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Support for sum of matrix elements
Hi Blaze team,
It would be nice to have a function sum similar to the one of Matlab.
It could be represented as
sum<rowVector>(Matrix m)
returning a row vector of the size of m.rows() and
sum<columnVector>(Matrix m)
returning a column vector of the size of m.columns()
A quick unoptimized solution would be to add something like below the following to blaze/math/Matrix.h
template< bool TF, typename MT, bool SO > inline auto sum( const Matrix<MT,SO>& m ) { constexpr bool isRowVector = (TF == rowVector); const size_t ibegin = 0UL; const size_t iend = (~m).rows(); const size_t jbegin = 0UL; const size_t jend = (~m).columns(); using ET = ElementType_<MT>; DynamicVector<ET, TF> tmp((isRowVector)?jend:iend, 0); if (isRowVector) { for (size_t i = ibegin; i < iend; ++i) { for (size_t j = jbegin; j < jend; ++j) { tmp[j] += (~m)(i,j); } } } else { for (size_t i = ibegin; i < iend; ++i) { for (size_t j = jbegin; j < jend; ++j) { tmp[i] += (~m)(i,j); } } } return tmp; }
However, there are certainly more efficient way to do it using blaze internals, like direct row or column summation instead of elements (below), or specialization for matrix adaptors/types by using properly templates.
for (size_t i = ibegin; i < iend; ++i) tmp += row(~m, i);
for (size_t j = jbegin; j < jend; ++j) tmp += column(~m, j);
Comments (5)


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Hi Fabien!
Thanks for your proposal. This is indeed a missing, but very important feature. Therefore we already have it on your agenda (see issue #4). We hope that we can deal with this as soon as possible and that your solution works for the time being.
Since the idea is already captured in issue #4 we close this issue as a duplicate. Please feel free to vote for the other issue. Again, thanks a lot for your proposal,
Best regards,
Klaus!

 changed status to duplicate
Duplicate of
#4.  Log in to comment