| // Ceres Solver - A fast non-linear least squares minimizer | 
 | // Copyright 2015 Google Inc. All rights reserved. | 
 | // http://ceres-solver.org/ | 
 | // | 
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 | // modification, are permitted provided that the following conditions are met: | 
 | // | 
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 | //   this list of conditions and the following disclaimer. | 
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 | //   specific prior written permission. | 
 | // | 
 | // THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" | 
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 | // | 
 | // 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_ |