#ifndef EIGEN_SPARSEREDUX_H
#define EIGEN_SPARSEREDUX_H
#include "./InternalHeaderCheck.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