130 lines
5.0 KiB
C++
130 lines
5.0 KiB
C++
// Ceres Solver - A fast non-linear least squares minimizer
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// Copyright 2015 Google Inc. All rights reserved.
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// http://ceres-solver.org/
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//
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// Redistribution and use in source and binary forms, with or without
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// modification, are permitted provided that the following conditions are met:
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//
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// * Redistributions of source code must retain the above copyright notice,
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// this list of conditions and the following disclaimer.
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// * Redistributions in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// and/or other materials provided with the distribution.
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// * Neither the name of Google Inc. nor the names of its contributors may be
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// used to endorse or promote products derived from this software without
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// specific prior written permission.
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//
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// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
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// AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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// IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
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// ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE
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// LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
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// CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
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// SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
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// INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
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// CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
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// ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
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// POSSIBILITY OF SUCH DAMAGE.
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//
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// Author: sameeragarwal@google.com (Sameer Agarwal)
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#ifndef CERES_INTERNAL_BLOCK_RANDOM_ACCESS_SPARSE_MATRIX_H_
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#define CERES_INTERNAL_BLOCK_RANDOM_ACCESS_SPARSE_MATRIX_H_
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#include <set>
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#include <vector>
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#include <utility>
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#include "ceres/mutex.h"
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#include "ceres/block_random_access_matrix.h"
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#include "ceres/collections_port.h"
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#include "ceres/triplet_sparse_matrix.h"
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#include "ceres/integral_types.h"
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#include "ceres/internal/macros.h"
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#include "ceres/internal/port.h"
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#include "ceres/internal/scoped_ptr.h"
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#include "ceres/types.h"
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#include "ceres/small_blas.h"
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namespace ceres {
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namespace internal {
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// A thread safe square block sparse implementation of
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// BlockRandomAccessMatrix. Internally a TripletSparseMatrix is used
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// for doing the actual storage. This class augments this matrix with
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// an unordered_map that allows random read/write access.
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class BlockRandomAccessSparseMatrix : public BlockRandomAccessMatrix {
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public:
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// blocks is an array of block sizes. block_pairs is a set of
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// <row_block_id, col_block_id> pairs to identify the non-zero cells
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// of this matrix.
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BlockRandomAccessSparseMatrix(
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const std::vector<int>& blocks,
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const std::set<std::pair<int, int> >& block_pairs);
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// The destructor is not thread safe. It assumes that no one is
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// modifying any cells when the matrix is being destroyed.
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virtual ~BlockRandomAccessSparseMatrix();
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// BlockRandomAccessMatrix Interface.
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virtual CellInfo* GetCell(int row_block_id,
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int col_block_id,
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int* row,
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int* col,
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int* row_stride,
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int* col_stride);
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// This is not a thread safe method, it assumes that no cell is
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// locked.
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virtual void SetZero();
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// Assume that the matrix is symmetric and only one half of the
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// matrix is stored.
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//
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// y += S * x
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void SymmetricRightMultiply(const double* x, double* y) const;
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// Since the matrix is square, num_rows() == num_cols().
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virtual int num_rows() const { return tsm_->num_rows(); }
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virtual int num_cols() const { return tsm_->num_cols(); }
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// Access to the underlying matrix object.
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const TripletSparseMatrix* matrix() const { return tsm_.get(); }
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TripletSparseMatrix* mutable_matrix() { return tsm_.get(); }
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private:
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int64 IntPairToLong(int row, int col) const {
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return row * kMaxRowBlocks + col;
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}
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void LongToIntPair(int64 index, int* row, int* col) const {
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*row = index / kMaxRowBlocks;
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*col = index % kMaxRowBlocks;
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}
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const int64 kMaxRowBlocks;
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// row/column block sizes.
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const std::vector<int> blocks_;
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std::vector<int> block_positions_;
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// A mapping from <row_block_id, col_block_id> to the position in
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// the values array of tsm_ where the block is stored.
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typedef HashMap<long int, CellInfo* > LayoutType;
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LayoutType layout_;
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// In order traversal of contents of the matrix. This allows us to
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// implement a matrix-vector which is 20% faster than using the
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// iterator in the Layout object instead.
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std::vector<std::pair<std::pair<int, int>, double*> > cell_values_;
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// The underlying matrix object which actually stores the cells.
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scoped_ptr<TripletSparseMatrix> tsm_;
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friend class BlockRandomAccessSparseMatrixTest;
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CERES_DISALLOW_COPY_AND_ASSIGN(BlockRandomAccessSparseMatrix);
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};
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} // namespace internal
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} // namespace ceres
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#endif // CERES_INTERNAL_BLOCK_RANDOM_ACCESS_SPARSE_MATRIX_H_
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