Problem
Ask
Submissions

Problem: Schedule Tasks on Minimum Machines

Medium
30 min
Explore how to determine the minimum number of machines required to schedule tasks with given start and end times. Understand using heaps to manage overlapping tasks, ensuring no two tasks run simultaneously on the same machine. Practice this common scheduling pattern to improve your coding interview skills.

Statement

We are given an input array, tasks, where tasks[i] =[starti,endi]= [start_i, end_i] represents the start and end times of nn tasks. Our goal is to schedule these tasks on machines given the following criteria:

  1. A machine can execute only one task at a time.

  2. A machine can begin executing a new task immediately after completing the previous one.

  3. An unlimited number of machines are available.

Find the minimum number of machines required to complete these nn tasks.

Constraints:

  • n==n == tasks.length

  • 11 \leq tasks.length 103\leq 10^3

  • 00 \leq tasksi.start << tasksi.end 104\leq 10^4

Problem
Ask
Submissions

Problem: Schedule Tasks on Minimum Machines

Medium
30 min
Explore how to determine the minimum number of machines required to schedule tasks with given start and end times. Understand using heaps to manage overlapping tasks, ensuring no two tasks run simultaneously on the same machine. Practice this common scheduling pattern to improve your coding interview skills.

Statement

We are given an input array, tasks, where tasks[i] =[starti,endi]= [start_i, end_i] represents the start and end times of nn tasks. Our goal is to schedule these tasks on machines given the following criteria:

  1. A machine can execute only one task at a time.

  2. A machine can begin executing a new task immediately after completing the previous one.

  3. An unlimited number of machines are available.

Find the minimum number of machines required to complete these nn tasks.

Constraints:

  • n==n == tasks.length

  • 11 \leq tasks.length 103\leq 10^3

  • 00 \leq tasksi.start << tasksi.end 104\leq 10^4