685. Redundant Connection II(java)

In this problem, a rooted tree is a directed graph such that, there is exactly one node (the root) for which all other nodes are descendants of this node, plus every node has exactly one parent, except for the root node which has no parents.

The given input is a directed graph that started as a rooted tree with N nodes (with distinct values 1, 2, …, N), with one additional directed 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] that represents a directed edge connecting nodes u and v, where u is a parent of child v.

Return an edge that can be removed so that the resulting graph is a rooted tree of N nodes. If there are multiple answers, return the answer that occurs last in the given 2D-array.

Example 1:
Input: [[1,2], [1,3], [2,3]]
Output: [2,3]
Explanation: The given directed graph will be like this:
  1
 / \
v   v
2-->3
Example 2:
Input: [[1,2], [2,3], [3,4], [4,1], [1,5]]
Output: [4,1]
Explanation: The given directed graph will be like this:
5 <- 1 -> 2
     ^    |
     |    v
     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.

主要是分清楚三种情况,case1: 只有环,没有node有两个parent;case2:有一个node有两个parent,删除任意一个都行,所以我们删除后出现的那个;case3:有一个node有两个parent,必须删除在环上的那个,所以我们先删除后出现的那个,再进行union find,看看如果还是connected,那么就返回第二个,否则返回第一个。
class Solution {
    public int[] findRedundantDirectedConnection(int[][] edges) {
        if (edges == null || edges.length == 0 || edges[0].length == 0) return new int[]{};
        int n = edges.length;
        int m = edges[0].length;
        int[] union = new int[n+1];
        int[] ans1 = new int[2];
        int[] ans2 = new int[2];
        for (int i = 0; i < n; i++) {
            if (union[edges[i][1]] != 0) {
                ans1[0] = union[edges[i][1]];
                ans1[1] = edges[i][1];
                ans2[0] = edges[i][0];
                ans2[1] = edges[i][1];
            } else {
                union[edges[i][1]] = edges[i][0];
            }
        }
        for (int i = 1; i <= n; i++) union[i] = i;
        if (ans1[0] == 0) {
            for (int i = 0; i < n; i++) {
                int leftRoot = find(edges[i][0], union);
                int rightRoot = find(edges[i][1], union);
                if (leftRoot == rightRoot) return edges[i];
                union[rightRoot] = leftRoot;
            }
        } else {
            for (int i = 0; i < n; i++) {
                if (edges[i][0] == ans2[0] && edges[i][1] == ans2[1]) continue;
                int leftRoot = find(edges[i][0], union);
                int rightRoot = find(edges[i][1], union);
                union[rightRoot] = leftRoot;
            }
        }
        int root = find(1, union);
        for (int i = 2; i <=n; i++) if (find(i, union) != root) return ans1;
        return ans2;
    }
    public int find(int n, int[] union) {
        while (n != union[n]) n = union[n];
        return n;
    }
}

你可能感兴趣的:(union,find)