import scipy
from scipy import optimize

p = float(input())
x1, y1 = map(float, input().split())
x2, y2 = map(float, input().split())
x3, y3 = map(float, input().split())

def Lp(x,y):
    x = abs(x)
    y = abs(y)
    ma = max(x,y)
    if ma<1e-9:
        return 0
    x /= ma
    y /= ma
    x = x ** p
    y = y ** p
    return (x+y)**(1.0/p)*ma

def f(point):
    x, y = point
    d1 = Lp(x-x1,y-y1)
    d2 = Lp(x-x2,y-y2)
    d3 = Lp(x-x3,y-y3)
    return (d2 - d1) ** 2 + (d3 - d1) ** 2 + (d3 - d2) ** 2

options = {'maxiter': 10000}
x_min = optimize.minimize(f, x0=[0, 0], options=options)

print(*x_min.x)