- sparse double result: use S.' * double(D)
- sparse single result: not permitted. sparse matrices can only be double precision or logical
- full double result: use full(S.' * double(D))
- full single result: use full(S.' * D)
Multiplication of sparse matrix and a normal matrix
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Amit Chakraborty
on 25 Sep 2021
Answered: Amit Chakraborty
on 25 Sep 2021
I have a Sparse Matrix : S
The size of S is : 196608x4096 sparse double
and the normal (Non Sparse) matrix : D
The size of D is : 196608x1 single
Matrix D is full of one . [ means : D= ones(196608,1 )]
I want to multiply them both >> transpose(S)* D;
But showing me some error :
- " Error using .* Sparse single array arithmetic operations are not supported."
- " Error using * MTIMES (*) is not supported for one sparse argument and one single argument "
Even I tried to convert the matrix D into sparse but showing me following error :
" Error using sparse Input matrix must be double or logical".
Any kind of suggestions to solve this problem will be appreciated.
Thank You !!!
Happy Weekend !!!
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Accepted Answer
Walter Roberson
on 25 Sep 2021
You are trying to multiply a sparse double precision matrix by a non-sparse single precision matrix.
If you are expecting:
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More Answers (2)
David Goodmanson
on 25 Sep 2021
Hi Amit,
sum(S)'
where the result is still sparse, or
full(sum(S)')
if you want a regular vector at that point.
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