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// Ceres Solver - A fast non-linear least squares minimizer
// Copyright 2017 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
// SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
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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.
#include "ceres/internal/port.h"
#include <vector>
#include "ceres/linear_solver.h"
namespace ceres {
namespace 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 SparseNormalCholeskySolver : public BlockSparseMatrixSolver {
public:
explicit SparseNormalCholeskySolver(const LinearSolver::Options& options);
SparseNormalCholeskySolver(const SparseNormalCholeskySolver&) = delete;
void operator=(const SparseNormalCholeskySolver&) = delete;
virtual ~SparseNormalCholeskySolver();
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 internal
} // namespace ceres
#endif // CERES_INTERNAL_SPARSE_NORMAL_CHOLESKY_SOLVER_H_