from scipy.optimize import minimize
from math import sqrt

n = int(input())
h = int(input())
points = [tuple(map(int, input().split())) for i in range(n)]

def f(params):
    a1, a2 = params
    ret = 0
    for x, y in points:
        ret += min((y - (a1 * x + h)) ** 2, (y - a2 * x) ** 2)
    return ret

print(minimize(f, (0, 0), args=(), method='Nelder-Mead').fun)