What are the complexities of different sorting algorithms?

What are the complexities of different sorting algorithms?

Sorting algorithms have different time and space complexities. For example, Quick Sort has an average time complexity of O(n log n), while Bubble Sort has O(n^2). Would you like to know more about a specific algorithm?

Can you explain the time complexity of Merge Sort?

Sure! Merge Sort has a time complexity of O(n log n) in the worst, average, and best cases. It divides the array into halves, sorts them, and then merges them back together.

What about the space complexity of Merge Sort?

The space complexity of Merge Sort is O(n) because it requires additional space for the temporary arrays used during the merging process.

How does Quick Sort compare to Merge Sort in terms of performance?

Quick Sort is generally faster than Merge Sort for most datasets due to its lower constant factors, but it can degrade to O(n^2) in the worst case. Merge Sort, on the other hand, guarantees O(n log n) performance.