

Why are more efficient algorithms generally preferred in competitive programming where time limits are strict?
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what is bubble sort algorithm
- How can the initial number of inversions in a list provide an upper bound on the number of swaps performed by bubble sort?
- Why are predictable and bounded execution times often critical in real-time systems?
- How do these variations typically aim to improve upon the basic bubble sort?
- Does the stability of bubble sort become more important when sorting based on multiple criteria?
- What does it mean for a sorting algorithm to be stable?
- Give an example of bubble sort sorting a small list of numbers.
- When might selection sort be preferred over bubble sort?
- How do the memory access patterns of bubble sort compare to those of merge sort or quicksort?
- What is the "Big O" notation for the time complexity of bubble sort?
- Consider the role of bubble sort in the history and evolution of computer science. What were its early uses and significance?
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