Given a directed, acyclic graph of N
nodes. Find all possible paths from node 0
to node N-1
, and return them in any order.
The graph is given as follows: the nodes are 0, 1, ..., graph.length - 1. graph[i] is a list of all nodes j for which the edge (i, j) exists.
Example: Input: [[1,2], [3], [3], []] Output: [[0,1,3],[0,2,3]] Explanation: The graph looks like this: 0--->1 | | v v 2--->3 There are two paths: 0 -> 1 -> 3 and 0 -> 2 -> 3.
Note:
[2, 15]
.所有可能的路径。这个题是一道比较典型的把回溯backtracking应用到图的题目。既然是是找all possible paths,所以会想到类似DFS/backtracking的思路。面试遇到了不能做不出来啊。。。(# ̄~ ̄#)
base case是当前遍历到graph里面的最后一个节点,则把当前list的结果加入结果集;其他部分则是跟其他经典的回溯类型的题没有区别
时间O(n)
空间O(n)
Java实现
1 class Solution { 2 public List<List<Integer>> allPathsSourceTarget(int[][] graph) { 3 List<List<Integer>> res = new ArrayList<>(); 4 List<Integer> path = new ArrayList<>(); 5 path.add(0); 6 dfs(graph, 0, res, path); 7 return res; 8 } 9 10 private void dfs(int[][] graph, int index, List<List<Integer>> res, List<Integer> path) { 11 // base case 12 if (index == graph.length - 1) { 13 res.add(new ArrayList<>(path)); 14 return; 15 } 16 for (int next : graph[index]) { 17 path.add(next); 18 dfs(graph, next, res, path); 19 path.remove(path.size() - 1); 20 } 21 } 22 }
[LeetCode] 797. All Paths From Source to Target
原文:https://www.cnblogs.com/cnoodle/p/13375308.html