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Subject: Re: [boost] [BGL] Maximum Weight Matching
From: Pablo Madoery (madoerypablo_at_[hidden])
Date: 2013-10-10 12:45:31


Piotr Wygocki Thank you very much for your feedback. We Will try to make
the changes you propose.

2013/10/9 Piotr Wygocki <vwygos_at_[hidden]>

> Hi, I'd be very glad to see this algorithm in boost bgl. I don't want to
> interfere with the library maintainer, but there are some issues that
> bother me
> - The code is not header-only what is one of the main assumptions of BGL.
>
> - The big issue is to adjust the algorithm to standard bgl design pattern
> (for example algorithms use named_parameters). I think it is a good idea to
> read carefully implementation of some simple algorithm from bgl and copy
> the patterns. This includes also trivial things like missing licenses,
> namespaces etc.
>
> - Functions should be templated to achieve appropriate level of
> genericity.
>
> - There are many big macros, many of them looks just like a function for
> example GET_PENULTIMATE_BLOSSOM(j)
>
> - There are many not-necessary heap allocation. For example there is often
> a pattern
> void f() {
> A * a = new A;
> ...
> delete a;
> }
> instead of just
> void f() {
> A a;
> }
>
> - There are c arrays instead of std::vector (generally the code looks like
> c-style c++)
>
>
> I'm hoping to see this algorithm in the next boost release!
>
> Regards,
>
> Piotr Wygocki
>
>
>
>
> On 8 October 2013 04:43, Pablo Madoery <madoerypablo_at_[hidden]> wrote:
>
> > Hello, We wrote the attached code in c++ using Boost, Blossom V
> > and Guido Shafer Reduction to compute Maximum-Weight-Matching (not
> > necessarily
> > perfect) of a graph.
> > We want to contribute to Boost BGL library. We are not experts in boost
> BGL
> > library
> > but we think that this code can be improved and used in Boost.
> > We wrote this code becouse we need this algorithm and it wasn't in Boost.
> > Although it is in Lemon Library (
> > http://lemon.cs.elte.hu/pub/doc/1.2.3/a00537.html)
> > we need other algorithms and functions that are only in Boost.
> >
> > Thank you very much
> >
> >
> > _______________________________________________
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> >
>
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