[SciPy-Dev] GSoC'18 participation?

[Eric Larson]

I have personally run into the need for such transformations in two
separate domains (3D visualization, neuroscience / electrophysiology) and I
know it's used in multiple other places, too. So I think it would be
sufficiently general. I'd look forward to having it in SciPy!

I'd be happy to be a secondary mentor on this if you (or someone else)
wants to be primary.

Best,
Eric


On Fri, Jan 19, 2018 at 10:11 AM, Nikolay Mayorov <nikolay.mayorov at zoho.com>
wrote:

> Hi!
>
> I have this idea, which I'm well familiar with. The module would be called
> like scipy.spatial.rotation and be devoted to the rotation formalism in 3
> dimensions.
>
> The main objects are Euler angles (and their variations), direction cosine
> matrices, quaternions and rotation vectors. We can go with an abstraction
> class Rotation (using DCMs or Qs internally), but we should be able to
> create that from any representation and see it in any representation. In
> spirit of scipy/numpy we use vectorized/bulk approaches (i.e. many
> rotations in single Rotation class).
>
> Rotation should support 2 operations: compose 2 consecutive rotations and
> rotate/project a 3d vector.  Of course all procedures must be 100% robust
> and there are some fine points, especially in conversions between
> representations.
> Also we can add some algorithms, like: quaternion interpolation (SLERP),
> least-squares vector matching by a rotation (Whabba's problem), more
> advanced and less known algotithms for rotation interpolation, and I will
> try to come up with something more.
>
> Overall it seems reasonably straightforward , but with enough challenges
> in design and implementation
>
> As currently described, it might be not enough volume for the GSoC, but we
> can develop it farther.
>
> Also I'm not sure if its applicability is broad enough to include it into
> scipy. I believe similar functionality is available in Aerospace toolbox in
> Matlab. I want to hear some opinions on that.
>
> Nikolay
>
>
> ---- On Wed, 10 Jan 2018 17:02:33 +0500 * jomsdev at gmail.com
> <jomsdev at gmail.com> * wrote ----
>
> Hi all,
>
> Last year I started implementing some methods for Randomized Numerical
> Linear Algebra (RNLA) in scipy.
> By now it is only the CountMin Sketch (clarkson_woodruff_transformation)
> for reducing the dimensionality of a vector space to an embedded space.
>
> I think that it would be interesting to add to scipy other methods for
> subspace embedding (like the Johnson-Lindenstrauss) and build some
> algorithms on top of it for things like least squeres or low rank
> approximation.
>
> Would some other people be interesting in this?
>
>
> PS: I have a project called RandNLA <https://github.com/jomsdev/randNLA>
> where I implemented some of the methods of RNLA. The idea is to implement
> only the most important methods of RNLA in scipy and have this other
> library for experimenting with new methods and APIs. That will let us not
> overloading scipy with features if people are not interested in them and
> focus on the ones that really brings value to the community.
>
> Thanks,
>
> Jordi.
>
> On 10 January 2018 at 10:42, Ralf Gommers <ralf.gommers at gmail.com> wrote:
>
> Hi all,
>
> The GSoC schedule is a bit earlier than normal this year. The PSF is
> asking for ideas pages to be up and in decent shape by Jan 19th. So we'll
> need to come up with some content quick if we want to participate.
>
> Who is interested in mentoring this year?
>
> I'm happy to do the admin again, but probably won't have time to mentor.
>
> Cheers,
> Ralf
>
>
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