


How would you provide a custom comparison function to a bubble sort implementation?
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what is bubble sort algorithm
- We know bubble sort performs well on nearly sorted data in its optimized form. Can you elaborate on why?
- How does the optimized bubble sort's best-case time complexity differ from its average and worst-case complexities in Big Theta notation?
- Can you use bubble sort to detect if a list is already sorted?
- Does the presence of negative numbers affect the time complexity of bubble sort?
- How would you adapt bubble sort to find the median?
- If you had to explain bubble sort to a non-technical person, how would you do it?
- How does the lack of random access in linked lists affect the implementation and performance of bubble sort?
- Can you provide a real-world example where the simplicity of bubble sort might outweigh its inefficiency?
- Which sorting algorithms minimize the number of comparisons?
- Are there any functional programming idioms that can be applied to bubble sort (even if it's not a natural fit)?
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