codeforces 27E - Number With The Given Amount Of Divisors (数论 dfs)

本文介绍了一种寻找满足特定因子数量的最小正整数的方法。通过分解质因数并利用深度优先搜索(DFS)策略,文章提供了一个有效的算法实现,能够快速找到因子个数为给定数值n的最小正整数。

摘要生成于 C知道 ,由 DeepSeek-R1 满血版支持, 前往体验 >

题解:

给你一个数n,然后让你找到一个数m,m的因数的个数是n,让你求满足条件的m的最小的那个数。

思路:

对于每个数m来说,他都能分解成形如 m=2p13p25p37p411p5......
所以m的因子的个数为 (p1+1) * (p2+1) * (p3+1) * (p4+1)……
所以我们对每个质因子进行dfs,去把所有的情况都遍历。。。
但是因为有因数个数为n这个条件,所以可以相应的进行剪枝。
而且因为求的是满足条件的m的最小的那个,所以又可以进行剪枝了。
而且因为n很小(<1000)所以极限情况是每个质因子的指数都是1这样的话,这个数的因子个数为2的10次方,也就是1024,所以说最多准备10个素数就行。

AC代码:

#include <iostream>
#include <cstdio>
typedef long long int lli;
using namespace std;

lli ans = 1e18;
lli n;

lli a[] = {0,2,3,5,7,11,13,17,19,23,29};
void f(lli v,lli nn,lli p){
    if(nn > n) return;
    if(nn == n ){
        if(v < ans)
            ans = v;
        return;
    }
    for(int i = 1;i <= 64;i++){
        v *= a[p];
        if(v >= ans)break;
        if(nn < n){
            f(v,nn*(i+1),p+1);
        }
    }
}

int main()
{
    //freopen("output.txt","w",stdout);
    scanf("%I64d",&n);
    if(n == 1){
        printf("1\n");
        return 0;
    }
    f(1LL,1LL,1LL);
    printf("%I64d\n",ans);
    return 0;
}
### Codeforces Problem 976C Solution in Python For solving problem 976C on Codeforces using Python, efficiency becomes a critical factor due to strict time limits aimed at distinguishing between efficient and less efficient solutions[^1]. Given these constraints, it is advisable to focus on optimizing algorithms and choosing appropriate data structures. The provided code snippet offers insight into handling string manipulation problems efficiently by customizing comparison logic for sorting elements based on specific criteria[^2]. However, for addressing problem 976C specifically, which involves determining the winner ('A' or 'B') based on frequency counts within given inputs, one can adapt similar principles of optimization but tailored towards counting occurrences directly as shown below: ```python from collections import Counter def determine_winner(): for _ in range(int(input())): count_map = Counter(input().strip()) result = "A" if count_map['A'] > count_map['B'] else "B" print(result) determine_winner() ``` This approach leverages `Counter` from Python’s built-in `collections` module to quickly tally up instances of 'A' versus 'B'. By iterating over multiple test cases through a loop defined by user input, this method ensures that comparisons are made accurately while maintaining performance standards required under tight computational resources[^3]. To further enhance execution speed when working with Python, consider submitting codes via platforms like PyPy instead of traditional interpreters whenever possible since they offer better runtime efficiencies especially important during competitive programming contests where milliseconds matter significantly.
评论
添加红包

请填写红包祝福语或标题

红包个数最小为10个

红包金额最低5元

当前余额3.43前往充值 >
需支付:10.00
成就一亿技术人!
领取后你会自动成为博主和红包主的粉丝 规则
hope_wisdom
发出的红包
实付
使用余额支付
点击重新获取
扫码支付
钱包余额 0

抵扣说明:

1.余额是钱包充值的虚拟货币,按照1:1的比例进行支付金额的抵扣。
2.余额无法直接购买下载,可以购买VIP、付费专栏及课程。

余额充值