import bisect
import copy
import decimal
import fractions
import heapq
import itertools
import math
import random
import sys
import time
from collections import Counter,deque,defaultdict
from functools import lru_cache,reduce
from heapq import heappush,heappop,heapify,heappushpop,_heappop_max,_heapify_max
def _heappush_max(heap,item):
    heap.append(item)
    heapq._siftdown_max(heap, 0, len(heap)-1)
def _heappushpop_max(heap, item):
    if heap and item < heap[0]:
        item, heap[0] = heap[0], item
        heapq._siftup_max(heap, 0)
    return item
from math import gcd as GCD
read=sys.stdin.read
readline=sys.stdin.readline
readlines=sys.stdin.readlines
write=sys.stdout.write
#import pypyjit
#pypyjit.set_param('max_unroll_recursion=-1')
#sys.set_int_max_str_digits(10**9)

def Hadamard(polynomial,n,mod=0,inverse=False):
    assert mod%2
    polynomial_=[x for x in polynomial]+[0]*((1<<n)-len(polynomial))
    for bit in range(n):
        for i in range(1<<n):
            ii=i^(1<<bit)
            if i>ii:
                continue
            polynomial_[i],polynomial_[ii]=polynomial_[i]+polynomial_[ii],polynomial_[i]-polynomial_[ii]
            if mod:
                polynomial_[i]%=mod
                polynomial_[ii]%=mod
    if inverse:
        if mod:
            inve_2=pow((mod+1)//2,n)
            for i in range(1<<n):
                polynomial_[i]*=inve_2
                polynomial_[i]%=mod
        else:
            pow_2=pow(2,n)
            for i in range(1<<n):
                polynomial_[i]/=pow_2
    return polynomial_

def XOR_Convolution(polynomial0,polynomial1,mod=0):
    n=(max(len(polynomial0),len(polynomial1))-1).bit_length()
    Hadamard_polynomial0=Hadamard(polynomial0,n,mod=mod)
    Hadamard_polynomial1=Hadamard(polynomial1,n,mod=mod)
    if mod:
        convolution=[x*y%mod for x,y in zip(Hadamard_polynomial0,Hadamard_polynomial1)]
    else:
        convolution=[x*y for x,y in zip(Hadamard_polynomial0,Hadamard_polynomial1)]
    convolution=Hadamard(convolution,n,mod=mod,inverse=True)
    return convolution

N=int(readline())
A=list(map(int,readline().split()))
max_A=max(A)
C=[0]*(max_A+1)
for a in A:
    C[a]+=1
sum_A=sum(A)
g=A[0]
for a in A[1:]:
    if a>g:
        a,g=g,a
    while a:
        g^=a<<(g.bit_length()-a.bit_length())
        if a>g:
            a,g=g,a
ans=sum_A
for i in range(1,max_A+1):
    ii=i
    while ii>=g:
        ii^=g<<(ii.bit_length()-g.bit_length())
    if ii==0:
        s=sum_A
        for j in range(i,max_A+1,i):
            s-=C[j]*(j-j//i)
        ans=min(ans,s)
print(ans)