Open
Description
Description
There are a total of
numCourses
courses you have to take, labeled from0
tonumCourses-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
DFS
class Solution {
public boolean canFinish(int N, int[][] preqs) {
ArrayList[] G = new ArrayList[N];
for (int i = 0; i < N; i++) {
G[i] = new ArrayList();
}
for (int i = 0; i < preqs.length; i++) {
G[preqs[i][1]].add(preqs[i][0]); // G[1]=[0, 2, ...]把1的先修课加到集合里
}
boolean[] visited = new boolean[N];
for (int course_idx = 0; course_idx < N; course_idx++) {
if (!dfs(G, visited, course_idx)) {
return false;
}
}
return true;
}
private boolean dfs(ArrayList[] G, boolean[] visited, int course) {
if (visited[course] == true)
return false;
visited[course] = true;
for (int i = 0; i < G[course].size(); i++) {
if (!dfs(G, visited, (int)G[course].get(i)))
return false;
}
visited[course] = false;
return true;
}
}