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:
Copy 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:
Copy 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]]
Copy Example 3:
Input: graph = [[1],[]]
Output: [[0,1]]
Example 4:
Input: graph = [[1,2,3],[2],[3],[]]
Output: [[0,1,2,3],[0,2,3],[0,3]]
Example 5:
Input: graph = [[1,3],[2],[3],[]]
Output: [[0,1,2,3],[0,3]]
Solution: (DFS)
Copy class Solution
{
public :
void dfs ( vector < vector < int >> graph , int src , int dest , vector < int > v , vector < vector < int >> & res)
{
if (src == dest)
{
v . push_back (src);
res . push_back (v);
return ;
}
v . push_back (src);
for ( int i = 0 ; i < graph [src] . size (); i ++ )
{
dfs (graph , graph [src][i] , dest , v , res);
}
return ;
}
vector < vector < int >> allPathsSourceTarget ( vector < vector < int >> & graph)
{
vector <int> v;
vector < vector <int>> res;
int n = graph . size ();
dfs (graph , 0 , n - 1 , v , res);
return res;
}
};
Optimized some space by reusing the vector:
Copy class Solution
{
public :
void dfs ( vector < vector < int >> graph , int src , int dest , vector < int > & v , vector < vector < int >> & res)
{
if (src == dest)
{
v . push_back (src);
res . push_back (v);
v . pop_back ();
return ;
}
v . push_back (src);
for ( int i = 0 ; i < graph [src] . size (); i ++ )
{
dfs (graph , graph [src][i] , dest , v , res);
}
v . pop_back ();
return ;
}
vector < vector < int >> allPathsSourceTarget ( vector < vector < int >> & graph)
{
vector <int> v;
vector < vector <int>> res;
int n = graph . size ();
dfs (graph , 0 , n - 1 , v , res);
return res;
}
};
Time Complexity: O(v^v)