• [LintCode] Find the Weak Connected Component in the Directed Graph


    Find the Weak Connected Component in the Directed Graph

    Find the number Weak Connected Component in the directed graph. Each node in the graph contains a label and a list of its neighbors. (a connected set of a directed graph is a subgraph in which any two vertices are connected by direct edge path.)

    Example

    Given graph:

    A----->B  C
          |  | 
          |  |
          |  |
          v  v
         ->D  E <- F
    

    Return {A,B,D}, {C,E,F}. Since there are two connected component which are{A,B,D} and {C,E,F}

    Note

    Sort the element in the set in increasing order

    Union-Find,并查集!注意fa每次都要重新求,因为fa的值可能在之前的循环中被更新。

     1 /**
     2  * Definition for Directed graph.
     3  * struct DirectedGraphNode {
     4  *     int label;
     5  *     vector<DirectedGraphNode *> neighbors;
     6  *     DirectedGraphNode(int x) : label(x) {};
     7  * };
     8  */
     9 class Solution {
    10 public:
    11     /**
    12      * @param nodes a array of directed graph node
    13      * @return a connected set of a directed graph
    14      */
    15     int find(unordered_map<int, int> &father, int x) {
    16         if (father.find(x) == father.end()) {
    17             father[x] = x;
    18             return x;
    19         }
    20         while (x != father[x]) x = father[x];
    21         return x;
    22     }
    23     vector<vector<int>> connectedSet2(vector<DirectedGraphNode*>& nodes) {
    24         // Write your code here
    25         unordered_map<int, int> father;
    26         int fa, fb, fn;
    27         for (auto &n : nodes) {
    28             for (auto &nn : n->neighbors) {
    29                 fa = find(father, n->label);
    30                 fb = find(father, nn->label);
    31                 if (fa != fb) {
    32                     if (fa > fb) father[fa] = fb;
    33                     else father[fb] = fa;
    34                 }
    35             }
    36         }
    37         unordered_map<int, vector<int>> comp;
    38         for (auto &n : nodes) {
    39             fn = find(father, n->label);
    40             comp[fn].push_back(n->label);
    41         }
    42         vector<vector<int>> res;
    43         for (auto &c : comp) {
    44             sort(c.second.begin(), c.second.end());
    45             res.push_back(c.second);
    46         }
    47         return res;
    48     }
    49 };
  • 相关阅读:
    团队项目01应用场景
    团队项目冲刺第一阶段03
    团队冲刺第一阶段02
    团队冲刺第一阶段01
    基于 Scrapy-redis 的分布式爬虫详细设计
    创建CrawlSpider爬虫简要步骤
    如何将redis中的数据导入到本地MongoDB和MySQL数据库
    远程访问ubuntu下mysql的问题
    vi命令汇总
    Chrome/FireFox处理JSON的插件
  • 原文地址:https://www.cnblogs.com/easonliu/p/4607300.html
Copyright © 2020-2023  润新知