Hi Guillaume,
Thanks for the answer. It looks my problem is acknowledged on a few github issues and PRs, see here for example:
https://github.com/scipy/scipy/pull/8357
However I’m not sure that even this PR would solve my specific usage of many calls to optimize.minimize_scalar with objective functions parametrized slightly differently for each.
Victor Poughon
De : SciPy-User [mailto:scipy-user-bounces+victor.poughon=cnes.fr@python.org]
De la part de Guillaume Gay
Envoyé : samedi 17 février 2018 16:05
À : scipy-user@python.org
Objet : Re: [SciPy-User] Minimize many scalar functions
Hi Victor,
I guess it depends a lot on the scalar functions and if they can be vectorized... But you can always optimize on an array of inputs with optimize.minimize, can't you?
A more explicit example would help us help you I guess.
Best
Guillaume
Le 16/02/2018 à 17:16, Poughon Victor a écrit :
Hi all,
I'd like to minimize hundreds of thousands of scalar valued functions. Is there a faster way than a for-loop over a
defof the objective function and a call toscipy.optimize.minimize_scalar? Basically a vectorized version, where I could give a functionfooand a 2D numpy array where each row is given as extra data to the objective function.
Thanks,
Victor Poughon
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Guillaume Gay, PhD