*>& parameter_blocks,    double* covariance_matrix) {  return impl_->GetCovarianceMatrixInTangentOrAmbientSpace(parameter_blocks,                                                           true,  // ambient                                                           covariance_matrix);}bool Covariance::GetCovarianceMatrixInTangentSpace(    const std::vector<const double *>& parameter_blocks,    double *covariance_matrix) {  return impl_->GetCovarianceMatrixInTangentOrAmbientSpace(parameter_blocks,                                                           false,  // tangent                                                           covariance_matrix);}}  // namespace ceres
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