What are some examples of complexity analysis in algorithms?
Complexity analysis helps us understand the efficiency of algorithms. For example, consider the sorting algorithms like QuickSort and MergeSort.
Can you explain the time complexity of QuickSort?
QuickSort has an average time complexity of O(n log n), but in the worst case, it can degrade to O(n^2) if the pivot is poorly chosen.
What about MergeSort? How does it compare?
MergeSort consistently has a time complexity of O(n log n) regardless of the input, making it more reliable than QuickSort in worst-case scenarios.
Are there any space complexity considerations for these algorithms?
Yes, MergeSort requires O(n) additional space for the temporary arrays, while QuickSort can be implemented in-place with O(log n) space for the recursion stack.
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