// Ceres Solver - A fast non-linear least squares minimizer // Copyright 2015 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: keir@google.com (Keir Mierle) // // A dense matrix implemented under the SparseMatrix interface. #ifndef CERES_INTERNAL_DENSE_SPARSE_MATRIX_H_ #define CERES_INTERNAL_DENSE_SPARSE_MATRIX_H_ #include "ceres/sparse_matrix.h" #include "ceres/internal/eigen.h" #include "ceres/internal/macros.h" #include "ceres/internal/scoped_ptr.h" #include "ceres/types.h" namespace ceres { namespace internal { class TripletSparseMatrix; class DenseSparseMatrix : public SparseMatrix { public: // Build a matrix with the same content as the TripletSparseMatrix // m. This assumes that m does not have any repeated entries. explicit DenseSparseMatrix(const TripletSparseMatrix& m); explicit DenseSparseMatrix(const ColMajorMatrix& m); DenseSparseMatrix(int num_rows, int num_cols); DenseSparseMatrix(int num_rows, int num_cols, bool reserve_diagonal); virtual ~DenseSparseMatrix() {} // 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; virtual int num_cols() const; virtual int num_nonzeros() const; virtual const double* values() const { return m_.data(); } virtual double* mutable_values() { return m_.data(); } ConstColMajorMatrixRef matrix() const; ColMajorMatrixRef mutable_matrix(); // Only one diagonal can be appended at a time. The diagonal is appended to // as a new set of rows, e.g. // // Original matrix: // // x x x // x x x // x x x // // After append diagonal (1, 2, 3): // // x x x // x x x // x x x // 1 0 0 // 0 2 0 // 0 0 3 // // Calling RemoveDiagonal removes the block. It is a fatal error to append a // diagonal to a matrix that already has an appended diagonal, and it is also // a fatal error to remove a diagonal from a matrix that has none. void AppendDiagonal(double *d); void RemoveDiagonal(); private: ColMajorMatrix m_; bool has_diagonal_appended_; bool has_diagonal_reserved_; }; } // namespace internal } // namespace ceres #endif // CERES_INTERNAL_DENSE_SPARSE_MATRIX_H_