N, K = list(map(int, input().split()))

A = []

for n in range(N):
    A.append(int(input()))

# 以下は全探索のアルゴリズム（TLEだった）
"""
def bin_search(item_index, rest_weight):
    if item_index == N:
        return 0
    elif rest_weight < A[item_index]:
        return bin_search(item_index + 1, rest_weight)
    else:
        res1 = bin_search(item_index + 1, rest_weight)
        res2 = bin_search(item_index + 1, rest_weight - A[item_index]) + A[item_index]

        return max(res1, res2)

print(bin_search(0, K))
"""

# 以下は動的計画法で書いたアルゴリズム
import numpy as np

dp = np.zeros((N + 1, K + 1))

def do_dp():
    for item_index in range(N - 1, -1, -1):
        for rest_weight in range(K + 1):
            if rest_weight < A[item_index]:
                dp[item_index][rest_weight] = dp[item_index + 1][rest_weight]
            else:
                dp[item_index][rest_weight] = \
                        max(dp[item_index + 1][rest_weight],
                            dp[item_index + 1][rest_weight - A[item_index]] + A[item_index])

    return dp[0][K]

ans_weight = do_dp()

print(int(ans_weight))