On 2 October 2014 05:39, Andrea Gavana <andrea.gavana@gmail.com> wrote:

So, after receiving a bunch of requests for the AMPGO global optimization code and the associated benchmarks, I decided to put what I have on the public domain. I don't have that much time to work on it myself *but* I would still appreciate bug reports and feature requests.

<SNIP>

Comments and suggestions are most welcome - especially if they help improving the overall performance of the AMPGO code (Tunnelling function gradient is a good start) or fixing bugs in the test functions - I'm sure there are a few lurking by, it's not that easy to stay focused while coding so much numerical optimization bruhaha.
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Andrea.

Andrea,

thank you for making all that available, that's certainly a large amount of work, wow.

For my part I am particularly interested in the benchmark suite and would like to see that eventually included in scipy as a way of benchmarking scipy.optimize.  I have a small amount of spare time to work on this and would like to take this on.  

Firstly, what do people think about inclusion of such a large set of benchmarking functions to the code base for scipy.optimize? We have a small amount, but could do with a lot more.

Secondly, Andrea, would you mind if I worked towards this end goal?