题目原文:(id=210)
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].
vector<int> findOrder(int numCourses, vector<pair<int, int>>& prerequisites) {
int n = numCourses;
vector<vector<int> > adj(n);
vector<int> indegree(n, 0);
for (int i = 0;i < prerequisites.size();i++) {
adj[prerequisites[i].second].push_back(prerequisites[i].first);
indegree[prerequisites[i].first]++;
}
vector<int> seq;
queue<int> open;
for (int i = 0;i < n;i++) {
if (indegree[i] == 0) {
open.push(i);
seq.push_back(i);
}
}
while (open.size()) {
int pos = open.front();
open.pop();
for (int i = 0;i < adj[pos].size();i++) {
int nw = adj[pos][i];
indegree[nw]--;
if (indegree[nw] == 0) {
open.push(nw);
seq.push_back(nw);
}
}
}
if (seq.size() == n) return seq;
else return vector<int>();
}
本文介绍了一种用于确定课程先修顺序的算法实现。通过构建有向无环图并使用拓扑排序来解决课程依赖问题,确保学生能按照正确的顺序完成所有必修课程。文章详细解释了如何将课程依赖关系转换为邻接矩阵,并通过逐步减少节点入度来得到一个有效的课程学习顺序。
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