Bird
Raised Fist0

What is the space complexity of the optimal Partition Labels algorithm that uses a fixed-size array for last occurrences?

medium🪤 Complexity Trap Q6 of Q15
Greedy Algorithms - Partition Labels
What is the space complexity of the optimal Partition Labels algorithm that uses a fixed-size array for last occurrences?
AO(n) due to storing all partitions in the result list
BO(1) because the auxiliary array size is fixed and result space is ignored
CO(1) for auxiliary space, but O(n) including output list
DO(n) due to recursion stack in the algorithm
Step-by-Step Solution
Solution:
  1. Step 1: Auxiliary space usage

    The fixed-size array for last occurrences uses O(1) space.
  2. Step 2: Output list space

    The result list stores partition sizes, which can be up to O(n) in worst case.
  3. Final Answer:

    Option C -> Option C
  4. Quick Check:

    Auxiliary space O(1), total space including output O(n) [OK]
Quick Trick: Auxiliary O(1), output list O(n) space [OK]
Common Mistakes:
MISTAKES
  • Ignoring output list space
  • Assuming recursion stack space
  • Confusing auxiliary and total space
Trap Explanation:
PITFALL
  • Candidates often forget to include output list space or confuse recursion stack with iterative code.
Interviewer Note:
CONTEXT
  • Tests understanding of auxiliary vs total space complexity.
Master "Partition Labels" in Greedy Algorithms

3 interactive learning modes - each teaches the same concept differently

Want More Practice?

15+ quiz questions · All difficulty levels · Free

Free Signup - Practice All Questions
More Greedy Algorithms Quizzes