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Sameer Agarwal02706c12013-05-12 22:07:55 -07001// Ceres Solver - A fast non-linear least squares minimizer
2// Copyright 2013 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
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26// ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
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29// Author: sameeragarwal@google.com (Sameer Agarwal)
30
31#ifndef CERES_INTERNAL_COVARIANCE_IMPL_H_
32#define CERES_INTERNAL_COVARIANCE_IMPL_H_
33
34#include <map>
35#include <set>
36#include <utility>
37#include <vector>
38#include "ceres/covariance.h"
39#include "ceres/internal/scoped_ptr.h"
40#include "ceres/problem_impl.h"
41#include "ceres/suitesparse.h"
42
43namespace ceres {
44
45namespace internal {
46
47class CompressedRowSparseMatrix;
48
49class CovarianceImpl {
50 public:
51 explicit CovarianceImpl(const Covariance::Options& options);
52 ~CovarianceImpl();
53
54 bool Compute(
Sameer Agarwalbcc865f2014-12-17 07:35:09 -080055 const std::vector<std::pair<const double*,
56 const double*> >& covariance_blocks,
Sameer Agarwal02706c12013-05-12 22:07:55 -070057 ProblemImpl* problem);
58
59 bool GetCovarianceBlock(const double* parameter_block1,
60 const double* parameter_block2,
61 double* covariance_block) const;
62
63 bool ComputeCovarianceSparsity(
Sameer Agarwalbcc865f2014-12-17 07:35:09 -080064 const std::vector<std::pair<const double*,
65 const double*> >& covariance_blocks,
Sameer Agarwal02706c12013-05-12 22:07:55 -070066 ProblemImpl* problem);
67
68 bool ComputeCovarianceValues();
Sameer Agarwal5a974712013-06-07 22:38:30 -070069 bool ComputeCovarianceValuesUsingDenseSVD();
Sameer Agarwal060a8502014-07-15 08:52:35 -070070 bool ComputeCovarianceValuesUsingSuiteSparseQR();
Mike Vitus0bbb48a2014-07-08 15:11:22 -070071 bool ComputeCovarianceValuesUsingEigenSparseQR();
Sameer Agarwal02706c12013-05-12 22:07:55 -070072
73 const CompressedRowSparseMatrix* covariance_matrix() const {
74 return covariance_matrix_.get();
75 }
76
77 private:
78 ProblemImpl* problem_;
79 Covariance::Options options_;
80 Problem::EvaluateOptions evaluate_options_;
Sameer Agarwaldf012562013-05-21 10:59:54 -070081 bool is_computed_;
82 bool is_valid_;
Sameer Agarwalbcc865f2014-12-17 07:35:09 -080083 std::map<const double*, int> parameter_block_to_row_index_;
84 std::set<const double*> constant_parameter_blocks_;
Sameer Agarwal02706c12013-05-12 22:07:55 -070085 scoped_ptr<CompressedRowSparseMatrix> covariance_matrix_;
Sameer Agarwal02706c12013-05-12 22:07:55 -070086};
87
88} // namespace internal
89} // namespace ceres
90
91#endif // CERES_INTERNAL_COVARIANCE_IMPL_H_