


Why might more complex but parallelizable algorithms be better candidates for hardware acceleration?
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what is bubble sort algorithm
- What is the base case for a recursive bubble sort implementation?
- What is the "Big Omega" notation for the time complexity of bubble sort?
- Consider the application of bubble sort to sorting data with dependencies or constraints (e.g., sorting tasks based on their prerequisites). Would bubble sort be suitable for such scenarios?
- Why are predictable and bounded execution times often critical in real-time systems?
- What is shell sort? How does its approach differ from bubble sort?
- Are there external sorting algorithms that are more efficient than a naive external version of bubble sort?
- We discussed cocktail sort. Are there any other notable variations?
- Can bubble sort be used as part of a more complex algorithm?
- How could you make a bubble sort implementation case-insensitive?
- In modern programming, when would you realistically choose to use bubble sort over other available sorting functions in standard libraries?
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