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Keir Mierlee2a6cdc2012-05-07 06:39:56 -07001// 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"
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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
37namespace ceres {
38namespace internal {
39
40class CompressedRowBlockStructure;
41class LinearOperator;
42class 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.
54class 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_