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// Ceres Solver - A fast non-linear least squares minimizer
// Copyright 2023 Google Inc. All rights reserved.
// http://ceres-solver.org/
//
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// modification, are permitted provided that the following conditions are met:
//
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// 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.
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// Author: sameeragarwal@google.com (Sameer Agarwal)
//
// A solver for sparse linear least squares problem based on solving
// the normal equations via a sparse cholesky factorization.
#ifndef CERES_INTERNAL_SPARSE_NORMAL_CHOLESKY_SOLVER_H_
#define CERES_INTERNAL_SPARSE_NORMAL_CHOLESKY_SOLVER_H_
// This include must come before any #ifndef check on Ceres compile options.
// clang-format off
#include "ceres/internal/config.h"
// clang-format on
#include <memory>
#include <vector>
#include "ceres/internal/export.h"
#include "ceres/linear_solver.h"
namespace ceres::internal {
class CompressedRowSparseMatrix;
class InnerProductComputer;
class SparseCholesky;
// Solves the normal equations (A'A + D'D) x = A'b, using the sparse
// linear algebra library of the user's choice.
class CERES_NO_EXPORT SparseNormalCholeskySolver
: public BlockSparseMatrixSolver {
public:
explicit SparseNormalCholeskySolver(const LinearSolver::Options& options);
SparseNormalCholeskySolver(const SparseNormalCholeskySolver&) = delete;
void operator=(const SparseNormalCholeskySolver&) = delete;
~SparseNormalCholeskySolver() override;
private:
LinearSolver::Summary SolveImpl(BlockSparseMatrix* A,
const double* b,
const LinearSolver::PerSolveOptions& options,
double* x) final;
const LinearSolver::Options options_;
Vector rhs_;
std::unique_ptr<SparseCholesky> sparse_cholesky_;
std::unique_ptr<InnerProductComputer> inner_product_computer_;
};
} // namespace ceres::internal
#endif // CERES_INTERNAL_SPARSE_NORMAL_CHOLESKY_SOLVER_H_