使用此代码,我想使用牛顿方法从二维函数中查找最小值:
from numpy import array
from numpy.linalg import solve, norm
def newton2d(f, df, x, tol=1e-12, maxit=50):
x = atleast_2d(x)
for i in range(maxit):
s = solve(df(x), f(x))
x -=s
if norm(s)<tol: print(x); print(i); break
f = lambda x: array([x[0]**2-x[1]**4, x[0]-x[1]**3])
df = lambda x: array([[2*x[0], -4*x[1]**3], [1, -3*x[1]**2]])
x = array([0.7, 0.7])
newton2d(f,df,x)
我认为这段代码应该可以工作,但是出现如下错误:
IndexError: index 1 is out of bounds for axis 0 with size 1
感谢您的帮助!