On Tue, Mar 19, 2013 at 1:57 AM, Rajat Kapoor <[email protected]> wrote:
> @david: I knew about networkX library but was not aware about OpenOpt.
> My main aim to introduce Graph Theory into Sympy was to give give the users
> total freedom to apply Sympy's functions seamlessly onto the results of
> graph theory and vice versa. Instead of the graph class used by NetworkX,
> I'd be implementing all the functions on the matrix of the graph itself, so
> that there is an option for further computation on the graph. This is
> possible in NetworkX using interlinked conversions, but is a tedious and
> time consuming task. Moreover, I thought that a user will be more
> comfortable if he finds all the math-related functions in the same
> library(isn't that the motive behind creating a library), instead of
> importing different libraries. That was the main motive behind adding Graph
> Theory module.

Don't think of it like this. Rather, think of all the open source
scientific Python libraries as an ecosystem. Duplicating functionality
across the ecosystem doesn't make sense.

> @brian: that is a brilliant idea, asking for GSoC under networkX. But due to
> familiarity with Sympy, I thought of asking here first. Moreover, NetworkX
> is integrated into Sage, which is another organisation already participating
> in GSoC. So  can try there too.
> @aaron: Please get back if there is some thought of integrating graph theory
> into sympy in the future. Moreover, I completely Agree with you on my
> inappropiate thought of adding a numerical solver like that of optimization
> into a symbolic solver library.

If you have some project that is inherently symbolic relating to graph
theory, then we will hear that one out.

Aaron Meurer

>
> Anyways, I'll start working on the improvement of your matrix module and
> prepare a proposal for that.
> Really appreciate all of your suggestions.
> Thanks.
> Regards,
> Rajat Kapoor
>
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