LeetCode207 课程安排

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, is it possible for you to finish all courses?

Example 1:

Input: 2, [[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: 2, [[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.
Note:

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.

拓扑排序解决:(BFS,DFS也可以,下次试试)

public boolean canFinish(int numCourses, int[][] prerequisites) {
        int[][] matrix = new int[numCourses][numCourses]; //构建图
        int[] indegree = new int[numCourses];	//入度
        for(int i = 0; i < prerequisites.length; i++){
            int ready = prerequisites[i][0];
            int pre = prerequisites[i][1];
            matrix[pre][ready] = 1;
            indegree[ready]++;
        }
        int count = 0;
        Queue<Integer> queue = new LinkedList();
        for(int i = 0; i < numCourses; i++){
            if(indegree[i] == 0){
                queue.offer(i);
            }
        }
        while(!queue.isEmpty()){
            int s = queue.poll();
            count++;
            for(int i = 0; i < numCourses; i++){
                if(matrix[s][i] != 0){
                    if(--indegree[i] == 0){
                        queue.offer(i);
                    }
                }
                matrix[s][i] = 0;
            }
        }
        return count==numCourses;
    }

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转载自blog.csdn.net/fruit513/article/details/84850387
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