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// Ceres Solver - A fast non-linear least squares minimizer
// Copyright 2010, 2011, 2012 Google Inc. All rights reserved.
// http://code.google.com/p/ceres-solver/
//
// 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
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//
// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
// AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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// CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
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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_
#include "ceres/cxsparse.h"
#include "ceres/linear_solver.h"
#include "ceres/internal/macros.h"
#include "ceres/suitesparse.h"
namespace ceres {
namespace internal {
class CompressedRowSparseMatrix;
// Solves the normal equations (A'A + D'D) x = A'b, using the CHOLMOD sparse
// cholesky solver.
class SparseNormalCholeskySolver : public CompressedRowSparseMatrixSolver {
public:
explicit SparseNormalCholeskySolver(const LinearSolver::Options& options);
virtual ~SparseNormalCholeskySolver();
private:
virtual LinearSolver::Summary SolveImpl(
CompressedRowSparseMatrix* A,
const double* b,
const LinearSolver::PerSolveOptions& options,
double* x);
LinearSolver::Summary SolveImplUsingSuiteSparse(
CompressedRowSparseMatrix* A,
const double* b,
const LinearSolver::PerSolveOptions& options,
double* x);
// Crashes if CSparse is not installed.
LinearSolver::Summary SolveImplUsingCXSparse(
CompressedRowSparseMatrix* A,
const double* b,
const LinearSolver::PerSolveOptions& options,
double* x);
#ifndef CERES_NO_SUITESPARSE
SuiteSparse ss_;
// Cached factorization
cholmod_factor* factor_;
#endif // CERES_NO_SUITESPARSE
#ifndef CERES_NO_CXSPARSE
CXSparse cxsparse_;
// Cached factorization
cs_dis* cxsparse_factor_;
#endif // CERES_NO_CXSPARSE
const LinearSolver::Options options_;
CERES_DISALLOW_COPY_AND_ASSIGN(SparseNormalCholeskySolver);
};
} // namespace internal
} // namespace ceres
#endif // CERES_INTERNAL_SPARSE_NORMAL_CHOLESKY_SOLVER_H_