



What are the trade-offs between algorithm complexity and resource usage?
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what is bubble sort algorithm
- Explain the concept of "bubbling" in bubble sort using an example.
- What is the time complexity of bubble sort in the best case?
- How does the optimized bubble sort reduce unnecessary comparisons?
- What does it mean for a sorting algorithm to be in-place?
- 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?
- Consider a constrained memory environment where only a small amount of extra memory is available. Is bubble sort a good choice?
- How would you determine the optimal cutoff point for switching from another algorithm to bubble sort in a hybrid approach?
- How does bubble sort compare to these other introductory algorithms in terms of simplicity and educational value?
- How does bubble sort compare to merge sort?
- What assumptions are typically made when analyzing the average-case performance of sorting algorithms?
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