Hard
You are given an integer n
, which indicates that there are n
courses labeled from 1
to n
. You are also given a 2D integer array relations
where relations[j] = [prevCoursej, nextCoursej]
denotes that course prevCoursej
has to be completed before course nextCoursej
(prerequisite relationship). Furthermore, you are given a 0-indexed integer array time
where time[i]
denotes how many months it takes to complete the (i+1)th
course.
You must find the minimum number of months needed to complete all the courses following these rules:
Return the minimum number of months needed to complete all the courses.
Note: The test cases are generated such that it is possible to complete every course (i.e., the graph is a directed acyclic graph).
Example 1:
Input: n = 3, relations = [[1,3],[2,3]], time = [3,2,5]
Output: 8
Explanation:
The figure above represents the given graph and the time required to complete each course.
We start course 1 and course 2 simultaneously at month 0.
Course 1 takes 3 months and course 2 takes 2 months to complete respectively.
Thus, the earliest time we can start course 3 is at month 3, and the total time required is 3 + 5 = 8 months.
Example 2:
Input: n = 5, relations = [[1,5],[2,5],[3,5],[3,4],[4,5]], time = [1,2,3,4,5]
Output: 12
Explanation: The figure above represents the given graph and the time required to complete each course.
You can start courses 1, 2, and 3 at month 0.
You can complete them after 1, 2, and 3 months respectively.
Course 4 can be taken only after course 3 is completed, i.e., after 3 months. It is completed after 3 + 4 = 7 months.
Course 5 can be taken only after courses 1, 2, 3, and 4 have been completed, i.e., after max(1,2,3,7) = 7 months.
Thus, the minimum time needed to complete all the courses is 7 + 5 = 12 months.
Constraints:
1 <= n <= 5 * 104
0 <= relations.length <= min(n * (n - 1) / 2, 5 * 104)
relations[j].length == 2
1 <= prevCoursej, nextCoursej <= n
prevCoursej != nextCoursej
[prevCoursej, nextCoursej]
are unique.time.length == n
1 <= time[i] <= 104
import java.util.ArrayDeque
import java.util.Queue
class Solution {
fun minimumTime(n: Int, relations: Array<IntArray>, time: IntArray): Int {
val v = time.size
val adj: MutableList<MutableList<Int>> = ArrayList()
for (i in 0 until v) {
adj.add(ArrayList())
}
val indegree = IntArray(v)
val requiredTime = IntArray(v)
for (relation in relations) {
val vertices = adj[relation[0] - 1]
vertices.add(relation[1] - 1)
indegree[relation[1] - 1]++
}
val q: Queue<Int> = ArrayDeque()
for (i in 0 until v) {
if (indegree[i] == 0) {
q.add(i)
requiredTime[i] = time[i]
}
}
while (q.isNotEmpty()) {
val vertex = q.poll()
val edges: List<Int> = adj[vertex]
for (e in edges) {
indegree[e]--
if (indegree[e] == 0) {
q.add(e)
}
val totalTime = time[e] + requiredTime[vertex]
if (requiredTime[e] < totalTime) {
requiredTime[e] = totalTime
}
}
}
var maxMonth = 0
for (i in 0 until n) {
maxMonth = Math.max(maxMonth, requiredTime[i])
}
return maxMonth
}
}