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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
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// LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
// CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
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// Author: keir@google.com (Keir Mierle)
#ifndef CERES_INTERNAL_BLOCK_JACOBI_PRECONDITIONER_H_
#define CERES_INTERNAL_BLOCK_JACOBI_PRECONDITIONER_H_
#include <memory>
#include "ceres/block_random_access_diagonal_matrix.h"
#include "ceres/internal/disable_warnings.h"
#include "ceres/internal/export.h"
#include "ceres/preconditioner.h"
namespace ceres::internal {
class BlockSparseMatrix;
class CompressedRowSparseMatrix;
// A block Jacobi preconditioner. This is intended for use with
// conjugate gradients, or other iterative symmetric solvers.
// This version of the preconditioner is for use with BlockSparseMatrix
// Jacobians.
class CERES_NO_EXPORT BlockSparseJacobiPreconditioner
: public BlockSparseMatrixPreconditioner {
public:
// A must remain valid while the BlockJacobiPreconditioner is.
explicit BlockSparseJacobiPreconditioner(Preconditioner::Options,
const BlockSparseMatrix& A);
~BlockSparseJacobiPreconditioner() override;
void RightMultiplyAndAccumulate(const double* x, double* y) const final {
return m_->RightMultiplyAndAccumulate(x, y);
}
int num_rows() const final { return m_->num_rows(); }
int num_cols() const final { return m_->num_rows(); }
const BlockRandomAccessDiagonalMatrix& matrix() const { return *m_; }
private:
bool UpdateImpl(const BlockSparseMatrix& A, const double* D) final;
Preconditioner::Options options_;
std::unique_ptr<BlockRandomAccessDiagonalMatrix> m_;
};
// This version of the preconditioner is for use with CompressedRowSparseMatrix
// Jacobians.
class CERES_NO_EXPORT BlockCRSJacobiPreconditioner
: public CompressedRowSparseMatrixPreconditioner {
public:
// A must remain valid while the BlockJacobiPreconditioner is.
explicit BlockCRSJacobiPreconditioner(Preconditioner::Options options,
const CompressedRowSparseMatrix& A);
~BlockCRSJacobiPreconditioner() override;
void RightMultiplyAndAccumulate(const double* x, double* y) const final {
m_->RightMultiplyAndAccumulate(x, y);
}
int num_rows() const final { return m_->num_rows(); }
int num_cols() const final { return m_->num_rows(); }
const CompressedRowSparseMatrix& matrix() const { return *m_; }
private:
bool UpdateImpl(const CompressedRowSparseMatrix& A, const double* D) final;
Preconditioner::Options options_;
std::vector<std::mutex> locks_;
std::unique_ptr<CompressedRowSparseMatrix> m_;
};
} // namespace ceres::internal
#include "ceres/internal/reenable_warnings.h"
#endif // CERES_INTERNAL_BLOCK_JACOBI_PRECONDITIONER_H_