[LeetCode] Course Schedule II

本文深入探讨了一种课程排序算法,该算法基于拓扑排序原理,用于确定完成一系列课程的合理顺序,考虑到课程间的先修关系。通过实例演示了算法的具体实现过程,包括构建课程依赖图、计算入度、使用队列进行广度优先搜索等关键步骤。

There are a total of n courses you have to take, labeled from 0 to n - 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, return the ordering of courses you should take to finish all courses.

There may be multiple correct orders, you just need to return one of them. If it is impossible to finish all courses, return an empty array.

For example:

2, [[1,0]]

There are a total of 2 courses to take. To take course 1 you should have finished course 0. So the correct course order is [0,1]

4, [[1,0],[2,0],[3,1],[3,2]]

There are a total of 4 courses to take. To take course 3 you should have finished both courses 1 and 2. Both courses 1 and 2 should be taken after you finished course 0. So one correct course order is [0,1,2,3]. Another correct ordering is[0,2,1,3].

Note:
The input prerequisites is a graph represented by a list of edges, not adjacency matrices. Read more about how a graph is represented.

click to show more hints.

 1 class Solution {
 2 public:
 3     vector<int> findOrder(int numCourses, vector<pair<int, int>>& prerequisites) {
 4         vector<int> res;
 5         vector<vector<int>> graph(numCourses, vector<int>(0));
 6         vector<int> inDegree(numCourses, 0);
 7         for (auto u : prerequisites) {
 8             graph[u.second].push_back(u.first);
 9             ++inDegree[u.first];
10         }
11         queue<int> que;
12         for (int i = 0; i < numCourses; ++i) {
13             if (inDegree[i] == 0) que.push(i);
14         }
15         while (!que.empty()) {
16             int u = que.front();
17             res.push_back(u);
18             que.pop();
19             for (auto v : graph[u]) {
20                 --inDegree[v];
21                 if (inDegree[v] == 0) que.push(v);
22             }
23         }
24         if (res.size() != numCourses) res.clear();
25         return res;
26     }
27 };

 

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