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  • 【刷题-LeetCode】207. Course Schedule

    1. Course Schedule

    There are a total of numCourses courses you have to take, labeled from 0 to numCourses-1.

    Some courses may have prerequisites, for example to take course 0 you have to first take course 1, which is expressed as a pair: [0,1]

    Given the total number of courses and a list of prerequisite pairs, is it possible for you to finish all courses?

    Example 1:

    Input: numCourses = 2, prerequisites = [[1,0]]
    Output: true
    Explanation: There are a total of 2 courses to take. 
                 To take course 1 you should have finished course 0. So it is possible.
    

    Example 2:

    Input: numCourses = 2, prerequisites = [[1,0],[0,1]]
    Output: false
    Explanation: There are a total of 2 courses to take. 
                 To take course 1 you should have finished course 0, and to take course 0 you should
                 also have finished course 1. So it is impossible.
    

    Constraints:

    • The input prerequisites is a graph represented by a list of edges, not adjacency matrices. Read more about how a graph is represented.
    • You may assume that there are no duplicate edges in the input prerequisites.
    • 1 <= numCourses <= 10^5

    解法1 拓扑排序。如果能完整排序,说明可以修完所有的课程

    class Solution {
    public:
        bool canFinish(int numCourses, vector<vector<int>>& prerequisites) {
            vector<vector<int>>g(numCourses);
            vector<int>d(numCourses, 0);
            build_graph(numCourses, prerequisites, g, d);
            
            return topological_sort(numCourses, g, d);
        }
        void build_graph(int numCourses, vector<vector<int>>& prerequisites,
                        vector<vector<int>>&g, vector<int>&d){
            for(auto x: prerequisites){
                g[x[1]].push_back(x[0]);
                d[x[0]]++;
            }
        }
        bool topological_sort(int numCourses, vector<vector<int>> &g, vector<int>&d){
            
            vector<bool>vis(numCourses, false);
            bool flag;
            while(1){
                int u = -1;
                flag = false;
                for(int i = 0; i < numCourses; ++i){
                    if(d[i] == 0 && vis[i] == false)u = i;
                    if(d[i] != 0)flag = true;
                }
                if(u == -1)break;
                vis[u] = true;
                for(auto v : g[u])d[v]--;
            }
            return !flag;
        }
    };
    

    解法2 dfs。枚举每个节点,看该节点能不能形成环

    class Solution {
    public:
        bool canFinish(int numCourses, vector<vector<int>>& prerequisites) {
            vector<vector<int>>g(numCourses);
            vector<int>d(numCourses, 0);
            build_graph(numCourses, prerequisites, g, d);
            
            vector<bool>tested(numCourses, false); // 避免对同一条路径上的节点重复测试
            for(int s = 0; s < numCourses; ++s){
                if(!tested[s]){
                    vector<bool>vis(numCourses, false);
                    bool flag = false;
                    dfs(g, s, vis, tested, flag);
                    if(flag)return false;
                }
            }
            return true;
        }
        void dfs(vector<vector<int>> &g, int s, vector<bool>&vis, vector<bool> &tested, bool &flag){
            if(flag)return;
            for(auto v: g[s]){
                if(vis[v]){
                    flag = true;
                    return;
                }
                vis[v] = true;
                dfs(g, v, vis, tested, flag);
                vis[v] = false;
            }
            tested[s] = true;
        }
        void build_graph(int numCourses, vector<vector<int>>& prerequisites,
                        vector<vector<int>>&g, vector<int>&d){
            for(auto x: prerequisites){
                g[x[1]].push_back(x[0]);
                d[x[0]]++;
            }
        }
    };
    
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  • 原文地址:https://www.cnblogs.com/vinnson/p/13303725.html
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