#!/usr/bin/env python

import pulp

def maximize(capacity, weight):
    r = range(len(weight))
    problem = pulp.LpProblem(sense=pulp.LpMaximize)
    variable = [pulp.LpVariable('x%d'%i, cat=pulp.LpBinary) for i in r]
    problem += pulp.lpDot(weight, variable)
    problem += pulp.lpDot(weight, variable) <= capacity
    problem.solve()
    return pulp.value(problem.objective)

indat = [int(x) for x in input().split()]
weights = list()
for i in range(indat[0]):
    x = int(input())
    if x < indat[1]:
        weights.append(x)
    elif x == indat[1]:
        print(x)
        exit()

ans = int(maximize(indat[1], weights))
print(ans)