What are the performance differences between sorting algorithms?
Sorting algorithms vary in efficiency based on their time and space complexity. Common ones include Quick Sort, Merge Sort, and Bubble Sort.
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?
Merge Sort consistently performs at O(n log n) in all cases, making it more reliable, but it requires additional space for merging.
Which sorting algorithm is the fastest for large datasets?
For large datasets, Quick Sort is often faster due to its in-place sorting and lower constant factors, but Merge Sort is preferred for stability.
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