



What does it mean for a sorting algorithm to be stable?
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what is bubble sort algorithm
- How can the basic bubble sort algorithm be optimized?
- How does bubble sort compare to quicksort?
- Does the stability of bubble sort become more important when sorting based on multiple criteria?
- Under what conditions would bubble sort complete in fewer than n-1 passes?
- Consider the stability of bubble sort in the context of sorting objects with multiple attributes. If you sort based on one attribute and then another, how does stability affect the final sorted order?
- How do these optimizations affect the time and space complexity of merge sort and quicksort?
- Why is bubble sort generally not a good candidate for distributed sorting?
- How does the partitioning step in quicksort contribute to its efficiency?
- What lessons can be learned from the study of bubble sort in the context of algorithmic design and analysis?
- Why should you test with empty lists, lists with one element, already sorted lists, reverse sorted lists, lists with duplicates, and randomly ordered lists?
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