| 123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172 | // 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: keir@google.com (Keir Mierle)#ifndef CERES_INTERNAL_CGNR_SOLVER_H_#define CERES_INTERNAL_CGNR_SOLVER_H_#include <memory>#include "ceres/linear_solver.h"namespace ceres {namespace internal {class Preconditioner;class BlockJacobiPreconditioner;// A conjugate gradients on the normal equations solver. This directly solves// for the solution to////   (A^T A + D^T D)x = A^T b//// as required for solving for x in the least squares sense. Currently only// block diagonal preconditioning is supported.class CgnrSolver : public BlockSparseMatrixSolver { public:  explicit CgnrSolver(const LinearSolver::Options& options);  CgnrSolver(const CgnrSolver&) = delete;  void operator=(const CgnrSolver&) = delete;  virtual ~CgnrSolver();  Summary SolveImpl(BlockSparseMatrix* A,                    const double* b,                    const LinearSolver::PerSolveOptions& per_solve_options,                    double* x) final; private:  const LinearSolver::Options options_;  std::unique_ptr<Preconditioner> preconditioner_;};}  // namespace internal}  // namespace ceres#endif  // CERES_INTERNAL_CGNR_SOLVER_H_
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