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91 lines
3.2 KiB
C
91 lines
3.2 KiB
C
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// This file is part of Eigen, a lightweight C++ template library
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// for linear algebra. Eigen itself is part of the KDE project.
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//
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// Copyright (C) 2008 Gael Guennebaud <g.gael@free.fr>
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//
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// Eigen is free software; you can redistribute it and/or
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// modify it under the terms of the GNU Lesser General Public
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// License as published by the Free Software Foundation; either
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// version 3 of the License, or (at your option) any later version.
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//
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// Alternatively, you can redistribute it and/or
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// modify it under the terms of the GNU General Public License as
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// published by the Free Software Foundation; either version 2 of
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// the License, or (at your option) any later version.
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//
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// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
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// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
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// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
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// GNU General Public License for more details.
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//
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// You should have received a copy of the GNU Lesser General Public
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// License and a copy of the GNU General Public License along with
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// Eigen. If not, see <http://www.gnu.org/licenses/>.
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#ifndef EIGEN_TAUCSSUPPORT_H
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#define EIGEN_TAUCSSUPPORT_H
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template<typename Scalar, int Flags>
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taucs_ccs_matrix SparseMatrix<Scalar,Flags>::asTaucsMatrix()
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{
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taucs_ccs_matrix res;
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res.n = cols();
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res.m = rows();
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res.flags = 0;
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res.colptr = _outerIndexPtr();
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res.rowind = _innerIndexPtr();
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res.values.v = _valuePtr();
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if (ei_is_same_type<Scalar,int>::ret)
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res.flags |= TAUCS_INT;
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else if (ei_is_same_type<Scalar,float>::ret)
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res.flags |= TAUCS_SINGLE;
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else if (ei_is_same_type<Scalar,double>::ret)
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res.flags |= TAUCS_DOUBLE;
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else if (ei_is_same_type<Scalar,std::complex<float> >::ret)
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res.flags |= TAUCS_SCOMPLEX;
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else if (ei_is_same_type<Scalar,std::complex<double> >::ret)
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res.flags |= TAUCS_DCOMPLEX;
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else
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{
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ei_assert(false && "Scalar type not supported by TAUCS");
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}
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if (Flags & Upper)
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res.flags |= TAUCS_UPPER;
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if (Flags & Lower)
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res.flags |= TAUCS_LOWER;
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if (Flags & SelfAdjoint)
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res.flags |= (NumTraits<Scalar>::IsComplex ? TAUCS_HERMITIAN : TAUCS_SYMMETRIC);
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else if ((Flags & Upper) || (Flags & Lower))
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res.flags |= TAUCS_TRIANGULAR;
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return res;
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}
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template<typename Scalar, int Flags>
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SparseMatrix<Scalar,Flags> SparseMatrix<Scalar,Flags>::Map(taucs_ccs_matrix& taucsMat)
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{
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SparseMatrix res;
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res.m_innerSize = taucsMat.m;
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res.m_outerSize = taucsMat.n;
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res.m_outerIndex = taucsMat.colptr;
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SparseArray<Scalar> data = SparseArray<Scalar>::Map(
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taucsMat.rowind,
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reinterpret_cast<Scalar*>(taucsMat.values.v),
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taucsMat.colptr[taucsMat.n]);
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res.m_data.swap(data);
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// res.markAsRValue();
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return res;
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}
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template<typename MatrixType>
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void SparseCholesky<MatrixType>::computeUsingTaucs(const MatrixType& a)
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{
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taucs_ccs_matrix taucsMatA = const_cast<MatrixType&>(a).asTaucsMatrix();
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taucs_ccs_matrix* taucsRes = taucs_ccs_factor_llt(&taucsMatA, 0, 0);
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m_matrix = CholMatrixType::Map(*taucsRes);
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free(taucsRes);
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}
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#endif // EIGEN_TAUCSSUPPORT_H
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