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If tasks can be reused infinitely (i.e., unlimited supply of each task type), how should the Task Scheduler algorithm be modified to find the minimum total time with cooldown n?

hard🎤 Interviewer Follow-up Q15 of Q15
Greedy Algorithms - Task Scheduler (CPU Cooling)
If tasks can be reused infinitely (i.e., unlimited supply of each task type), how should the Task Scheduler algorithm be modified to find the minimum total time with cooldown n?
AUse the same max-heap approach but reset frequencies after each full cycle
BCalculate the minimal cycle length as (n + 1) and multiply by the number of unique tasks
CSince tasks are infinite, schedule tasks in a fixed repeating pattern of length (n + 1) without heap
DThe problem reduces to scheduling one task repeatedly with cooldown, so total time is tasks count
Step-by-Step Solution
  1. Step 1: Understand infinite reuse implication

    With infinite supply, the scheduler can always pick a different task to fill cooldown slots.
  2. Step 2: Optimal scheduling pattern

    Tasks can be scheduled in a fixed repeating pattern of length n + 1, cycling through unique tasks to avoid idle time.
  3. Step 3: Algorithm modification

    No need for frequency tracking or heap; just cycle through unique tasks repeatedly.
  4. Final Answer:

    Option C -> Option C
  5. Quick Check:

    Infinite tasks allow fixed pattern scheduling without heap [OK]
Quick Trick: Infinite tasks -> fixed repeating pattern of length n+1 [OK]
Common Mistakes:
MISTAKES
  • Trying to use heap with infinite tasks
  • Multiplying cycles incorrectly
  • Ignoring cooldown constraints
Trap Explanation:
PITFALL
  • Naively reusing heap approach fails because frequencies no longer limit scheduling order.
Interviewer Note:
CONTEXT
  • Tests if candidate can adapt algorithm to fundamental problem changes and reason about infinite supplies.
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