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Sameer Agarwal5c2fd052017-04-11 06:32:37 -07001// Ceres Solver - A fast non-linear least squares minimizer
2// Copyright 2017 Google Inc. All rights reserved.
3// http://ceres-solver.org/
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: sameeragarwal@google.com (Sameer Agarwal)
30//
31// A solver for sparse linear least squares problem based on solving
32// the normal equations via a sparse cholesky factorization.
33
34#ifndef CERES_INTERNAL_DYNAMIC_SPARSE_NORMAL_CHOLESKY_SOLVER_H_
35#define CERES_INTERNAL_DYNAMIC_SPARSE_NORMAL_CHOLESKY_SOLVER_H_
36
37// This include must come before any #ifndef check on Ceres compile options.
Nikolaus Demmel7b8f6752020-09-20 21:45:24 +020038// clang-format off
Sergiu Deitschf90833f2022-02-07 23:43:19 +010039#include "ceres/internal/config.h"
Nikolaus Demmel7b8f6752020-09-20 21:45:24 +020040// clang-format on
Sameer Agarwal5c2fd052017-04-11 06:32:37 -070041
Sergiu Deitschf90833f2022-02-07 23:43:19 +010042#include "ceres/internal/export.h"
Sameer Agarwal5c2fd052017-04-11 06:32:37 -070043#include "ceres/linear_solver.h"
44
Sameer Agarwalcaf614a2022-04-21 17:41:10 -070045namespace ceres::internal {
Sameer Agarwal5c2fd052017-04-11 06:32:37 -070046
47class CompressedRowSparseMatrix;
48
49// A variant of SparseNormalCholeskySolver in the case where matrix
50// sparsity is not constant across calls to Solve. This means that
51// there is no benefit to symbolically factorizing the matrix and
52// caching this factorization.
Alex Stewart8f41ca62018-06-23 20:17:34 +010053//
54// TODO(alex): Add support for Accelerate sparse solvers:
55// https://github.com/ceres-solver/ceres-solver/issues/397
Sergiu Deitschf90833f2022-02-07 23:43:19 +010056class CERES_NO_EXPORT DynamicSparseNormalCholeskySolver
Sameer Agarwal5c2fd052017-04-11 06:32:37 -070057 : public CompressedRowSparseMatrixSolver {
58 public:
Sergiu Deitschc8658c82022-02-20 02:22:17 +010059 explicit DynamicSparseNormalCholeskySolver(LinearSolver::Options options);
Sameer Agarwal5c2fd052017-04-11 06:32:37 -070060
61 private:
Nikolaus Demmel7b8f6752020-09-20 21:45:24 +020062 LinearSolver::Summary SolveImpl(CompressedRowSparseMatrix* A,
63 const double* b,
64 const LinearSolver::PerSolveOptions& options,
65 double* x) final;
Sameer Agarwal5c2fd052017-04-11 06:32:37 -070066
Nikolaus Demmel7b8f6752020-09-20 21:45:24 +020067 LinearSolver::Summary SolveImplUsingSuiteSparse(CompressedRowSparseMatrix* A,
68 double* rhs_and_solution);
Sameer Agarwal5c2fd052017-04-11 06:32:37 -070069
Nikolaus Demmel7b8f6752020-09-20 21:45:24 +020070 LinearSolver::Summary SolveImplUsingCXSparse(CompressedRowSparseMatrix* A,
71 double* rhs_and_solution);
Sameer Agarwal5c2fd052017-04-11 06:32:37 -070072
Nikolaus Demmel7b8f6752020-09-20 21:45:24 +020073 LinearSolver::Summary SolveImplUsingEigen(CompressedRowSparseMatrix* A,
74 double* rhs_and_solution);
Sameer Agarwal5c2fd052017-04-11 06:32:37 -070075
76 const LinearSolver::Options options_;
Sameer Agarwal5c2fd052017-04-11 06:32:37 -070077};
78
Sameer Agarwalcaf614a2022-04-21 17:41:10 -070079} // namespace ceres::internal
Sameer Agarwal5c2fd052017-04-11 06:32:37 -070080
81#endif // CERES_INTERNAL_DYNAMIC_SPARSE_NORMAL_CHOLESKY_SOLVER_H_