Solver for multiple variable

solver

asked 2015-04-21 21:06:22 +0100

marraco
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I have a function which depends of multiple parameters, and I need to find the parameters that minimize some error function.

Is non linear, but works well with conjugate gradient and central derivative methods on other software, which just do not have the necessary precision.

Is there something similar in PariGP?

The "solver" function seems to work only with one parameter.

Please, do not ask for more specific details about the function. This is a general question.

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answered 2015-04-22 19:38:24 +0100

calc314
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updated 2015-04-22 20:43:08 +0100

You can use scipyfor this. See https://docs.scipy.org/doc/scipy/refe....

Here is an outline of some code.

from scipy import optimize

def err(params,F):
    ...
    return result

optimize.minimize(err,[initial values],args=(...))

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Thanks!

I was told that it is not possible in PariGP, so I gave up, and just today I found your answer.

Hope it works.

marraco ( 2015-05-11 12:42:27 +0100 )edit

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Asked: 2015-04-21 21:06:22 +0100

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Last updated: Apr 22 '15

Solver for multiple variable edit