What are the different sorting algorithms and their complexities?
There are several sorting algorithms, including Bubble Sort, Quick Sort, Merge Sort, and Heap Sort. Each has different time complexities.
Can you explain the time complexity of Quick Sort?
Quick Sort has an average time complexity of O(n log n), but in the worst case, it can degrade to O(n²) if not implemented with good pivot selection.
How does Merge Sort compare to Quick Sort in terms of performance?
Merge Sort consistently performs at O(n log n) in all cases, making it more reliable than Quick Sort, especially for large datasets.
What about the space complexity of these algorithms?
Merge Sort has a space complexity of O(n) due to the temporary arrays used, while Quick Sort has O(log n) space complexity due to recursive calls.
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