What are the performance differences between sorting algorithms?

What are the performance differences between sorting algorithms?

Sorting algorithms vary in performance based on their time complexity and space complexity. 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 specific algorithms?

Yes, can you compare Quick Sort and Merge Sort?

Sure! Quick Sort is generally faster in practice due to its cache efficiency, but Merge Sort is stable and performs better on linked lists. Both have a time complexity of O(n log n), but Quick Sort can degrade to O(n^2) in the worst case.

What about their space complexity?

Quick Sort has a space complexity of O(log n) due to recursion, while Merge Sort requires O(n) space for the temporary arrays used during merging. This can be a significant factor depending on the data size.

Which one should I use for large datasets?

For large datasets, Quick Sort is often preferred due to its speed, but if you need stability or are working with linked lists, Merge Sort might be the better choice.