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]
Hint:
- How many MHTs can a graph have at most?
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.
Solution:
build graph first, then find leaf and remove them among their neighbors, level by level. Until left less 2 nodes
public List<Integer> findMinHeightTrees(int n, int[][] edges) {
List<Integer> leaf = new ArrayList<>();
if(n<=1) {
leaf.add(0);
return leaf;
}
Map<Integer, List<Integer>> graph = new HashMap<>();
for(int i=0;i<n;i++) graph.put(i, new ArrayList<>());
int[] neighbors = new int[n];
for(int[] edge : edges) {
neighbors[edge[0]]++;
neighbors[edge[1]]++;
graph.get(edge[0]).add(edge[1]);
graph.get(edge[1]).add(edge[0]);
}
for(int i=0;i<n;i++) {
if(graph.get(i).size() ==1 ) leaf.add(i);
}
while(n>2) {
List<Integer> newLeaf = new ArrayList<>();
for(int l : leaf) {
n--;
for(int nb : graph.get(l)) {
if(--neighbors[nb] == 1) newLeaf.add(nb);
}
}
leaf = newLeaf;
}
return leaf;
}
本文介绍了一种算法,用于在给定的无向图中找到所有最小高度树的根节点。通过构建图,找到叶子节点并逐层删除它们,直到剩下不超过两个节点为止。
1017

被折叠的 条评论
为什么被折叠?



