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move sparse solvers from unsupported/ to main Eigen/ and remove the "not stable yet" warning
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56
Eigen/src/SparseCore/SparseRedux.h
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56
Eigen/src/SparseCore/SparseRedux.h
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// This file is part of Eigen, a lightweight C++ template library
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// for linear algebra.
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//
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// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.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_SPARSEREDUX_H
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#define EIGEN_SPARSEREDUX_H
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template<typename Derived>
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typename internal::traits<Derived>::Scalar
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SparseMatrixBase<Derived>::sum() const
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{
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eigen_assert(rows()>0 && cols()>0 && "you are using a non initialized matrix");
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Scalar res = 0;
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for (Index j=0; j<outerSize(); ++j)
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for (typename Derived::InnerIterator iter(derived(),j); iter; ++iter)
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res += iter.value();
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return res;
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}
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template<typename _Scalar, int _Options, typename _Index>
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typename internal::traits<SparseMatrix<_Scalar,_Options,_Index> >::Scalar
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SparseMatrix<_Scalar,_Options,_Index>::sum() const
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{
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eigen_assert(rows()>0 && cols()>0 && "you are using a non initialized matrix");
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return Matrix<Scalar,1,Dynamic>::Map(&m_data.value(0), m_data.size()).sum();
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}
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template<typename _Scalar, int _Options, typename _Index>
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typename internal::traits<SparseVector<_Scalar,_Options, _Index> >::Scalar
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SparseVector<_Scalar,_Options,_Index>::sum() const
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{
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eigen_assert(rows()>0 && cols()>0 && "you are using a non initialized matrix");
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return Matrix<Scalar,1,Dynamic>::Map(&m_data.value(0), m_data.size()).sum();
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}
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#endif // EIGEN_SPARSEREDUX_H
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