FYI
https://github.com/optimatika/ojAlgo/wiki/Sparse-Matrices
ojAlgo's sparse capabilities have been greatly improved with some recent updates.
> On 29 May 2016, at 23:13, Anders Peterson <an...@op...> wrote:
>
> I just checked in some changes that may interest you:
>
>
> 1) The multiply-method in MatrixStore
>
> PhysicalStore<N> multiply(Access1D<N>, PhysicalStore<N>)
>
> has changed to
>
> void multiply(Access1D<N>, ElementsConsumer<N>)
>
>
> 2) SparseStore now implements ElementsConsumer
>
>
> Those two changes in combination essentially makes it possible to do what you asked:
>
> a.fillByMultiplying(Cf.transpose(), Yf));
>
> or
>
> Cf.transpose().multiply(Yf, a);
>
>
>
> I have not implemented any new multiplication algorithm, but the existing ones already to some extent exploit sparsity/structures.
>
>
>
>> On 22 maj 2016, at 17:04, Anders Peterson <an...@op...> wrote:
>>
>> ojAlgo does not support that (yet).
>>
>>
>>> On 21 maj 2016, at 16:31, Santiago Peñate Vera <san...@gm...> wrote:
>>>
>>> Hi,
>>>
>>> I am starting with OjAlgo and I find that the multiplication of 2 sparse
>>> matrices returns a full matrix (or so says netbeans)
>>>
>>> Here Cf and Yf are sparse matrices and I need their multiplication:
>>>
>>> SparseStore a = Cf.transpose().multiply(Yf);
>>>
>>> How do I do a sparse multiplication with OjAlgo?
>>>
>>> Thanks
>>>
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>> bring their own devices (BYOD) to work are irked by the imposition of MDM
>> restrictions. Mobile Device Manager Plus allows you to control only the
>> apps on BYO-devices by containerizing them, leaving personal data untouched!
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