Codeforces 388A - Fox and Box Accumulation

本文提供了一种解决388A-FoxandBoxAccumulation问题的方法,通过贪心策略对输入数据进行排序并模拟处理过程,实现最小化操作次数的目标。代码采用C++编写,并提供了两种不同的实现方案。

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388A - Fox and Box Accumulation

思路

从小到大贪心模拟。

代码

#include<bits/stdc++.h>
using namespace std;
const int INF=0x3f3f3f3f; 
const int N=105;
int a[N]; 
bool vis[N]={false};
int main()
{
    ios::sync_with_stdio(false);
    cin.tie(0); 
    int n;
    int ma=0;
    cin>>n;
    for(int i=0;i<n;i++) 
    {
        cin>>a[i];
    } 
    int ans=0,tot=n;
    sort(a,a+n);
    while(tot)
    {
        int cnt=0;
        for(int i=0;i<n;i++)
        {
            if(!vis[i]&&cnt<=a[i])
            {
                vis[i]=true;
                cnt++;
                tot--;
            }
        }
        ans++;
    }
    cout<<ans<<endl;
    return 0; 
} 

 

#include<bits/stdc++.h>
using namespace std;
const int INF=0x3f3f3f3f; 
const int N=105;
int a[N]; 
int Hash[N]={0};
int main()
{
    ios::sync_with_stdio(false);
    cin.tie(0); 
    int n;
    int ma=0;
    cin>>n;
    for(int i=0;i<n;i++) 
    {
        cin>>a[i];
        ma=max(ma,a[i]);
        Hash[a[i]]++;
    } 
    int ans=0;
    while(n)
    {
        int cnt=0;
        for(int i=0;i<=ma;i++)
        {
            while(Hash[i]&&i>=cnt)
            {
                Hash[i]--;
                cnt++;
                n--;
            }
        }
        ans++;
    }
    cout<<ans<<endl;
    return 0; 
} 

 

转载于:https://www.cnblogs.com/widsom/p/7228691.html

### 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.
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