codeforces 18-05-18 C题 Cut 'em all!

本文介绍了一道关于树形结构的算法题,题目要求找出在保证剩余部分为连通且包含偶数个顶点的分量时,能够删除的最大边数。文章提供了完整的C++实现代码。

(1)题意:题目:全部剪掉它们
给你一个树上的n个顶点。
你的任务是确定在保证剩余的边是被偶数个顶点连接起来的连通分量的情况下,可以删除的最大可能的边数。
输入:
第一行是一个数据范围为(1~1e5)的整数n。
剩余的n-1行每行包括两个整数u,v,(1~n)代表,第i条边连通。
保证给的边全部来自一个树。
输出:
输出一个整数k——在保证剩余的部分是一个包含偶数个点的连通分量情况下,你可以删掉的最大的边数。或者输出-1,在不可能满足上述性质的情况下。
(2)通过的代码:

#include<iostream>
using namespace std;
const int N=1e5+7;
struct data{int to,next;}e[N<<1];
int head[N],cnt,n,x,y,ans,size[N];
void ins(int u,int v){e[++cnt].to=v;e[cnt].next=head[u];head[u]=cnt;}
void insert(int u,int v){ins(u,v);ins(v,u);}
void dfs(int x,int fa=0){
    int odd=0;
    for(int i=head[x];i;i=e[i].next)if(e[i].to!=fa){
        dfs(e[i].to,x);
        if(size[e[i].to]%2)odd+=size[e[i].to];
    }
    if((odd+1)%2==0){
        if(x!=1)ans++;
    }else {
        size[x]=odd+1;
        if(x==1)ans=-1;
    }
}
int main(){
    ios::sync_with_stdio(false);cin.tie(0);
    cin>>n;for(int i=1;i<n;i++)cin>>x>>y,insert(x,y);dfs(1);
    cout<<ans<<endl; 
}
### 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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