点击运行
import numpy as np from scipy.optimize import least_squares def fun_rosenbrock(x): return np.array([10 * (x[1] - x[0] ** 2), (1 - x[0])]) input = np.array([2, 2]) res = least_squares(fun_rosenbrock, input) print(res)
运行结果 :
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