207. Course Schedule
Leetcode Graph Depth-first Search Breath-first Search Topological SortThere 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.
- You may assume that there are no duplicate edges in the input prerequisites.
分析¶
DFS的常见应用。检查有向图是不是DAG,即有没有环。详见Algorithms 4th,思路很简单,如果在遍历了v->w时,发现w在栈上,那么说明肯定有环,因为既然w在栈上,说明肯定有一条路径使得w->v。
private boolean hasCycle;
public boolean canFinish(int numCourses, int[][] prerequisites) {
hasCycle = false;
// construct a graph
List<List<Integer>> graph = new ArrayList<>();
for (int i = 0; i < numCourses; i++)
graph.add(new ArrayList<Integer>());
for (int[] prerequisite : prerequisites)
graph.get(prerequisite[1]).add(prerequisite[0]);
// dfs
boolean[] mark = new boolean[numCourses];
boolean[] onStack = new boolean[numCourses];
for (int v = 0; v < numCourses; v++)
if (!hasCycle & !mark[v])
dfs(graph, mark, onStack, v);
return !hasCycle;
}
private void dfs(List<List<Integer>> graph, boolean[] mark, boolean[] onStack, int v) {
mark[v] = true;
onStack[v] = true;
for (int w : graph.get(v)) {
if (!hasCycle & !mark[w])
dfs(graph, mark, onStack, w);
else if (onStack[w]) hasCycle = true;
}
onStack[v] = false;
}