Greedy Algorithms - Two City Scheduling
What is the space complexity of the optimal greedy solution for Two City Scheduling that sorts and assigns in-place?
What is the space complexity of the optimal greedy solution for Two City Scheduling that sorts and assigns in-place?
medium🪤 Complexity Trap Q6 of Q15
Step-by-Step Solution
Solution:
Step 1: Consider sorting space
In-place sorting algorithms like Timsort use O(1) or O(log n) auxiliary space.Step 2: Consider assignment space
Assignment uses constant extra variables, no additional data structures.Final Answer:
Option D -> Option DQuick Check:
In-place sorting and simple assignment yield O(1) space [OK]
Quick Trick: In-place sorting + simple assignment -> O(1) space [OK]
Common Mistakes:
MISTAKES- Assuming DP memoization space
- Forgetting recursion stack in sorting
- Counting input storage as extra space
Trap Explanation:
PITFALL- Candidates confuse DP space with greedy or forget sorting auxiliary space.
Interviewer Note:
CONTEXT- Tests understanding of space complexity in greedy approach
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