[SciPy-Dev] GSOC'18 : Enhance the Randomized Numerical Linear Algebra functionality

[Ralf Gommers]

On Sun, Mar 25, 2018 at 5:31 AM, Chaman Agrawal <chaman.ag at gmail.com> wrote:

> Hello Ralf,
>
> It's unfortunate to hear this but I was expecting this as I am really late
> .Then will Scipy will have only two projects for GSoC this year ? I don't
> think I should ask this but still, do you have any idea other than those
> mentioned in the ideas page for GSoC?
>

At the moment there are no other ideas for which we have mentors already
available, sorry.

Ralf



>
> Thankyou
> Chaman Agrawal
>
> On Sun, Mar 25, 2018 at 12:41 PM, Ralf Gommers <ralf.gommers at gmail.com>
> wrote:
>
>>
>>
>> On Sat, Mar 24, 2018 at 12:54 AM, Chaman Agrawal <chaman.ag at gmail.com>
>> wrote:
>>
>>> Hello everyone,
>>>
>>> Goal of the mail : To understand better about the current status about
>>> the project and suggestions/resources to speed up my research for it.
>>>
>>> I am a second year undergraduate at Indian Institute of Technology
>>> Kanpur,India highly interested in Linear Algebra ,Probability Theory and
>>> Statistics and algorithms in general.
>>>
>>
>> Hi Chaman. Yes there are a couple of strong candidates already:
>> https://github.com/scipy/scipy/issues/8498#issuecomment-370731126. And
>> you're quite late to get started on this project - I would suggest your
>> time is better spent looking for other opportunities.
>>
>> Ralf
>>
>>
>>
>>>
>>> Before sending this I went through the emails archive to avoid asking
>>> any redundant question but I was not able to get discussion about this
>>> project. Is this project not open or there are already some strong
>>> candidates whose discussions I was not able to find? I wanted to ask for a
>>> more detailed description about the project compared to what is there in
>>> the Ideas page.
>>>
>>> I had a few doubts like by both  Clarkson Woodruff transformation and
>>> Johnson–Lindenstrauss lemma we get benefit of dimension reduction so will
>>> this project be more focused on dimension reduction techniques or other
>>> randomized techniques like subsampled Hadamard Transform Matrix
>>> <https://arxiv.org/pdf/1204.0062.pdf> etc.
>>>
>>> Also if there is a list of desired algorithms to be implemented it would
>>> be a great speed booster.
>>>
>>> Thank you,
>>> Chaman Agrawal
>>> Indian Institute of Technology Kanpur,India
>>>
>>>
>>> _______________________________________________
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>>> SciPy-Dev at python.org
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>>>
>>>
>>
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>
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