How can I optimize the Quick Sort algorithm?
To optimize Quick Sort, you can use techniques like choosing a better pivot, using insertion sort for small arrays, and implementing tail recursion.
What are some strategies for choosing a good pivot?
Some strategies include using the median of three method, random pivot selection, or the median of medians algorithm.
How does using insertion sort for small arrays help?
Insertion sort is more efficient for small datasets due to its lower overhead, making it faster than Quick Sort for small array sizes.
Can you explain the median of medians algorithm?
The median of medians algorithm is a way to select a pivot that guarantees a good split, ensuring better performance in the worst case.
Are there any downsides to Quick Sort?
Yes, Quick Sort can degrade to O(n^2) time complexity if the pivot selection is poor, especially with already sorted data.
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