如何在python中使用for循环求解非线性方程?

问题描述

我正在尝试在 python 中求解非线性方程.我曾尝试使用 Sympy 的求解器，但它似乎在 for 循环语句中不起作用.我正在努力解决输入[N]范围内的变量x.

I am trying to solve for non linear equations in python. I have tried using the solver of the Sympy but it doesn't seem to work in a for loop statement. I am tyring to solve for the variable x over a range of inputs [N].

我在下面附上了我的代码

I have attached my code below

import numpy as np
import matplotlib.pyplot as plt
from sympy import *

f_curve_coefficients = [-7.14285714e-02, 1.96333333e+01, 6.85130952e+03]
S = [0.2122, 0, 0]

a2 = f_curve_coefficients[0]
a1 = f_curve_coefficients[1]
a0 = f_curve_coefficients[2]

s2 = S[0]
s1 = S[1]
s0 = S[2]

answer=[]
x = symbols('x')
for N in range(0,2500,5):
    solve([a2*x**2+a1*N*x+a0*N**2-s2*x**2-s1*x-s0-0])
    answer.append(x)

print(answer)

可能有比使用 sympy 更有效的方法来解决这个问题 * 任何帮助都将受到高度赞赏.

There could be more efficient ways of solving this problem than using sympy * any help will be much appreicated.

请注意，从 Matlab 过渡后，我还是 Python 新手.我可以在 Matlab 中轻松解决这个问题并附上代码，但我正在用 Python 解决这个问题

Note I am still new to python, after transisitioning from Matlab. I could easliy solve this problem in Matlab and could attach the code, but I am battiling with this in Python

推荐答案

根据 本文档，solve 的输出就是解决方案.x 没有赋值，它仍然只是符号.

According to this documentation, the output of solve is the solution. Nothing is assigned to x, that's still just the symbol.

x = symbols('x')
for N in range(0,2500,5):
    result = solve(a2*x**2+a1*N*x+a0*N**2-s2*x**2-s1*x-s0-0)
    answer.append(result)

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