


How can the basic bubble sort algorithm be optimized?
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what is bubble sort algorithm
- How efficient is bubble sort on nearly sorted data?
- How does the number of comparisons in bubble sort relate to its energy usage?
- Under what conditions would bubble sort complete in fewer than n-1 passes?
- What lessons can be learned from the study of bubble sort in the context of algorithmic design and analysis?
- Consider the number of inversions in a list as a measure of its disorder. How does bubble sort reduce the number of inversions with each pass?
- Can bubble sort be used to sort data stored in external memory (e.g., on a hard drive)?
- Consider the stability property of sorting algorithms. Why is stability important in certain applications?
- How does the number of swaps in insertion sort and selection sort compare to bubble sort?
- How do you keep track of whether any swaps occurred in a pass?
- How would you modify bubble sort to reduce the number of disk accesses?
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