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4 cards from this section. Quick, good the night before a test.
Define stable sorting.
Think about how sorting ties are handled.
Why is quicksort generally considered fast?
Consider how many elements it divides at each step.
What is the main benefit of stable sorting?
Focus on what happens to tied elements during sorting.
True or False: All sorting algorithms are stable.
Recall examples of unstable sorting methods.
Consider a dataset of 500,000 records that needs to be sorted primarily by date and secondarily by name. Which sorting algorithm would you choose and why?
Think about both the size and nature of the data.
You have two algorithms: Algorithm A (O(n^2)) and Algorithm B (O(n log n)). If you need to sort 1000 records which would you choose? Explain your reasoning.
Consider time complexity benefits as data size increases.
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