| // Ceres Solver - A fast non-linear least squares minimizer |
| // Copyright 2023 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) |
| // |
| // Solve dense rectangular systems Ax = b by forming the normal |
| // equations and solving them using the Cholesky factorization. |
| |
| #ifndef CERES_INTERNAL_DENSE_NORMAL_CHOLESKY_SOLVER_H_ |
| #define CERES_INTERNAL_DENSE_NORMAL_CHOLESKY_SOLVER_H_ |
| |
| #include <memory> |
| |
| #include "ceres/dense_cholesky.h" |
| #include "ceres/internal/disable_warnings.h" |
| #include "ceres/internal/export.h" |
| #include "ceres/linear_solver.h" |
| |
| namespace ceres::internal { |
| |
| class DenseSparseMatrix; |
| |
| // This class implements the LinearSolver interface for solving |
| // rectangular/unsymmetric (well constrained) linear systems of the |
| // form |
| // |
| // Ax = b |
| // |
| // Since there does not usually exist a solution that satisfies these |
| // equations, the solver instead solves the linear least squares |
| // problem |
| // |
| // min_x |Ax - b|^2 |
| // |
| // Setting the gradient of the above optimization problem to zero |
| // gives us the normal equations |
| // |
| // A'Ax = A'b |
| // |
| // A'A is a positive definite matrix (hopefully), and the resulting |
| // linear system can be solved using Cholesky factorization. |
| // |
| // If the PerSolveOptions struct has a non-null array D, then the |
| // augmented/regularized linear system |
| // |
| // [ A ]x = [b] |
| // [ diag(D) ] [0] |
| // |
| // is solved. |
| // |
| // This class uses the LDLT factorization routines from the Eigen |
| // library. This solver always returns a solution, it is the user's |
| // responsibility to judge if the solution is good enough for their |
| // purposes. |
| class CERES_NO_EXPORT DenseNormalCholeskySolver |
| : public DenseSparseMatrixSolver { |
| public: |
| explicit DenseNormalCholeskySolver(LinearSolver::Options options); |
| |
| private: |
| LinearSolver::Summary SolveImpl( |
| DenseSparseMatrix* A, |
| const double* b, |
| const LinearSolver::PerSolveOptions& per_solve_options, |
| double* x) final; |
| |
| const LinearSolver::Options options_; |
| std::unique_ptr<DenseCholesky> cholesky_; |
| }; |
| |
| } // namespace ceres::internal |
| |
| #include "ceres/internal/reenable_warnings.h" |
| |
| #endif // CERES_INTERNAL_DENSE_NORMAL_CHOLESKY_SOLVER_H_ |