Bamboo Pole-vault is a massively popular sport in Xzhiland. And Master Phi-shoe is a very popular coach for his success. He needs some bamboos for his students, so he asked his assistant Bi-Shoe to go to the market and buy them. Plenty of Bamboos of all possible integer lengths (yes!) are available in the market. According to Xzhila tradition,
Score of a bamboo = Φ (bamboo's length)
(Xzhilans are really fond of number theory). For your information, Φ (n) = numbers less than n which are relatively prime (having no common divisor other than 1) to n. So, score of a bamboo of length 9 is 6 as 1, 2, 4, 5, 7, 8 are relatively prime to 9.
The assistant Bi-shoe has to buy one bamboo for each student. As a twist, each pole-vault student of Phi-shoe has a lucky number. Bi-shoe wants to buy bamboos such that each of them gets a bamboo with a score greater than or equal to his/her lucky number. Bi-shoe wants to minimize the total amount of money spent for buying the bamboos. One unit of bamboo costs 1 Xukha. Help him.
Input
Input starts with an integer T (≤ 100), denoting the number of test cases.
Each case starts with a line containing an integer n (1 ≤ n ≤ 10000) denoting the number of students of Phi-shoe. The next line contains n space separated integers denoting the lucky numbers for the students. Each lucky number will lie in the range [1, 106].
Output
For each case, print the case number and the minimum possible money spent for buying the bamboos. See the samples for details.
Sample Input |
Output for Sample Input |
|
3 5 1 2 3 4 5 6 10 11 12 13 14 15 2 1 1 |
Case 1: 22 Xukha Case 2: 88 Xukha Case 3: 4 Xukha |
题意就是给出n个整数,每个整数ai找出最小的xi使得Φ(xi)>=ai,求x1+x2+...+xn。
Φ(xi)就是1~(xi-1)中有多少个数与xi互质。
利用欧拉函数筛先把每个数的欧拉函数值筛出来(注意maxn一定要设大一点,要保证maxn欧拉函数的值比ai的最大值要大),然后再预处理一波花费xi最多能得到多少价值,这样花费和价值就是单调函数了,就可以利用二分求出最小的花费。
#include<cstdio>
#include<cstring>
#include<iostream>
#include<algorithm>
#define LL long long
using namespace std;
const int maxn = 3e6;
int phi[maxn+10];
void phi_table()
{
int i,j;
phi[1]=0;
for(i=2;i<=maxn;i++)
{
if(phi[i])
continue;
for(j=i;j<=maxn;j+=i)
{
if(!phi[j])
phi[j]=j;
phi[j]=phi[j]/i*(i-1);
}
}
for(i=2;i<=maxn;i++)
{
phi[i] = max(phi[i],phi[i-1]);
}
}
int binarysearch(int x)
{
int l = 1,r = maxn;
int ans = r;
while(l <= r)
{
int mid = (l+r)/2;
if(phi[mid] >= x)
{
r = mid - 1;
ans = mid;
}
else
l = mid + 1;
}
return ans;
}
int main(void)
{
int T,n,i,j;
phi_table();
scanf("%d",&T);
int cas = 1;
while(T--)
{
scanf("%d",&n);
LL sum = 0;
for(i=1;i<=n;i++)
{
int x;
scanf("%d",&x);
sum += binarysearch(x);
}
printf("Case %d: %lld Xukha\n",cas++,sum);
}
return 0;
}

本篇介绍了一个有趣的竹竿跳高问题,通过使用欧拉函数来筛选出满足条件的竹竿长度,实现成本最小化的目标。文章详细解释了如何通过预处理和二分搜索来高效解决此问题。
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