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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)
- #ifndef CERES_INTERNAL_BLOCK_RANDOM_ACCESS_DENSE_MATRIX_H_
- #define CERES_INTERNAL_BLOCK_RANDOM_ACCESS_DENSE_MATRIX_H_
- #include <memory>
- #include <vector>
- #include "ceres/block_random_access_matrix.h"
- #include "ceres/block_structure.h"
- #include "ceres/context_impl.h"
- #include "ceres/internal/disable_warnings.h"
- #include "ceres/internal/export.h"
- namespace ceres::internal {
- // A square block random accessible matrix with the same row and
- // column block structure. All cells are stored in the same single
- // array, so that its also accessible as a dense matrix of size
- // num_rows x num_cols.
- //
- // This class is NOT thread safe. Since all n^2 cells are stored,
- // GetCell never returns nullptr for any (row_block_id, col_block_id)
- // pair.
- //
- // ReturnCell is a nop.
- class CERES_NO_EXPORT BlockRandomAccessDenseMatrix
- : public BlockRandomAccessMatrix {
- public:
- // blocks is a vector of block sizes. The resulting matrix has
- // blocks.size() * blocks.size() cells.
- explicit BlockRandomAccessDenseMatrix(std::vector<Block> blocks,
- ContextImpl* context,
- int num_threads);
- ~BlockRandomAccessDenseMatrix() override = default;
- // BlockRandomAccessMatrix interface.
- CellInfo* GetCell(int row_block_id,
- int col_block_id,
- int* row,
- int* col,
- int* row_stride,
- int* col_stride) final;
- void SetZero() final;
- // Since the matrix is square with the same row and column block
- // structure, num_rows() = num_cols().
- int num_rows() const final { return num_rows_; }
- int num_cols() const final { return num_rows_; }
- // The underlying matrix storing the cells.
- const double* values() const { return values_.get(); }
- double* mutable_values() { return values_.get(); }
- private:
- std::vector<Block> blocks_;
- ContextImpl* context_ = nullptr;
- int num_threads_ = -1;
- int num_rows_ = -1;
- std::unique_ptr<double[]> values_;
- std::unique_ptr<CellInfo[]> cell_infos_;
- };
- } // namespace ceres::internal
- #include "ceres/internal/reenable_warnings.h"
- #endif // CERES_INTERNAL_BLOCK_RANDOM_ACCESS_DENSE_MATRIX_H_
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