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Re: bsxfun and sparse matrices in Matlab
From: |
PhilipNienhuis |
Subject: |
Re: bsxfun and sparse matrices in Matlab |
Date: |
Mon, 3 Oct 2011 08:15:11 -0700 (PDT) |
Jordi Gutiérrez Hermoso-2 wrote:
>
> While testing more things about auto BSX, I noticed that I missed to
> overload the operators for sparse matrices, and while investigating
> *that*, it seems like bsxfun destroys sparsity. While this may make
> sense for some operators (e.g. power operators), I wanted to confirm
> if this is what Matlab does.
>
> Can someone please confirm if the following does not produce sparse
> matrices?
>
> x = sprand(1,3,1/3); y = x';
> bsxfun(@plus, x, y)
> bsxfun(@minus, x, y)
> bsxfun(@times, x, y)
> bsxfun(@rdivide, x, y)
> bsxfun(@ldivide, x, y)
> bsxfun(@power, x, y)
>
>
At work (ML r2009a):
>> x = sprand(1,3,1/3); y = x'
y =
(3,1) 0.1270
>> issparse (bsxfun(@plus, x, y)
ans =
1
>> issparse (bsxfun(@minus, x, y))
ans =
1
>> issparse (bsxfun(@times, x, y))
ans =
1
>> issparse (bsxfun(@rdivide, x, y))
ans =
1
>> issparse (bsxfun(@ldivide, x, y))
ans =
1
>> issparse (bsxfun(@power, x, y))
ans =
1
(empty lines removed)
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