| 123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990 | // Ceres Solver - A fast non-linear least squares minimizer// Copyright 2017 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)//// A simple C++ interface to the Eigen's Sparse Cholesky routines.#ifndef CERES_INTERNAL_EIGENSPARSE_H_#define CERES_INTERNAL_EIGENSPARSE_H_// This include must come before any #ifndef check on Ceres compile options.#include "ceres/internal/port.h"#ifdef CERES_USE_EIGEN_SPARSE#include <memory>#include <string>#include "Eigen/SparseCore"#include "ceres/linear_solver.h"#include "ceres/sparse_cholesky.h"namespace ceres {namespace internal {class EigenSparseCholesky : public SparseCholesky { public:  // Factory  static std::unique_ptr<SparseCholesky> Create(      const OrderingType ordering_type);  // SparseCholesky interface.  virtual ~EigenSparseCholesky();  virtual LinearSolverTerminationType Factorize(      CompressedRowSparseMatrix* lhs, std::string* message) = 0;  virtual CompressedRowSparseMatrix::StorageType StorageType() const = 0;  virtual LinearSolverTerminationType Solve(const double* rhs,                                            double* solution,                                            std::string* message) = 0;};// Even though the input is double precision linear system, this class// solves it by computing a single precision Cholesky factorization.class FloatEigenSparseCholesky : public SparseCholesky { public:  // Factory  static std::unique_ptr<SparseCholesky> Create(      const OrderingType ordering_type);  // SparseCholesky interface.  virtual ~FloatEigenSparseCholesky();  virtual LinearSolverTerminationType Factorize(      CompressedRowSparseMatrix* lhs, std::string* message) = 0;  virtual CompressedRowSparseMatrix::StorageType StorageType() const = 0;  virtual LinearSolverTerminationType Solve(const double* rhs,                                            double* solution,                                            std::string* message) = 0;};}  // namespace internal}  // namespace ceres#endif  // CERES_USE_EIGEN_SPARSE#endif  // CERES_INTERNAL_EIGENSPARSE_H_
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