1、原题如下:
For a undirected graph with tree characteristics, we can choose any node as the root. The result graph is then a rooted tree. Among all possible rooted trees, those with minimum height are called minimum height trees (MHTs). Given such a graph, write a function to find all the MHTs and return a list of their root labels.
Format
The graph contains n nodes which are labeled from 0 to n - 1. You will be given the number n and a list of undirected edges (each edge is a pair of labels).You can assume that no duplicate edges will appear in edges. Since all edges are undirected, [0, 1] is the same as [1, 0] and thus will not appear together in edges.
Example 1:
Given n = 4, edges = [[1, 0], [1, 2], [1, 3]]
0
|
1
/ \
2 3
return [1]
Example 2:
Given n = 6, edges = [[0, 3], [1, 3], [2, 3], [4, 3], [5, 4]]
0 1 2
\ | /
3
|
4
|
5
return [3, 4]
Note:
(1) According to the definition of tree on Wikipedia: “a tree is an undirected graph in which any two vertices are connected by exactly one path. In other words, any connected graph without simple cycles is a tree.”
(2) The height of a rooted tree is the number of edges on the longest downward path between the root and a leaf.
2、解题如下:
class Solution {
public:
struct vertex
{
unordered_set<int> neighbor;
bool isLeaf() const{return neighbor.size()==1;}
};
vector<int> findMinHeightTrees(int n, vector<pair<int, int>>& edges) {
vector<int> tmp1;
vector<int> tmp2;
vector<int>* tmp1_1=&tmp1;
vector<int>* tmp2_1=&tmp2;
if(n==1)
{
tmp1.push_back(0);
return tmp1;
}
if(n==2)
{
tmp1.push_back(0);
tmp1.push_back(1);
return tmp1;
}
vector<vertex> vertices(n);
for(auto i:edges)
{
vertices[i.first].neighbor.insert(i.second);
vertices[i.second].neighbor.insert(i.first);
}
for(int i=0;i<n;i++)
{
if(vertices[i].isLeaf())
{
tmp1_1->push_back(i);
}
}
while(1)
{
for(auto j:*tmp1_1)
{
for(auto k: vertices[j].neighbor)
{
vertices[k].neighbor.erase(j);
if(vertices[k].isLeaf()) tmp2_1->push_back(k);
}
}
if(tmp2_1->empty())
{
return *tmp1_1;
}
tmp1_1->clear();
swap(tmp1_1,tmp2_1);
}
}
};