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Solution: Parallel Courses III

Explore how to solve dependency-based course scheduling by applying topological sorting on a directed acyclic graph. Understand the process of tracking prerequisites, updating completion times, and determining the shortest time to finish all courses.

Statement  

You are tasked with determining the minimum time required to complete a set of courses, given their prerequisite relationships and individual durations.

There are n courses labeled from 1 to n. The prerequisite relationships between these courses are provided as a 2D integer array relations, where each entry relations[j]=[prevCoursej,nextCoursej]\text{relations}[j] = [\text{prevCourse}_j, \text{nextCourse}_j] indicates that course prevCoursej\text{prevCourse}_j must be completed before course nextCoursej\text{nextCourse}_j. An array, time, is also given, where time[i] specifies the number of months required to complete the course labeled i + 1.

You may begin any course as soon as you have completed all its prerequisites. If all the prerequisites are satisfied, multiple courses may be taken simultaneously. Calculate the minimum months needed to finish all the courses.

Note: The given prerequisite structure is guaranteed to form a directed acyclic graph (DAG), ensuring that all courses can be completed.

Constraints:

  • 1n5×1041 \leq n \leq 5 \times 10^4 ...