Files
ceres-solver/internal/ceres/sparse_cholesky.cc
T
Sameer Agarwal 29c21f5680 Add SparseCholesky
SparseCholesky is an interface to sparse cholesky factorization
routines across sparse linear algebra libraries. Each sparse
linear algebra library is responsible for implementing its own
instance of this interface.

As a result the various places - SparseNormalCholeskySolver,
SparseSchurComplementSolver and VisibilityBasedPreconditioner
are significantly simplified.

Change-Id: I8b465705eae83bba9e1adfffcc741a05c70faf2e
2017-05-24 00:00:25 -07:00

101 lines
3.7 KiB
C++

// 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
// 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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// POSSIBILITY OF SUCH DAMAGE.
//
// Author: sameeragarwal@google.com (Sameer Agarwal)
#include "ceres/sparse_cholesky.h"
#include "ceres/cxsparse.h"
#include "ceres/eigensparse.h"
#include "ceres/suitesparse.h"
namespace ceres {
namespace internal {
SparseCholesky* SparseCholesky::Create(
SparseLinearAlgebraLibraryType sparse_linear_algebra_library_type,
OrderingType ordering_type) {
switch (sparse_linear_algebra_library_type) {
case SUITE_SPARSE:
#ifndef CERES_NO_SUITESPARSE
return SuiteSparseCholesky::Create(ordering_type);
#else
LOG(FATAL) << "Ceres was compiled without support for SuiteSparse.";
return NULL;
#endif
case EIGEN_SPARSE:
#ifdef CERES_USE_EIGEN_SPARSE
return EigenSparseCholesky::Create(ordering_type);
#else
LOG(FATAL) << "Ceres was compiled without support for "
<< "Eigen's sparse Cholesky factorization routines.";
return NULL;
#endif
case CX_SPARSE:
#ifndef CERES_NO_CXSPARSE
return CXSparseCholesky::Create(ordering_type);
#else
LOG(FATAL) << "Ceres was compiled without support for CXSparse.";
return NULL;
#endif
default:
LOG(FATAL) << "Unknown sparse linear algebra library type : "
<< SparseLinearAlgebraLibraryTypeToString(
sparse_linear_algebra_library_type);
}
return NULL;
}
SparseCholesky::~SparseCholesky() {}
LinearSolverTerminationType SparseCholesky::FactorAndSolve(
CompressedRowSparseMatrix* lhs,
const double* rhs,
double* solution,
std::string* message) {
LinearSolverTerminationType termination_type = Factorize(lhs, message);
if (termination_type == LINEAR_SOLVER_SUCCESS) {
termination_type = Solve(rhs, solution, message);
}
return termination_type;
}
CompressedRowSparseMatrix::StorageType StorageTypeForSparseLinearAlgebraLibrary(
SparseLinearAlgebraLibraryType sparse_linear_algebra_library_type) {
if (sparse_linear_algebra_library_type == SUITE_SPARSE) {
return CompressedRowSparseMatrix::UPPER_TRIANGULAR;
}
return CompressedRowSparseMatrix::LOWER_TRIANGULAR;
}
} // namespace internal
} // namespace ceres