What are the complexities of different sorting algorithms in C++?

What are the complexities of different sorting algorithms in C++?

In C++, common sorting algorithms include Quick Sort, Merge Sort, and Bubble Sort. Quick Sort has an average time complexity of O(n log n), while Merge Sort also has O(n log n) but is stable. Bubble Sort, on the other hand, has a time complexity of O(n^2). Would you like to know more about a specific algorithm?

Can you explain why Quick Sort is faster than Bubble Sort?

Quick Sort is generally faster than Bubble Sort because it uses a divide-and-conquer approach, which allows it to sort large datasets more efficiently. Bubble Sort, however, repeatedly steps through the list, making it much slower for larger arrays due to its O(n^2) complexity.

What is the space complexity of Merge Sort?

Merge Sort has a space complexity of O(n) because it requires additional space to hold the temporary arrays used during the merging process.

Are there any sorting algorithms that are better for nearly sorted data?

Yes, Insertion Sort is particularly efficient for nearly sorted data, with a time complexity of O(n) in the best case. It works well because it only requires a few comparisons and shifts.