You are given an integer n
and a Directed Acyclic Graph (DAG) with n
nodes labeled from 0 to n - 1
. This is represented by a 2D array edges
, where edges[i] = [ui, vi, wi]
indicates a directed edge from node ui
to vi
with weight wi
.
You are also given two integers, k
and t
.
Your task is to determine the maximum possible sum of edge weights for any path in the graph such that:
k
edges.t
.Return the maximum possible sum of weights for such a path. If no such path exists, return -1
.
Example 1:
Input: n = 3, edges = [[0,1,1],[1,2,2]], k = 2, t = 4
Output: 3
Explanation:
k = 2
edges is 0 -> 1 -> 2
with weight 1 + 2 = 3 < t
.t
is 3.Example 2:
Input: n = 3, edges = [[0,1,2],[0,2,3]], k = 1, t = 3
Output: 2
Explanation:
k = 1
edge:
0 -> 1
with weight 2 < t
.0 -> 2
with weight 3 = t
, which is not strictly less than t
.t
is 2.Example 3:
Input: n = 3, edges = [[0,1,6],[1,2,8]], k = 1, t = 6
Output: -1
Explanation:
0 -> 1
with weight 6 = t
, which is not strictly less than t
.1 -> 2
with weight 8 > t
, which is not strictly less than t
.t
, the answer is -1.
Constraints:
1 <= n <= 300
0 <= edges.length <= 300
edges[i] = [ui, vi, wi]
0 <= ui, vi < n
ui != vi
1 <= wi <= 10
0 <= k <= 300
1 <= t <= 600