How does merge sort perform in terms of time complexity compared to other sorting algorithms for large datasets?
- O(log n)
- O(n log n)
- O(n)
- O(n^2)
Merge sort excels in time complexity for large datasets, performing at O(n log n), which is more efficient than O(n^2) algorithms like bubble sort or insertion sort. This makes merge sort a preferred choice for large-scale sorting tasks.
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