python system of nonlinear equations
import scipy.optimize as opt
from numpy import exp
def f(variables) :
(x,y) = variables
first_eq = x + y**2 - 4
second_eq = exp(x) + x*y - 3
return [first_eq, second_eq]
solution = opt.fsolve(f, (0.1, 1)) # fsolve(equations, X_0)
print(solution)
# [ 0.62034452 1.83838393]solve linear system python
>>> a = np.array([[3,1], [1,2]])
>>> b = np.array([9,8])
>>> x = np.linalg.solve(a, b)
>>> x
array([2., 3.])Copyright © 2021 Codeinu
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