// Ceres Solver - A fast non-linear least squares minimizer // Copyright 2010, 2011, 2012 Google Inc. All rights reserved. // http://code.google.com/p/ceres-solver/ // // 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) // // Implementation of the SparseMatrix interface for block sparse // matrices. #ifndef CERES_INTERNAL_BLOCK_SPARSE_MATRIX_H_ #define CERES_INTERNAL_BLOCK_SPARSE_MATRIX_H_ #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 { class SparseMatrixProto; class TripletSparseMatrix; // A further extension of the SparseMatrix interface to support block-oriented // matrices. The key addition is the RowBlockValues() accessor, which enables // the lazy block sparse matrix implementation. class BlockSparseMatrixBase : public SparseMatrix { public: BlockSparseMatrixBase() {} virtual ~BlockSparseMatrixBase() {} // Convert this matrix into a triplet sparse matrix. virtual void ToTripletSparseMatrix(TripletSparseMatrix* matrix) const = 0; // Returns a pointer to the block structure. Does not transfer // ownership. virtual const CompressedRowBlockStructure* block_structure() const = 0; // Returns a pointer to a row of the matrix. The returned array is only valid // until the next call to RowBlockValues. The caller does not own the result. // // The returned array is laid out such that cells on the specified row are // contiguous in the returned array, though neighbouring cells in row order // may not be contiguous in the row values. The cell values for cell // (row_block, cell_block) are found at offset // // block_structure()->rows[row_block].cells[cell_block].position // virtual const double* RowBlockValues(int row_block_index) const = 0; private: CERES_DISALLOW_COPY_AND_ASSIGN(BlockSparseMatrixBase); }; // 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 BlockSparseMatrix : public BlockSparseMatrixBase { 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); // Construct a block sparse matrix from a protocol buffer. #ifndef CERES_NO_PROTOCOL_BUFFERS explicit BlockSparseMatrix(const SparseMatrixProto& proto); #endif BlockSparseMatrix(); 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; #ifndef CERES_NO_PROTOCOL_BUFFERS virtual void ToProto(SparseMatrixProto* proto) const; #endif 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(); } // Implementation of BlockSparseMatrixBase interface. virtual void ToTripletSparseMatrix(TripletSparseMatrix* matrix) const; virtual const CompressedRowBlockStructure* block_structure() const; virtual const double* RowBlockValues(int row_block_index) const { return values_.get(); } 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); }; } // namespace internal } // namespace ceres #endif // CERES_INTERNAL_BLOCK_SPARSE_MATRIX_H_