All Paths From Source to Target

update 2018-10-09 18:01:46

LeetCode

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:

1. The number of nodes in the graph will be in the range [2, 15].
2. You can print different paths in any order, but you should keep the order of nodes inside one path.

Basic Idea:

因为要求所有的路径，可以使用DFS。但是考虑到从同一个点出发到终点的所有路径可能被重复求解，使用memorization优化时间复杂度。

这里有两点需要注意：

1. 要是用cache，就要得到每个点出发到dest的所有路径，此时只能使用返回值来返回所有path。
2. 因为我们每次在将结果加入ret的时候都会进行deep copy，所以返回cache中已经有的路径的时候可以直接返回。

3. Java Code：

   class Solution {
       public List<List<Integer>> allPathsSourceTarget(int[][] graph) {
           return dfs(graph, 0, new HashMap<>());
       }
   
       private List<List<Integer>> dfs(int[][] graph, int curr, Map<Integer, List<List<Integer>>> memory) {
           if (memory.containsKey(curr)) return memory.get(curr);
           List<List<Integer>> ret = new ArrayList<>();
           if (curr == graph.length - 1) {
               List<Integer> lst = new ArrayList<>();
               lst.add(graph.length - 1);
               ret.add(lst);
               memory.put(curr, ret);
               return ret;
           }
           for (int neighbor : graph[curr]) {
               List<List<Integer>> paths = dfs(graph, neighbor, memory);
               for (List<Integer> path : paths) {
                   List<Integer> lst = new ArrayList<>();
                   lst.add(curr);
                   lst.addAll(path);
                   ret.add(lst);
               }
           }
           memory.put(curr, ret);
           return ret;
       }
   }