



While the best-case improves to O(n), why does the worst-case of optimized bubble sort still remain O(n^2)?
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what is bubble sort algorithm
- Consider the use of assertions or preconditions in a bubble sort implementation to catch potential errors. What assertions might be useful?
- Deriving the average-case time complexity of bubble sort is complex. Can you explain why?
- Compare the number of comparisons in basic bubble sort vs. optimized bubble sort.
- What are the data dependencies in bubble sort that might hinder parallelization?
- Consider sorting a list with a very small number of elements (e.g., 2 or 3). How does bubble sort perform?
- Why are merge sort and quicksort generally preferred for sorting large datasets in practice?
- Are there any specific types of problems or constraints in competitive programming where a simple but potentially slow algorithm like bubble sort might be acceptable or even advantageous?
- How would you divide the sorting task among multiple threads or processes?
- How would you determine the optimal cutoff point for switching from another algorithm to bubble sort in a hybrid approach?
- How would you adapt bubble sort to find the k-th smallest element?
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