from numpy import array, dot, zeros, set_printoptions

from numpy.linalg import inv

def newton_nonlinear(f1,f2,x10,x20,n,omega):

    x1 = zeros(n)

    x2 = zeros(n)

    x1[0] = x10

    x2[0] = x20

    for k in range(n-1):

        f = array([f1(x1[k],x2[k]),f2(x1[k],x2[k])])

        dx1, dx2 = - omega * dot(inv(j(x1[k],x2[k])),f)

        x1[k+1] = x1[k] + dx1

        x2[k+1] = x2[k] + dx2

    return x1, x2

def j(x1,x2):

    j11 = 2.0*x1

    j12 = 2.0*x2 

    j21 = -1.0

    j22 = 3.0

    return array([[j11, j12],[j21, j22]])

def f1(x1,x2):

    return x1**2 +x2**2 - 4.0

def f2(x1,x2):

    return -x1 +3*x2 - 2.0

x10 = 1.0

x20 = -1.0

omega = 1.25

n = 10

x1, x2 = newton_nonlinear(f1,f2,x10,x20,n,omega)

set_printoptions(precision=4)

if -2.0 <= x2<=0 and 0 <= x1 <=2.0:

    print("x1 = ", x1)

    print("x2 = ", x2)

else:

    print('none')

해가 저 조건을 만족할 때 출력하고싶은데 뭐가 문제인거지