Yes, I was thinking of converting the braid words to DT codes and then once
this is achieved we can get the Alexander's polynomial (this was achieved
in knotaltas) and I guess if one of the invariants is obtained converting
them into others might not be a heavy task(I am not completely sure of the
algorithms though but I guess this can be achieved). I have gone through
knotscape (not completely though) and have started working on converting
given braid word representation into DT codes for a start.


On Thu, Feb 27, 2014 at 11:31 PM, Miguel Angel Marco <
[email protected]> wrote:

> Maybe making a c library out of knotscape, interfacing it and wrap it in a
> class would be a good way to approach this project. But then again, there
> are more software available for similar tasks. Comparing and choosing the
> best option could also be interesting.
>
>>
>> IMHO a good and timely project would be knot recognition, a la
>> knotscape. It seems that the only present alternatives to knotscape
>> are Mathematica packages. Knotscape also computes polynomial invariants,
>> so this
>> would be a nice feature to get them properly as polynomials rather
>> than as lists of coefficients...
>>
>> Incorporating parts of knotscape into Sage looks doable, as this is
>> plain C code. True that it is old, but this does not make it less
>> viable.
>>
>> Dima
>>
>>
>>
>>
>> >
>> > If you have any further questions, please ask.
>> >
>> > El jueves, 27 de febrero de 2014 03:44:41 UTC+1, [email protected]
>> > escribió:
>> >>
>> >> Just saw the GSOC announcement - awesome stuff!
>> >>
>> >> My name is Andrew Silver, I'm an undergraduate mathematics major at
>> the
>> >> University of Florida (Gainseville, FL).
>> >> I currently do numerical/statistical work in computer vision: I'm
>> >> comfortable in C++, familiar with Java, HTML5, Javascript, and
>> recently
>> >> Sage/Python.
>> >>
>> >> This semester I was lucky enough to get into a graduate course in
>> >> Computational Topology (Topological Data Analysis), and I'm hooked.
>> >>
>> >> Why Sage? I compiled Sage as soon as my prof gave us a long hw
>> assignment
>> >> that involved computing homology of a torus, klein bottle, and the
>> Real
>> >> Projective Plane...
>> >> ..based on triangulations that had 27x18 boundary matrices we had to
>> get
>> >> in smith form... (I actually found a bug in matrices mod 2 that I have
>> a
>> >> ticket open for, just got to write up some doctests and it should be
>> >> fixed). I used Sage instead of Matlab because I couldn't figure out
>> how to
>> >> get Matlab to save the u,v matrices - open source is the way to go.
>> >>
>> >> What do I want to do? I'd love to work on implementing knots/links as
>> per
>> >> (
>> >> https://docs.google.com/document/d/15v7lXZR1U4H2pT21d2fyPduYGb74J
>> AFjkXJ6CWYmYfw/pub#h.6l9ekqoc9br7), writing classes, functions,
>> invariants, etc. A potential caveat is how
>> >> much we want to "reinvent the wheel" because there are already
>> existing
>> >> implementations in other packages for some of these things.
>> >>
>> >> If there isn't enough work there, I'd also be interested in
>> integrating
>> >> Stanford's computational topology tools into Sage (
>> >> http://comptop.stanford.edu/programs/) for persistent homology
>> >> calculations. Dr. Carlsson (Stanford) gave a talk at UF this week and
>> told
>> >> me that the tools are still under development, so it would probably be
>> a
>> >> matter of getting permission if the community wants to go this route.
>> Or we
>> >> could start from scratch. I'm thinking Persistence Diagrams, Barcodes,
>> >> witness complexes, etc.
>> >>
>> >> Other math exposure:
>> >> Linear Algebra
>> >> Introductory Probability
>> >> Calc I - III
>> >> Discrete Mathematics
>> >>
>> >> Why do I want to do this?
>> >> If I don't contribute to Sage, I'd be implementing algorithms for my
>> >> research anyway. Might as well share them with other people!
>> >>
>> >> github that I contribute to when I have time: https://github.com. You
>> can
>> >> reach me by email at [email protected] <javascript:>
>> >>
>> >>
>> >>
>> >
>>
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