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LeetCode 207. Course Schedule

Question

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?

For example:

1
2, [[1,0]]

There are a total of 2 courses to take. To take course 1 you should have finished course 0. So it is possible.

1
2, [[1,0],[0,1]]

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. click to show more hints.

Hints: This problem is equivalent to finding if a cycle exists in a directed graph. If a cycle exists, no topological ordering exists and therefore it will be impossible to take all courses. Topological Sort via DFS - A great video tutorial (21 minutes) on Coursera explaining the basic concepts of Topological Sort. Topological sort could also be done via BFS.

Explanation

这道题只要看可不可能,那么我们只要将graph理清楚,找到每个先修课的个数,依次放入队列就好了。

Code

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