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What is the time complexity of the optimal max heap approach to reorganize a string of length n with k unique characters?

medium🪤 Complexity Trap Q5 of Q15
Greedy Algorithms - Reorganize String (No Two Adjacent Same)
What is the time complexity of the optimal max heap approach to reorganize a string of length n with k unique characters?
AO(n * k)
BO(n log k)
CO(n log n)
DO(k log n)
Step-by-Step Solution
Solution:
  1. Step 1: Analyze heap operations

    Building the heap takes O(k), popping and pushing each character n times costs O(n log k).
  2. Step 2: Combine complexities

    Total time is dominated by O(n log k), since each character is processed once with heap operations.
  3. Final Answer:

    Option B -> Option B
  4. Quick Check:

    Heap operations on k unique chars cost log k per operation [OK]
Quick Trick: Heap operations cost log k, done n times [OK]
Common Mistakes:
MISTAKES
  • Confusing n and k in complexity
  • Assuming O(n log n) always
  • Ignoring heap operation cost
Trap Explanation:
PITFALL
  • Many candidates incorrectly assume complexity depends on n log n instead of n log k.
Interviewer Note:
CONTEXT
  • Tests understanding of complexity in heap-based greedy algorithms.
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