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// Ceres Solver - A fast non-linear least squares minimizer
// Copyright 2023 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
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// 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)
#ifndef CERES_INTERNAL_BLOCK_RANDOM_ACCESS_DIAGONAL_MATRIX_H_
#define CERES_INTERNAL_BLOCK_RANDOM_ACCESS_DIAGONAL_MATRIX_H_
#include <memory>
#include <utility>
#include "ceres/block_random_access_matrix.h"
#include "ceres/block_structure.h"
#include "ceres/compressed_row_sparse_matrix.h"
#include "ceres/context_impl.h"
#include "ceres/internal/disable_warnings.h"
#include "ceres/internal/export.h"
#include "ceres/types.h"
namespace ceres::internal {
// A BlockRandomAccessMatrix which only stores the block diagonal.
// BlockRandomAccessSparseMatrix can also be used to do this, but this class is
// more efficient in time and in space.
class CERES_NO_EXPORT BlockRandomAccessDiagonalMatrix
: public BlockRandomAccessMatrix {
public:
// blocks is an array of block sizes.
BlockRandomAccessDiagonalMatrix(const std::vector<Block>& blocks,
ContextImpl* context,
int num_threads);
~BlockRandomAccessDiagonalMatrix() override = default;
// BlockRandomAccessMatrix Interface.
CellInfo* GetCell(int row_block_id,
int col_block_id,
int* row,
int* col,
int* row_stride,
int* col_stride) final;
// m = 0
void SetZero() final;
// m = m^{-1}
void Invert();
// y += m * x
void RightMultiplyAndAccumulate(const double* x, double* y) const;
// Since the matrix is square, num_rows() == num_cols().
int num_rows() const final { return m_->num_rows(); }
int num_cols() const final { return m_->num_cols(); }
const CompressedRowSparseMatrix* matrix() const { return m_.get(); }
CompressedRowSparseMatrix* mutable_matrix() { return m_.get(); }
private:
ContextImpl* context_ = nullptr;
const int num_threads_ = 1;
std::unique_ptr<CompressedRowSparseMatrix> m_;
std::unique_ptr<CellInfo[]> layout_;
};
} // namespace ceres::internal
#include "ceres/internal/reenable_warnings.h"
#endif // CERES_INTERNAL_BLOCK_RANDOM_ACCESS_DIAGONAL_MATRIX_H_