| // Ceres Solver - A fast non-linear least squares minimizer |
| // Copyright 2022 Google Inc. All rights reserved. |
| // http://ceres-solver.org/ |
| // |
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| // modification, are permitted provided that the following conditions are met: |
| // |
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| // |
| // THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" |
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| // |
| // Author: sameeragarwal@google.com (Sameer Agarwal) |
| // |
| // Implementation of the SparseMatrix interface for block sparse |
| // matrices. |
| |
| #ifndef CERES_INTERNAL_BLOCK_SPARSE_MATRIX_H_ |
| #define CERES_INTERNAL_BLOCK_SPARSE_MATRIX_H_ |
| |
| #include <memory> |
| #include <random> |
| |
| #include "ceres/block_structure.h" |
| #include "ceres/compressed_row_sparse_matrix.h" |
| #include "ceres/context_impl.h" |
| #include "ceres/internal/disable_warnings.h" |
| #include "ceres/internal/eigen.h" |
| #include "ceres/internal/export.h" |
| #include "ceres/sparse_matrix.h" |
| |
| namespace ceres::internal { |
| |
| class TripletSparseMatrix; |
| |
| // This class implements the SparseMatrix interface for storing and |
| // manipulating block sparse matrices. The block structure is stored |
| // in the CompressedRowBlockStructure object and one is needed to |
| // initialize the matrix. For details on how the blocks structure of |
| // the matrix is stored please see the documentation |
| // |
| // internal/ceres/block_structure.h |
| // |
| class CERES_NO_EXPORT BlockSparseMatrix final : public SparseMatrix { |
| public: |
| // Construct a block sparse matrix with a fully initialized |
| // CompressedRowBlockStructure objected. The matrix takes over |
| // ownership of this object and destroys it upon destruction. |
| // |
| // TODO(sameeragarwal): Add a function which will validate legal |
| // CompressedRowBlockStructure objects. |
| explicit BlockSparseMatrix(CompressedRowBlockStructure* block_structure); |
| |
| BlockSparseMatrix(const BlockSparseMatrix&) = delete; |
| void operator=(const BlockSparseMatrix&) = delete; |
| |
| // Implementation of SparseMatrix interface. |
| void SetZero() final; |
| void RightMultiplyAndAccumulate(const double* x, double* y) const final; |
| void RightMultiplyAndAccumulate(const double* x, |
| double* y, |
| ContextImpl* context, |
| int num_threads) const final; |
| void LeftMultiplyAndAccumulate(const double* x, double* y) const final; |
| void SquaredColumnNorm(double* x) const final; |
| void ScaleColumns(const double* scale) final; |
| void ToCompressedRowSparseMatrix(CompressedRowSparseMatrix* matrix) const; |
| void ToDenseMatrix(Matrix* dense_matrix) const final; |
| void ToTextFile(FILE* file) const final; |
| |
| void AddTransposeBlockStructure(); |
| |
| // clang-format off |
| int num_rows() const final { return num_rows_; } |
| int num_cols() const final { return num_cols_; } |
| int num_nonzeros() const final { return num_nonzeros_; } |
| const double* values() const final { return values_.get(); } |
| double* mutable_values() final { return values_.get(); } |
| // clang-format on |
| |
| void ToTripletSparseMatrix(TripletSparseMatrix* matrix) const; |
| const CompressedRowBlockStructure* block_structure() const; |
| const CompressedRowBlockStructure* transpose_block_structure() const; |
| |
| // Append the contents of m to the bottom of this matrix. m must |
| // have the same column blocks structure as this matrix. |
| void AppendRows(const BlockSparseMatrix& m); |
| |
| // Delete the bottom delta_rows_blocks. |
| void DeleteRowBlocks(int delta_row_blocks); |
| |
| static std::unique_ptr<BlockSparseMatrix> CreateDiagonalMatrix( |
| const double* diagonal, const std::vector<Block>& column_blocks); |
| |
| struct RandomMatrixOptions { |
| int num_row_blocks = 0; |
| int min_row_block_size = 0; |
| int max_row_block_size = 0; |
| int num_col_blocks = 0; |
| int min_col_block_size = 0; |
| int max_col_block_size = 0; |
| |
| // 0 < block_density <= 1 is the probability of a block being |
| // present in the matrix. A given random matrix will not have |
| // precisely this density. |
| double block_density = 0.0; |
| |
| // If col_blocks is non-empty, then the generated random matrix |
| // has this block structure and the column related options in this |
| // struct are ignored. |
| std::vector<Block> col_blocks; |
| }; |
| |
| // Create a random BlockSparseMatrix whose entries are normally |
| // distributed and whose structure is determined by |
| // RandomMatrixOptions. |
| static std::unique_ptr<BlockSparseMatrix> CreateRandomMatrix( |
| const RandomMatrixOptions& options, std::mt19937& prng); |
| |
| private: |
| int num_rows_; |
| int num_cols_; |
| int num_nonzeros_; |
| int max_num_nonzeros_; |
| std::unique_ptr<double[]> values_; |
| std::unique_ptr<CompressedRowBlockStructure> block_structure_; |
| std::unique_ptr<CompressedRowBlockStructure> transpose_block_structure_; |
| }; |
| |
| // A number of algorithms like the SchurEliminator do not need |
| // access to the full BlockSparseMatrix interface. They only |
| // need read only access to the values array and the block structure. |
| // |
| // BlockSparseDataMatrix a struct that carries these two bits of |
| // information |
| class CERES_NO_EXPORT BlockSparseMatrixData { |
| public: |
| explicit BlockSparseMatrixData(const BlockSparseMatrix& m) |
| : block_structure_(m.block_structure()), values_(m.values()){}; |
| |
| BlockSparseMatrixData(const CompressedRowBlockStructure* block_structure, |
| const double* values) |
| : block_structure_(block_structure), values_(values) {} |
| |
| const CompressedRowBlockStructure* block_structure() const { |
| return block_structure_; |
| } |
| const double* values() const { return values_; } |
| |
| private: |
| const CompressedRowBlockStructure* block_structure_; |
| const double* values_; |
| }; |
| |
| std::unique_ptr<CompressedRowBlockStructure> CreateTranspose( |
| const CompressedRowBlockStructure& bs); |
| |
| } // namespace ceres::internal |
| |
| #include "ceres/internal/reenable_warnings.h" |
| |
| #endif // CERES_INTERNAL_BLOCK_SPARSE_MATRIX_H_ |