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- // Ceres Solver - A fast non-linear least squares minimizer
- // Copyright 2023 Google Inc. All rights reserved.
- // http://ceres-solver.org/
- //
- // Redistribution and use in source and binary forms, with or without
- // modification, are permitted provided that the following conditions are met:
- //
- // * Redistributions of source code must retain the above copyright notice,
- // this list of conditions and the following disclaimer.
- // * Redistributions in binary form must reproduce the above copyright notice,
- // this list of conditions and the following disclaimer in the documentation
- // and/or other materials provided with the distribution.
- // * Neither the name of Google Inc. nor the names of its contributors may be
- // used to endorse or promote products derived from this software without
- // specific prior written permission.
- //
- // THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
- // AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
- // IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
- // ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE
- // LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
- // CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
- // SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
- // INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
- // CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
- // ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
- // POSSIBILITY OF SUCH DAMAGE.
- //
- // Author: sameeragarwal@google.com (Sameer Agarwal)
- //
- // A solver for sparse linear least squares problem based on solving
- // the normal equations via a sparse cholesky factorization.
- #ifndef CERES_INTERNAL_SPARSE_NORMAL_CHOLESKY_SOLVER_H_
- #define CERES_INTERNAL_SPARSE_NORMAL_CHOLESKY_SOLVER_H_
- // This include must come before any #ifndef check on Ceres compile options.
- // clang-format off
- #include "ceres/internal/config.h"
- // clang-format on
- #include <memory>
- #include <vector>
- #include "ceres/internal/export.h"
- #include "ceres/linear_solver.h"
- namespace ceres::internal {
- class CompressedRowSparseMatrix;
- class InnerProductComputer;
- class SparseCholesky;
- // Solves the normal equations (A'A + D'D) x = A'b, using the sparse
- // linear algebra library of the user's choice.
- class CERES_NO_EXPORT SparseNormalCholeskySolver
- : public BlockSparseMatrixSolver {
- public:
- explicit SparseNormalCholeskySolver(const LinearSolver::Options& options);
- SparseNormalCholeskySolver(const SparseNormalCholeskySolver&) = delete;
- void operator=(const SparseNormalCholeskySolver&) = delete;
- ~SparseNormalCholeskySolver() override;
- private:
- LinearSolver::Summary SolveImpl(BlockSparseMatrix* A,
- const double* b,
- const LinearSolver::PerSolveOptions& options,
- double* x) final;
- const LinearSolver::Options options_;
- Vector rhs_;
- std::unique_ptr<SparseCholesky> sparse_cholesky_;
- std::unique_ptr<InnerProductComputer> inner_product_computer_;
- };
- } // namespace ceres::internal
- #endif // CERES_INTERNAL_SPARSE_NORMAL_CHOLESKY_SOLVER_H_
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