用参数最小化功能 [英] Minimize function with parameters

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问题描述

目前,我有以下代码定义了函数f.

Currently I have the following code that defines the function f.

a = #something
b = #something
c = #something
def f(x):
    """Evaluates some function that depends on parameters a, b, and c"""
    someNumber = #some calculation
    return someNumber

理想情况下,我会做def f(x, a, b, c),但是相对于x,我正在将f最小化,SciPy的优化工具箱不允许使用参数中的参数来最小化函数.就是说,我想对a, bc的多个值运行我的最小化代码.有办法吗?

Ideally I would do def f(x, a, b, c), BUT I am minimizing f with respect to x and SciPy's optimization toolbox doesn't allow for one to minimize functions with parameters in the arguments. That said I would like to run my minimization code for multiple values of a, b and c. Is there a way I can do this?

推荐答案

您可以在args

from scipy.optimize import minimize 
minimize(f, x0, args=(a, b, c))

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