SparseRedux.h
Go to the documentation of this file.00001 // This file is part of Eigen, a lightweight C++ template library 00002 // for linear algebra. Eigen itself is part of the KDE project. 00003 // 00004 // Copyright (C) 2008 Gael Guennebaud <g.gael@free.fr> 00005 // 00006 // Eigen is free software; you can redistribute it and/or 00007 // modify it under the terms of the GNU Lesser General Public 00008 // License as published by the Free Software Foundation; either 00009 // version 3 of the License, or (at your option) any later version. 00010 // 00011 // Alternatively, you can redistribute it and/or 00012 // modify it under the terms of the GNU General Public License as 00013 // published by the Free Software Foundation; either version 2 of 00014 // the License, or (at your option) any later version. 00015 // 00016 // Eigen is distributed in the hope that it will be useful, but WITHOUT ANY 00017 // WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS 00018 // FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the 00019 // GNU General Public License for more details. 00020 // 00021 // You should have received a copy of the GNU Lesser General Public 00022 // License and a copy of the GNU General Public License along with 00023 // Eigen. If not, see <http://www.gnu.org/licenses/>. 00024 00025 #ifndef EIGEN_SPARSEREDUX_H 00026 #define EIGEN_SPARSEREDUX_H 00027 00028 template<typename Derived> 00029 typename ei_traits<Derived>::Scalar 00030 SparseMatrixBase<Derived>::sum() const 00031 { 00032 ei_assert(rows()>0 && cols()>0 && "you are using a non initialized matrix"); 00033 Scalar res = 0; 00034 for (int j=0; j<outerSize(); ++j) 00035 for (typename Derived::InnerIterator iter(derived(),j); iter; ++iter) 00036 res += iter.value(); 00037 return res; 00038 } 00039 00040 #endif // EIGEN_SPARSEREDUX_H