ID | Title | Difficulty | |
---|---|---|---|
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207. Course Schedule
Medium
LeetCode
Depth-First Search, Breadth-First Search, Graph, Topological Sort
Problem
There are a total of numCourses
courses you have to take, labeled from 0
to numCourses - 1
. You are given an array prerequisites
where prerequisites[i] = [a_i, b_i]
indicates that you must take course bi
first if you want to take course ai
.
- For example, the pair
[0, 1]
, indicates that to take course0
you have to first take course1
.
Return true
if you can finish all courses. Otherwise, return false
.
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:
1 <= numCourses <= 2000
0 <= prerequisites.length <= 5000
prerequisites[i].length == 2
0 <= ai, bi < numCourses
- All the pairs prerequisites[i] are unique.
Code
class Solution {
public boolean canFinish(int numCourses, int[][] prerequisites) {
int[] indegree = new int[numCourses];
int res = numCourses;
// 找入度为0,表示可以开始学习的课
for(int[] pair : prerequisites){
// [1,0] => 0->1
indegree[pair[0]]++;
}
Queue<Integer> queue = new LinkedList<>();
// 入度为0的加入,然后bfs
for(int i = 0; i < indegree.length; i++){
if(indegree[i] == 0){
// 当前这个课已经可以学了
queue.offer(i);
}
}
while(!queue.isEmpty()){
int curr = queue.poll();
for(int[] pair : prerequisites){
// 如果这门课已经可以学习了,就不加入queue
if(indegree[pair[0]] == 0){
continue;
}
if(pair[1] == curr){
indegree[pair[0]]--;
}
// 这门课原来不能学习,现在可以学习了
if(indegree[pair[0]] == 0){
queue.offer(pair[0]);
}
}
}
for(int i = 0; i < numCourses; i++){
if(indegree[i] != 0){
return false;
}
}
return true;
}
}
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