| // 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 |
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| // 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 using the QR factorization. |
| #ifndef CERES_INTERNAL_DENSE_QR_SOLVER_H_ |
| #define CERES_INTERNAL_DENSE_QR_SOLVER_H_ |
| |
| #include "ceres/linear_solver.h" |
| #include "ceres/internal/eigen.h" |
| #include "ceres/internal/macros.h" |
| |
| namespace ceres { |
| namespace 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 |
| // |
| // The solution strategy is based on computing the QR decomposition of |
| // A, i.e. |
| // |
| // A = QR |
| // |
| // Where Q is an orthonormal matrix and R is an upper triangular |
| // matrix. Then |
| // |
| // Ax = b |
| // QRx = b |
| // Q'QRx = Q'b |
| // Rx = Q'b |
| // x = R^{-1} Q'b |
| // |
| // 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 dense QR 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 DenseQRSolver: public DenseSparseMatrixSolver { |
| public: |
| explicit DenseQRSolver(const LinearSolver::Options& options); |
| |
| private: |
| virtual LinearSolver::Summary SolveImpl( |
| DenseSparseMatrix* A, |
| const double* b, |
| const LinearSolver::PerSolveOptions& per_solve_options, |
| double* x); |
| |
| LinearSolver::Summary SolveUsingEigen( |
| DenseSparseMatrix* A, |
| const double* b, |
| const LinearSolver::PerSolveOptions& per_solve_options, |
| double* x); |
| |
| LinearSolver::Summary SolveUsingLAPACK( |
| DenseSparseMatrix* A, |
| const double* b, |
| const LinearSolver::PerSolveOptions& per_solve_options, |
| double* x); |
| |
| const LinearSolver::Options options_; |
| ColMajorMatrix lhs_; |
| Vector rhs_; |
| Vector work_; |
| CERES_DISALLOW_COPY_AND_ASSIGN(DenseQRSolver); |
| }; |
| |
| } // namespace internal |
| } // namespace ceres |
| |
| #endif // CERES_INTERNAL_DENSE_QR_SOLVER_H_ |