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What is the overall time complexity of this approach given n box types?

medium📊 Complexity Theory Q5 of Q15
Greedy Algorithms - Maximum Units on a Truck
Consider an algorithm that sorts box types by units per box in descending order and then iteratively loads boxes until the truck is full. What is the overall time complexity of this approach given n box types?
AO(n log n)
BO(n^2)
CO(log n)
DO(n)
Step-by-Step Solution
Solution:
  1. Step 1: Sorting the box types

    The algorithm sorts the array of box types by units per box in descending order. Sorting takes O(n log n) time.
  2. Step 2: Iterating through sorted box types

    After sorting, the algorithm iterates through the list once to pick boxes until the truck is full, which takes O(n) time.
  3. Final Answer:

    Option A -> Option A
  4. Quick Check:

    Sorting dominates iteration [OK]
Quick Trick: Sorting dominates complexity, so O(n log n) [OK]
Common Mistakes:
MISTAKES
  • Assuming iteration dominates and choosing O(n)
  • Confusing sorting with nested loops leading to O(n^2)
  • Ignoring sorting step complexity
Trap Explanation:
PITFALL
  • Ignoring sorting step leads to underestimating complexity
Interviewer Note:
CONTEXT
  • Tests understanding of time complexity in greedy algorithms
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