原题链接在这里:https://leetcode.com/problems/redundant-connection/
题目:
In this problem, a tree is an undirected graph that is connected and has no cycles.
The given input is a graph that started as a tree with N nodes (with distinct values 1, 2, ..., N), with one additional edge added. The added edge has two different vertices chosen from 1 to N, and was not an edge that already existed.
The resulting graph is given as a 2D-array of edges
. Each element of edges
is a pair [u, v]
with u < v
, that represents an undirectededge connecting nodes u
and v
.
Return an edge that can be removed so that the resulting graph is a tree of N nodes. If there are multiple answers, return the answer that occurs last in the given 2D-array. The answer edge [u, v]
should be in the same format, with u < v
.
Example 1:
Input: [[1,2], [1,3], [2,3]] Output: [2,3] Explanation: The given undirected graph will be like this: 1 / 2 - 3
Example 2:
Input: [[1,2], [2,3], [3,4], [1,4], [1,5]] Output: [1,4] Explanation: The given undirected graph will be like this: 5 - 1 - 2 | | 4 - 3
Note:
- The size of the input 2D-array will be between 3 and 1000.
- Every integer represented in the 2D-array will be between 1 and N, where N is the size of the input array.
Update (2017-09-26):
We have overhauled the problem description + test cases and specified clearly the graph is an undirected graph. For the directed graph follow up please see Redundant Connection II). We apologize for any inconvenience caused.
题解:
For each edge, union edge[0] and edge[1]. If edge[0] and edge[1] are already in the same union. Then current edge is redundant.
Time Complexity: O(nlogn). find takes O(logn). With path compression and union by weight, amatorize O(1).
Space: O(n).
AC Java:
1 class Solution { 2 int [] parent; 3 int [] size; 4 5 public int[] findRedundantConnection(int[][] edges) { 6 int n = edges.length; 7 parent = new int[n+1]; 8 size = new int[n+1]; 9 10 for(int i = 0; i<=n; i++){ 11 parent[i] = i; 12 size[i] = 1; 13 } 14 15 for(int [] edge: edges){ 16 if(find(edge[0]) == find(edge[1])){ 17 return edge; 18 } 19 20 union(edge[0], edge[1]); 21 } 22 23 return null; 24 } 25 26 private int find(int i){ 27 if(i != parent[i]){ 28 parent[i] = find(parent[i]); 29 } 30 31 return parent[i]; 32 } 33 34 private void union(int i, int j){ 35 int p = find(i); 36 int q = find(j); 37 38 if(size[p] > size[q]){ 39 parent[q] = p; 40 size[p] += size[q]; 41 }else{ 42 parent[p] = q; 43 size[q] += size[p]; 44 } 45 } 46 }