diff options
Diffstat (limited to 'extern/ceres/internal/ceres/block_sparse_matrix.h')
-rw-r--r-- | extern/ceres/internal/ceres/block_sparse_matrix.h | 102 |
1 files changed, 83 insertions, 19 deletions
diff --git a/extern/ceres/internal/ceres/block_sparse_matrix.h b/extern/ceres/internal/ceres/block_sparse_matrix.h index 2f9afb738f8..d0c255de612 100644 --- a/extern/ceres/internal/ceres/block_sparse_matrix.h +++ b/extern/ceres/internal/ceres/block_sparse_matrix.h @@ -34,11 +34,10 @@ #ifndef CERES_INTERNAL_BLOCK_SPARSE_MATRIX_H_ #define CERES_INTERNAL_BLOCK_SPARSE_MATRIX_H_ +#include <memory> #include "ceres/block_structure.h" #include "ceres/sparse_matrix.h" #include "ceres/internal/eigen.h" -#include "ceres/internal/macros.h" -#include "ceres/internal/scoped_ptr.h" namespace ceres { namespace internal { @@ -64,34 +63,99 @@ class BlockSparseMatrix : public SparseMatrix { explicit BlockSparseMatrix(CompressedRowBlockStructure* block_structure); BlockSparseMatrix(); + BlockSparseMatrix(const BlockSparseMatrix&) = delete; + void operator=(const BlockSparseMatrix&) = delete; + virtual ~BlockSparseMatrix(); // Implementation of SparseMatrix interface. - virtual void SetZero(); - virtual void RightMultiply(const double* x, double* y) const; - virtual void LeftMultiply(const double* x, double* y) const; - virtual void SquaredColumnNorm(double* x) const; - virtual void ScaleColumns(const double* scale); - virtual void ToDenseMatrix(Matrix* dense_matrix) const; - virtual void ToTextFile(FILE* file) const; - - virtual int num_rows() const { return num_rows_; } - virtual int num_cols() const { return num_cols_; } - virtual int num_nonzeros() const { return num_nonzeros_; } - virtual const double* values() const { return values_.get(); } - virtual double* mutable_values() { return values_.get(); } + void SetZero() final; + void RightMultiply(const double* x, double* y) const final; + void LeftMultiply(const double* x, double* y) const final; + void SquaredColumnNorm(double* x) const final; + void ScaleColumns(const double* scale) final; + void ToDenseMatrix(Matrix* dense_matrix) const final; + void ToTextFile(FILE* file) const final; + + 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(); } void ToTripletSparseMatrix(TripletSparseMatrix* matrix) const; const CompressedRowBlockStructure* 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 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. + // + // Caller owns the result. + static BlockSparseMatrix* CreateRandomMatrix( + const RandomMatrixOptions& options); + private: int num_rows_; int num_cols_; - int max_num_nonzeros_; int num_nonzeros_; - scoped_array<double> values_; - scoped_ptr<CompressedRowBlockStructure> block_structure_; - CERES_DISALLOW_COPY_AND_ASSIGN(BlockSparseMatrix); + int max_num_nonzeros_; + std::unique_ptr<double[]> values_; + std::unique_ptr<CompressedRowBlockStructure> 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 BlockSparseMatrixData { + public: + 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_; }; } // namespace internal |