| 123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475 | // Ceres Solver - A fast non-linear least squares minimizer// Copyright 2018 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/iterative_refiner.h"#include <string>#include "Eigen/Core"#include "ceres/sparse_cholesky.h"#include "ceres/sparse_matrix.h"namespace ceres {namespace internal {IterativeRefiner::IterativeRefiner(const int max_num_iterations)    : max_num_iterations_(max_num_iterations) {}IterativeRefiner::~IterativeRefiner() {}void IterativeRefiner::Allocate(int num_cols) {  residual_.resize(num_cols);  correction_.resize(num_cols);  lhs_x_solution_.resize(num_cols);}void IterativeRefiner::Refine(const SparseMatrix& lhs,                              const double* rhs_ptr,                              SparseCholesky* sparse_cholesky,                              double* solution_ptr) {  const int num_cols = lhs.num_cols();  Allocate(num_cols);  ConstVectorRef rhs(rhs_ptr, num_cols);  VectorRef solution(solution_ptr, num_cols);  for (int i = 0; i < max_num_iterations_; ++i) {    // residual = rhs - lhs * solution    lhs_x_solution_.setZero();    lhs.RightMultiply(solution_ptr, lhs_x_solution_.data());    residual_ = rhs - lhs_x_solution_;    // solution += lhs^-1 residual    std::string ignored_message;    sparse_cholesky->Solve(        residual_.data(), correction_.data(), &ignored_message);    solution += correction_;  }};}  // namespace internal}  // namespace ceres
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