What are the best sorting techniques for large datasets?
Some of the best sorting techniques for large datasets include QuickSort, MergeSort, and HeapSort. Each has its own advantages depending on the data characteristics.
Can you explain why QuickSort is often preferred?
QuickSort is preferred for its average-case efficiency of O(n log n) and its ability to sort in place, which saves memory.
What about MergeSort? When should I use it?
MergeSort is stable and works well for large datasets that don't fit into memory, as it can efficiently handle external sorting.
Are there any specific scenarios where HeapSort is better?
HeapSort is useful when you need a guaranteed O(n log n) time complexity and want to avoid the worst-case scenarios of QuickSort.
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