1021. Deepest Root (25)

本文介绍了一种算法,用于在一个无环连通图中找到能够生成最高树形结构的根节点,这样的根节点被称为最深深根。文章详细描述了如何通过检测连通组件的数量判断输入是否构成一棵树,并通过广度优先搜索找出所有可能的最深深根。

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1.采用并查集来检测是否存在2个或2个以上集合

2.使用广度优先搜索进行求多源路径

3.使用Floyd算法会超出内存(可计算10000*10000的int的大小),使用DFS会出现栈溢出(10000深度太深了)


A graph which is connected and acyclic can be considered a tree. The height of the tree depends on the selected root. Now you are supposed to find the root that results in a highest tree. Such a root is called the deepest root.

Input Specification:

Each input file contains one test case. For each case, the first line contains a positive integer N (<=10000) which is the number of nodes, and hence the nodes are numbered from 1 to N. Then N-1 lines follow, each describes an edge by given the two adjacent nodes' numbers.

Output Specification:

For each test case, print each of the deepest roots in a line. If such a root is not unique, print them in increasing order of their numbers. In case that the given graph is not a tree, print "Error: K components" where K is the number of connected components in the graph.

Sample Input 1:
5
1 2
1 3
1 4
2 5
Sample Output 1:
3
4
5
Sample Input 2:
5
1 3
1 4
2 5
3 4
Sample Output 2:
Error: 2 components



//#include<string>
//#include <iomanip>
#include<vector>
#include <algorithm>
//#include<stack>
#include<set>
#include<queue>
#include<map>
//#include<unordered_set>
//#include<unordered_map>
//#include <sstream>
//#include "func.h"
//#include <list>
#include<stdio.h>
#include<iostream>
#include<string>
#include<memory.h>
#include<limits.h>
using namespace std;
class VertexNode{
public:
	vector<int> list;
	VertexNode() :list(0){};
};
int findRepresent(int a, int* r)
{
	if (r[a] == a)
		return a;
	else
	{
		r[a] = findRepresent(r[a], r);
		return r[a];
	}
}
void dfs(int&node, VertexNode *v, int &maxDeep, int deep, int&root, bool*used, vector<pair<int, int>>&ans)
{
	bool visitedAll = true;
	for (int i = 0; i < v[node].list.size(); i++)
	{
		int p = v[node].list[i];
		if (!used[p])
		{
			used[p] = true;
			visitedAll = false;
			dfs(p, v, maxDeep, deep + 1, root, used, ans);
			used[p] = false;
		}
	}
	if (visitedAll&&deep >= maxDeep)
	{
		maxDeep = deep;
		ans.push_back({ root, deep });
	}
}
bool cmp(const pair<int, int>&a, const pair<int, int>&b)
{
	if (a.second>b.second)
		return true;
	else if (a.second == b.second && a.first < b.first)
		return true;
	else
		return false;
}
int main(void)
{
	int nodeNum;
	cin >> nodeNum;
	//VertexNode *v = new VertexNode[nodeNum];//节点
	vector<VertexNode> v(nodeNum);
	vector<int> temp(0);
	for (int i = 0; i < nodeNum - 1; i++)
	{
		v[i].list = temp;
	}
	int *r = new int[nodeNum];//代表
	for (int i = 0; i < nodeNum; i++)
		r[i] = i;
	for (int i = 0; i < nodeNum - 1; i++)
	{
		int a, b;
		cin >> a >> b; a--; b--;
		v[a].list.push_back(b);
		v[b].list.push_back(a);
		r[findRepresent(a, r)] = findRepresent(b, r);//合并a和b
	}
	int setNum = 0;
	for (int i = 0; i < nodeNum; i++)
	{//并查集检测集合数量
		if (i == r[i]) setNum++;
	}
	delete[]r;
	if (setNum >= 2)
	{
		printf("Error: %d components\n", setNum);
		return 0;
	}

	/*bool *used = new bool[nodeNum];
	memset(used, false, sizeof(used));*/
	vector<bool> used (nodeNum, false);
	vector<pair<int, int>> ans(0);
	int maxDeep = 0;

	for (int root = 0; root < nodeNum; root++)
	{//对每一个点使用广度优先搜索,BFS
		//memset(used, false, sizeof(used));

		vector<bool> used = vector<bool>(nodeNum, false);
		queue<int>q;
		q.push(root);
		int total = 1;
		int total2 = 0;
		int deep = 0;
		used[root] = true;
		//cout << "root:" << root << endl;
		while (!q.empty())
		{
			deep++;
			//cout << "layer" << deep << " :";
			for (int i = 0; i < total; ++i)
			{
				int top = q.front(); q.pop();
				for (int j = 0; j < v[top].list.size(); ++j)
				{
					int p = v[top].list[j];
					if (!used[p])
					{
						//cout << p << " ";
						used[p] = true;
						q.push(p);
						total2++;
					}
				}
			}
			total = total2;
			total2 = 0;
			//cout << endl;
		}
		//cout << endl;
		if (deep >= maxDeep)
		{
			maxDeep = deep;
			ans.push_back({ root, deep });
		}
	}

	sort(ans.begin(), ans.end(), cmp);
	for (int i = 0; i < nodeNum; i++)
	{
		used[i] = false;
	}
	for (int i = 0; i < ans.size(); i++)
	{
		if (ans[i].second == maxDeep)
		{
			used[ans[i].first] = true;
			//cout << ans[i].first << endl;
		}
		else break;
	}
	for (int i = 0; i < nodeNum; i++)
	{
		if (used[i])
			cout << i + 1 << endl;
	}
	return 0;
}



# -*- coding: utf-8 -*- '''请在Begin-End之间补充代码, 完成BinaryTree类''' class BinaryTree: # 创建左右子树为空的根结点 def __init__(self, rootObj): self.key = rootObj # 成员key保存根结点数据项 self.leftChild = None # 成员leftChild初始化为空 self.rightChild = None # 成员rightChild初始化为空 # 把newNode插入到根的左子树 def insertLeft(self, newNode): if self.leftChild is None: self.leftChild = BinaryTree(newNode) # 左子树指向由newNode所生成的BinaryTree else: t = BinaryTree(newNode) # 创建一个BinaryTree类型的新结点t t.leftChild = self.leftChild # 新结点的左子树指向原来根的左子树 self.leftChild = t # 根结点的左子树指向结点t # 把newNode插入到根的右子树 def insertRight(self, newNode): if self.rightChild is None: # 右子树指向由newNode所生成的BinaryTree # ********** Begin ********** # self.rightChild = BinaryTree(newNode) # ********** End ********** # else: t = BinaryTree(newNode) t.rightChild = self.rightChild self.rightChild = t # ********** End ********** # # 取得右子树,返回值是一个BinaryTree类型的对象 def getRightChild(self): # ********** Begin ********** # return self.rightChild # ********** End ********** # # 取得左子树 def getLeftChild(self): # ********** Begin ********** # return self.leftChild # ********** End ********** # # 设置根结点的值 def setRootVal(self, obj): # 将根结点的值赋值为obj # ********** Begin ********** # self.key = obj # ********** End ********** # # 取得根结点的值 def getRootVal(self): # ********** Begin ********** # return self.key # ********** End ********** # # 主程序 input_str = input() nodes = input_str.split(',') # 创建根节点 root = BinaryTree(nodes[0]) # 插入左子树和右子树 if len(nodes) > 1: root.insertLeft(nodes[1]) if len(nodes) > 2: root.insertRight(nodes[2]) # 前三行输出:对创建的二叉树按编号顺序输出结点 print(root.getRootVal()) left_child = root.getLeftChild
最新发布
03-18
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