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 containsn
nodes which are labeled from0
ton - 1
. You will be given the numbern
and a list of undirectededges
(each edge is a pair of labels).
You can assume that no duplicate edges will appear inedges
. Since all edges are undirected,[0, 1]
is the same as[1, 0]
and thus will not appear together inedges
.
Example 1:
Givenn = 4
,edges = [[1, 0], [1, 2], [1, 3]]
0
|
1
/ \
2 3
return[1]
Example 2:
Givenn = 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 thedefinition of tree on Wikipedia: “a tree is an undirected graph in which any two vertices are connected byexactlyone 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.
Credits:
Special thanks to@dietpepsifor adding this problem and creating all test cases.
tag: topological sort
class Solution {
public List<Integer> findMinHeightTrees(int n, int[][] edges) {
List<Integer> ans = new ArrayList<>();
if (n <= 1 || edges == null){
ans.add(0);
return ans;
}
List<Set<Integer>> path = new ArrayList<>();
for (int i = 0; i < n; i++) path.add(new HashSet<>());
for (int[] edge : edges){
path.get(edge[0]).add(edge[1]);
path.get(edge[1]).add(edge[0]);
}
List<Integer> leaves = new ArrayList<>();
for (int i = 0; i < path.size(); i++){
if (path.get(i).size() == 1){
leaves.add(i);
}
}
while (n > 2){
n -= leaves.size();
List<Integer> newLeaves = new ArrayList<>();
for (int leaf : leaves){
int j = path.get(leaf).iterator().next();
path.get(j).remove(leaf);
if (path.get(j).size() == 1) newLeaves.add(j);
}
leaves = newLeaves;
}
return leaves;
}
}