What are the performance differences between merge sorts?
Merge sort is a divide-and-conquer algorithm that has a time complexity of O(n log n) in the average and worst cases. However, there are different types of merge sorts, like natural merge sort, which can perform better on partially sorted data.
How does the space complexity compare?
The standard merge sort requires O(n) additional space for the temporary arrays used during the merging process. In contrast, in-place merge sorts can reduce space usage but may increase time complexity.
Are there specific scenarios where one is better than the other?
Yes, natural merge sort is often better for data that is already partially sorted, while standard merge sort is more efficient for completely unsorted data.
What about stability in sorting algorithms?
Both standard and natural merge sorts are stable sorting algorithms, meaning they maintain the relative order of equal elements.
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