Course Schedule
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:
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.
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.
- 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.
- There are several ways to represent a graph. For example, the input prerequisites is a graph represented by a list of edges. Is this graph representation appropriate?
- 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.
这题的重点在于找到不depend on any node的node, 然后一层一层的降depend。
时间复杂度是O(n^2) n为node的个数
空间复杂度是O(e) e 为depend 的个数(即: 边数)
1 public class Solution { 2 public boolean canFinish(int numCourses, int[][] prerequisites) { 3 if(prerequisites == null || prerequisites.length == 0 || prerequisites[0].length != 2){ 4 return true; 5 } 6 int[] depend = new int[numCourses];//node[i] depends on depend[i] # of nodes 7 //arraylist of node depends on node key 8 HashMap<Integer, ArrayList<Integer>> mapping = new HashMap<Integer, ArrayList<Integer>>(); 9 for(int i = 0; i < prerequisites.length; i ++){ 10 depend[prerequisites[i][0]] ++; 11 if(mapping.containsKey(prerequisites[i][1])){ 12 mapping.get(prerequisites[i][1]).add(prerequisites[i][0]); 13 }else{ 14 ArrayList<Integer> list = new ArrayList<Integer>(); 15 list.add(prerequisites[i][0]); 16 mapping.put(prerequisites[i][1], list); 17 } 18 } 19 while(mapping.size() != 0){ 20 boolean flg = false; 21 for(int i = 0; i < numCourses; i ++){ 22 if(depend[i] == 0 && mapping.containsKey(i)){ 23 //this node doesn't depend on any node, but some node depend on it 24 flg = true; 25 for(Integer pos : mapping.get(i)){ 26 depend[pos] --; 27 } 28 mapping.remove(i); 29 } 30 } 31 if(flg == false){ 32 return false; 33 } 34 } 35 return true; 36 } 37 }
posted on 2015-05-07 11:55 Step-BY-Step 阅读(199) 评论(0) 编辑 收藏 举报