#ifndef EIGEN_SPARSEREDUX_H
#define EIGEN_SPARSEREDUX_H
namespace Eigen {
template<typename Derived>
typename internal::traits<Derived>::Scalar
SparseMatrixBase<Derived>::sum() const
{
eigen_assert(rows()>0 && cols()>0 && "you are using a non initialized matrix");
Scalar res(0);
internal::evaluator<Derived> thisEval(derived());
for (Index j=0; j<outerSize(); ++j)
for (typename internal::evaluator<Derived>::InnerIterator iter(thisEval,j); iter; ++iter)
res += iter.value();
return res;
}
template<typename _Scalar, int _Options, typename _Index>
typename internal::traits<SparseMatrix<_Scalar,_Options,_Index> >::Scalar
SparseMatrix<_Scalar,_Options,_Index>::sum() const
{
eigen_assert(rows()>0 && cols()>0 && "you are using a non initialized matrix");
if(this->isCompressed())
return Matrix<Scalar,1,Dynamic>::Map(m_data.valuePtr(), m_data.size()).sum();
else
return Base::sum();
}
template<typename _Scalar, int _Options, typename _Index>
typename internal::traits<SparseVector<_Scalar,_Options, _Index> >::Scalar
SparseVector<_Scalar,_Options,_Index>::sum() const
{
eigen_assert(rows()>0 && cols()>0 && "you are using a non initialized matrix");
return Matrix<Scalar,1,Dynamic>::Map(m_data.valuePtr(), m_data.size()).sum();
}
}
#endif