How do different sorting algorithms compare in C++?

Can you explain the differences between bubble sort and quicksort in C++?

Sure! Bubble sort is a simple comparison-based algorithm that repeatedly steps through the list, compares adjacent elements, and swaps them if they are in the wrong order. It's not very efficient for large datasets. Quicksort, on the other hand, is a divide-and-conquer algorithm that selects a 'pivot' element and partitions the other elements into two sub-arrays according to whether they are less than or greater than the pivot. Quicksort is generally much faster than bubble sort for larger datasets.

What are the time complexities of these algorithms?

Bubble sort has a worst-case and average time complexity of O(n²), while quicksort has an average time complexity of O(n log n) and a worst-case of O(n²) if not implemented with precautions.

Are there any other sorting algorithms I should know about?

Yes, there are several other sorting algorithms like merge sort, insertion sort, and heap sort. Each has its own advantages and use cases depending on the data and requirements.

Which sorting algorithm would you recommend for large datasets?

For large datasets, I would recommend using quicksort or merge sort due to their better average time complexities. Quicksort is often faster in practice, but merge sort is stable and works well for linked lists.