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							- // 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: sameeragarwal@google.com (Sameer Agarwal)
 
- //
 
- // Block structure objects are used to carry information about the
 
- // dense block structure of sparse matrices. The BlockSparseMatrix
 
- // object uses the BlockStructure objects to keep track of the matrix
 
- // structure and operate upon it. This allows us to use more cache
 
- // friendly block oriented linear algebra operations on the matrix
 
- // instead of accessing it one scalar entry at a time.
 
- #ifndef CERES_INTERNAL_BLOCK_STRUCTURE_H_
 
- #define CERES_INTERNAL_BLOCK_STRUCTURE_H_
 
- #include <cstdint>
 
- #include <vector>
 
- #include "ceres/internal/port.h"
 
- namespace ceres {
 
- namespace internal {
 
- typedef int32_t BlockSize;
 
- struct Block {
 
-   Block() : size(-1), position(-1) {}
 
-   Block(int size_, int position_) : size(size_), position(position_) {}
 
-   BlockSize size;
 
-   int position;  // Position along the row/column.
 
- };
 
- struct Cell {
 
-   Cell() : block_id(-1), position(-1) {}
 
-   Cell(int block_id_, int position_)
 
-       : block_id(block_id_), position(position_) {}
 
-   // Column or row block id as the case maybe.
 
-   int block_id;
 
-   // Where in the values array of the jacobian is this cell located.
 
-   int position;
 
- };
 
- // Order cell by their block_id;
 
- bool CellLessThan(const Cell& lhs, const Cell& rhs);
 
- struct CompressedList {
 
-   CompressedList() {}
 
-   // Construct a CompressedList with the cells containing num_cells
 
-   // entries.
 
-   CompressedList(int num_cells) : cells(num_cells) {}
 
-   Block block;
 
-   std::vector<Cell> cells;
 
- };
 
- typedef CompressedList CompressedRow;
 
- typedef CompressedList CompressedColumn;
 
- struct CompressedRowBlockStructure {
 
-   std::vector<Block> cols;
 
-   std::vector<CompressedRow> rows;
 
- };
 
- struct CompressedColumnBlockStructure {
 
-   std::vector<Block> rows;
 
-   std::vector<CompressedColumn> cols;
 
- };
 
- }  // namespace internal
 
- }  // namespace ceres
 
- #endif  // CERES_INTERNAL_BLOCK_STRUCTURE_H_
 
 
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