Keir Mierle | e2a6cdc | 2012-05-07 06:39:56 -0700 | [diff] [blame] | 1 | // Ceres Solver - A fast non-linear least squares minimizer |
| 2 | // Copyright 2012 Google Inc. All rights reserved. |
| 3 | // http://code.google.com/p/ceres-solver/ |
| 4 | // |
| 5 | // Redistribution and use in source and binary forms, with or without |
| 6 | // modification, are permitted provided that the following conditions are met: |
| 7 | // |
| 8 | // * Redistributions of source code must retain the above copyright notice, |
| 9 | // this list of conditions and the following disclaimer. |
| 10 | // * Redistributions in binary form must reproduce the above copyright notice, |
| 11 | // this list of conditions and the following disclaimer in the documentation |
| 12 | // and/or other materials provided with the distribution. |
| 13 | // * Neither the name of Google Inc. nor the names of its contributors may be |
| 14 | // used to endorse or promote products derived from this software without |
| 15 | // specific prior written permission. |
| 16 | // |
| 17 | // THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" |
| 18 | // AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE |
| 19 | // IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE |
| 20 | // ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE |
| 21 | // LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR |
| 22 | // CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF |
| 23 | // SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS |
| 24 | // INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN |
| 25 | // CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) |
| 26 | // ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE |
| 27 | // POSSIBILITY OF SUCH DAMAGE. |
| 28 | // |
| 29 | // Author: keir@google.com (Keir Mierle) |
| 30 | |
| 31 | #ifndef CERES_INTERNAL_BLOCK_JACOBI_PRECONDITIONER_H_ |
| 32 | #define CERES_INTERNAL_BLOCK_JACOBI_PRECONDITIONER_H_ |
| 33 | |
| 34 | #include <vector> |
| 35 | #include "ceres/linear_operator.h" |
| 36 | |
| 37 | namespace ceres { |
| 38 | namespace internal { |
| 39 | |
| 40 | class CompressedRowBlockStructure; |
| 41 | class LinearOperator; |
| 42 | class SparseMatrix; |
| 43 | |
| 44 | // A block Jacobi preconditioner. This is intended for use with conjugate |
| 45 | // gradients, or other iterative symmetric solvers. To use the preconditioner, |
| 46 | // create one by passing a BlockSparseMatrix as the linear operator "A" to the |
| 47 | // constructor. This fixes the sparsity pattern to the pattern of the matrix |
| 48 | // A^TA. |
| 49 | // |
| 50 | // Before each use of the preconditioner in a solve with conjugate gradients, |
| 51 | // update the matrix by running Update(A, D). The values of the matrix A are |
| 52 | // inspected to construct the preconditioner. The vector D is applied as the |
| 53 | // D^TD diagonal term. |
| 54 | class BlockJacobiPreconditioner : public LinearOperator { |
| 55 | public: |
| 56 | // A must remain valid while the BlockJacobiPreconditioner is. |
| 57 | BlockJacobiPreconditioner(const LinearOperator& A); |
| 58 | virtual ~BlockJacobiPreconditioner(); |
| 59 | |
| 60 | // Update the preconditioner with the values found in A. The sparsity pattern |
| 61 | // must match that of the A passed to the constructor. D is a vector that |
| 62 | // must have the same number of rows as A, and is applied as a diagonal in |
| 63 | // addition to the block diagonals of A. |
| 64 | void Update(const LinearOperator& A, const double* D); |
| 65 | |
| 66 | // LinearOperator interface. |
| 67 | virtual void RightMultiply(const double* x, double* y) const; |
| 68 | virtual void LeftMultiply(const double* x, double* y) const; |
| 69 | virtual int num_rows() const { return num_rows_; } |
| 70 | virtual int num_cols() const { return num_rows_; } |
| 71 | |
| 72 | private: |
| 73 | std::vector<double*> blocks_; |
| 74 | std::vector<double> block_storage_; |
| 75 | int num_rows_; |
| 76 | |
| 77 | // The block structure of the matrix this preconditioner is for (e.g. J). |
| 78 | const CompressedRowBlockStructure& block_structure_; |
| 79 | }; |
| 80 | |
| 81 | } // namespace internal |
| 82 | } // namespace ceres |
| 83 | |
| 84 | #endif // CERES_INTERNAL_BLOCK_JACOBI_PRECONDITIONER_H_ |