797 - All Paths From Source to Target
797 - All Paths From Source to Target
Given a directed acyclic graph (DAG) of n nodes labeled from 0 to n - 1, find all possible paths from node 0 to node n - 1 and return them in any order.
The graph is given as follows: graph[i] is a list of all nodes you can visit from node i (i.e., there is a directed edge from node i to node graph[i][j]).
Examples
Input: graph = [[1,2],[3],[3],[]] Output: [[0,1,3],[0,2,3]] Explanation: There are two paths: 0 -> 1 -> 3 and 0 -> 2 -> 3.
Input: graph = [[4,3,1],[3,2,4],[3],[4],[]] Output: [[0,4],[0,3,4],[0,1,3,4],[0,1,2,3,4],[0,1,4]]
Input: graph = [[1],[]] Output: [[0,1]]
Input: graph = [[1,2,3],[2],[3],[]] Output: [[0,1,2,3],[0,2,3],[0,3]]
Input: graph = [[1,3],[2],[3],[]] Output: [[0,1,2,3],[0,3]]
Constraints
n == graph.length
2 <= n <= 15
0 <= graph[i][j] < n
graph[i][j] != i (i.e., there will be no self-loops).
All the elements of graph[i] are unique.
The input graph is guaranteed to be a DAG.
Java Solution (Backtracking)
class Solution {
public List<List<Integer>> allPathsSourceTarget(int[][] graph) {
List<List<Integer>> result = new ArrayList<>();
int target = graph.length-1;
LinkedList<Integer> path = new LinkedList<Integer>();
path.addLast(0);
backtrack(0, path, target, result, graph);
return result;
}
private void backtrack(int currNode, LinkedList<Integer> path, int target, List<List<Integer>> result, int[][] graph){
if (currNode == target) {
result.add(new ArrayList<Integer>(path));
return;
}
for (int nextNode : graph[currNode]) {
path.addLast(nextNode);
backtrack(nextNode, path, target, result, graph);
path.removeLast();
}
}
}
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