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 |def|of the objective function and a call to |scipy.optimize.minimize_scalar|? Basically a vectorized version, where I could give a function |foo|and a 2D numpy array where each row is given as extra data to the objective function.
Thanks,
Victor Poughon
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