Redundant Connection
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Redundant Connection
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 undirected edge 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.
FROM:
LeetCode-Algorithms-graph
Hint:
这道题说是要把图上的一条边删去,把无向图变成一颗树。但事实上,从题目最后说“如果有多种选择选择后出现的一种”可以知道,其实是要一条条边加进去,去画一棵树。那这样我们每次新加一条边,就要判断一下,会不会构成环路。如果构成回路,就说明这条新边就是我们要删除的边。
那么,怎么判断是否构成回路呢?构成回路的条件是很显然的,新加入的边所对应的两个节点中间有通路。当然如果要去遍历树看看是否有通路,这样的开销太大了。我们试着想一下,在加入这条边之前,这个无向图是一个森林或者一棵树,如果两个节点之间有通路,那么它们必然在一棵树上,那么它们必然有一个共同的祖先,即树根。
这样我们只要维护一个数组,记录节点的祖先节点,每次加入新边时,判断两个节点的祖先节点是否相同即可。当然我们判断祖先是否相同时,一定要判断节点辈分最高的祖先。
class Solution {public: vector<int> findRedundantConnection(vector<vector<int>>& edges) { int *parent = new int[edges.size()+1]; for (int i = 0; i < edges.size()+1; i++) { parent[i] = i; } int p1, p2; for (auto e : edges) { p1 = getParent(e[0], parent); p2 = getParent(e[1], parent); if (p1 == p2) { return e; } else { parent[p2] = p1; } } vector<int> no; return no; } int getParent(int a, int *parent) { if (a != parent[a]) { parent[a] = getParent(parent[a], parent); } return parent[a]; }};
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