310. Minimum Height Trees
For an 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 :
Input: n = 4, edges = [[1, 0], [1, 2], [1, 3]]
0
|
1
/ \
2 3
Output: [1]
Example 2 :
Input: n = 6, edges = [[0, 3], [1, 3], [2, 3], [4, 3], [5, 4]]
0 1 2
\ | /
3
|
4
|
5
Output: [3, 4]
Note:
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.”
The height of a rooted tree is the number of edges on the longest downward path between the root and a leaf.
// BFS Topological Sort
vector<int> findMinHeightTrees(int n, vector<vector<int>>& edges) { // time: O(E + V); space: O(E + V)
if (n == 1) return vector<int>({0});
vector<int> res;
vector<unordered_set<int> > graph(n); // adjacency list
queue<int> q;
for (auto& e : edges) {
graph[e[0]].insert(e[1]);
graph[e[1]].insert(e[0]);
}
for (int i = 0; i < n; ++i) {
if (graph[i].size() == 1) q.push(i);
}
while (n > 2) {
int size = q.size();
n -= size;
for (int i = 0; i < size; ++i) {
int t = q.front(); q.pop();
for (int neigh : graph[t]) {
graph[neigh].erase(t);
if (graph[neigh].size() == 1) q.push(neigh);
}
}
}
while (!q.empty()) {
res.emplace_back(q.front()); q.pop();
}
return res;
}
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