用参数最小化功能

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, b和c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))

这篇关于用参数最小化功能的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持！