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Eigen  3.4.0
 
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SparseRedux.h
1// This file is part of Eigen, a lightweight C++ template library
2// for linear algebra.
3//
4// Copyright (C) 2008-2014 Gael Guennebaud <gael.guennebaud@inria.fr>
5//
6// This Source Code Form is subject to the terms of the Mozilla
7// Public License v. 2.0. If a copy of the MPL was not distributed
8// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
9
10#ifndef EIGEN_SPARSEREDUX_H
11#define EIGEN_SPARSEREDUX_H
12
13namespace Eigen {
14
15template<typename Derived>
16typename internal::traits<Derived>::Scalar
17SparseMatrixBase<Derived>::sum() const
18{
19 eigen_assert(rows()>0 && cols()>0 && "you are using a non initialized matrix");
20 Scalar res(0);
21 internal::evaluator<Derived> thisEval(derived());
22 for (Index j=0; j<outerSize(); ++j)
23 for (typename internal::evaluator<Derived>::InnerIterator iter(thisEval,j); iter; ++iter)
24 res += iter.value();
25 return res;
26}
27
28template<typename _Scalar, int _Options, typename _Index>
29typename internal::traits<SparseMatrix<_Scalar,_Options,_Index> >::Scalar
31{
32 eigen_assert(rows()>0 && cols()>0 && "you are using a non initialized matrix");
33 if(this->isCompressed())
34 return Matrix<Scalar,1,Dynamic>::Map(m_data.valuePtr(), m_data.size()).sum();
35 else
36 return Base::sum();
37}
38
39template<typename _Scalar, int _Options, typename _Index>
40typename internal::traits<SparseVector<_Scalar,_Options, _Index> >::Scalar
42{
43 eigen_assert(rows()>0 && cols()>0 && "you are using a non initialized matrix");
44 return Matrix<Scalar,1,Dynamic>::Map(m_data.valuePtr(), m_data.size()).sum();
45}
46
47} // end namespace Eigen
48
49#endif // EIGEN_SPARSEREDUX_H
The matrix class, also used for vectors and row-vectors.
Definition: Matrix.h:180
A versatible sparse matrix representation.
Definition: SparseMatrix.h:98
a sparse vector class
Definition: SparseVector.h:66
Namespace containing all symbols from the Eigen library.
Definition: Core:141