Description
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]
).
Example 1:
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.
Example 2:
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]]
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.
Code
class Solution {
public:
vector<vector<int>> allPathsSourceTarget(vector<vector<int>>& graph) {
vector<vector<int>> res;
int n = graph.size();
vector<int> path = {};
dfs(graph, res, path, 0, n);
return res;
}
void dfs(vector<vector<int>>& graph, vector<vector<int>>& res, vector<int>& path, int node, int n) {
path.push_back(node);
if(node == n - 1) {
res.push_back(path);
} else {
for(auto neighbor: graph[node]) {
dfs(graph, res, path, neighbor, n);
}
}
path.pop_back();
}
};
class Solution {
vector<vector<int>> res;
vector<int> cur;
int target;
public:
vector<vector<int>> allPathsSourceTarget(vector<vector<int>>& graph) {
target = graph.size() - 1;
dfs(0, graph);
return res;
}
void dfs(int index, vector<vector<int>>& adj) {
cur.push_back(index);
if(index == target) {
res.push_back(cur);
cur.pop_back();
return;
}
for(auto neighbor: adj[index]) {
dfs(neighbor, adj);
}
cur.pop_back();
}
};