123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081 |
- // 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_DYNAMIC_SPARSE_NORMAL_CHOLESKY_SOLVER_H_
- #define CERES_INTERNAL_DYNAMIC_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 "ceres/internal/export.h"
- #include "ceres/linear_solver.h"
- namespace ceres::internal {
- class CompressedRowSparseMatrix;
- // A variant of SparseNormalCholeskySolver in the case where matrix
- // sparsity is not constant across calls to Solve. This means that
- // there is no benefit to symbolically factorizing the matrix and
- // caching this factorization.
- //
- // TODO(alex): Add support for Accelerate sparse solvers:
- // https://github.com/ceres-solver/ceres-solver/issues/397
- class CERES_NO_EXPORT DynamicSparseNormalCholeskySolver
- : public CompressedRowSparseMatrixSolver {
- public:
- explicit DynamicSparseNormalCholeskySolver(LinearSolver::Options options);
- private:
- LinearSolver::Summary SolveImpl(CompressedRowSparseMatrix* A,
- const double* b,
- const LinearSolver::PerSolveOptions& options,
- double* x) final;
- LinearSolver::Summary SolveImplUsingSuiteSparse(CompressedRowSparseMatrix* A,
- double* rhs_and_solution);
- LinearSolver::Summary SolveImplUsingCXSparse(CompressedRowSparseMatrix* A,
- double* rhs_and_solution);
- LinearSolver::Summary SolveImplUsingEigen(CompressedRowSparseMatrix* A,
- double* rhs_and_solution);
- const LinearSolver::Options options_;
- };
- } // namespace ceres::internal
- #endif // CERES_INTERNAL_DYNAMIC_SPARSE_NORMAL_CHOLESKY_SOLVER_H_
|