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Problem: Parallel Courses III

Medium
30 min
Explore how to determine the minimum time to complete a set of courses given prerequisites and individual durations. Understand scheduling in directed acyclic graphs by applying topological sort to optimize parallel course completion, helping you solve dependency and time management interview problems.

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

  • 00 \leq relations.length min(n(n1)/2,5×104)\leq \min\left(n \cdot (n - 1) / 2, 5 \times 10^4\right)

  • relations[j].length =2= 2

  • 1prevCoursej1 \leq \text{prevCourse}_j, nextCoursejn\text{nextCourse}_j \leq n

  • prevCoursejnextCoursej\text{prevCourse}_j \neq \text{nextCourse}_j

  • All pairs prevCoursej\text{prevCourse}_j, nextCoursej\text{nextCourse}_j are unique.

  • time.length =n= n

  • 11 \leq time[i] 104\leq 10^4

  • The prerequisite graph is a directed acyclic graph (DAG).

Problem
Ask
Submissions

Problem: Parallel Courses III

Medium
30 min
Explore how to determine the minimum time to complete a set of courses given prerequisites and individual durations. Understand scheduling in directed acyclic graphs by applying topological sort to optimize parallel course completion, helping you solve dependency and time management interview problems.

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

  • 00 \leq relations.length min(n(n1)/2,5×104)\leq \min\left(n \cdot (n - 1) / 2, 5 \times 10^4\right)

  • relations[j].length =2= 2

  • 1prevCoursej1 \leq \text{prevCourse}_j, nextCoursejn\text{nextCourse}_j \leq n

  • prevCoursejnextCoursej\text{prevCourse}_j \neq \text{nextCourse}_j

  • All pairs prevCoursej\text{prevCourse}_j, nextCoursej\text{nextCourse}_j are unique.

  • time.length =n= n

  • 11 \leq time[i] 104\leq 10^4

  • The prerequisite graph is a directed acyclic graph (DAG).