Understanding Time Complexity in C++ Sorting Algorithms

Can you explain time complexity in C++ sorting algorithms?

Sure! Time complexity measures how the runtime of an algorithm increases with the size of the input. In sorting algorithms, it helps us understand their efficiency.

What are the time complexities of common sorting algorithms in C++?

Here are some common ones: Bubble Sort is O(n^2), Quick Sort is O(n log n) on average, and Merge Sort is O(n log n) as well.

Why is Quick Sort generally faster than Bubble Sort?

Quick Sort is faster because it uses a divide-and-conquer approach, reducing the number of comparisons and swaps needed compared to Bubble Sort's simple pairwise comparisons.

Can you give me an example of implementing Quick Sort in C++?

Certainly! Here's a simple implementation:

void quickSort(int arr[], int low, int high) {
    if (low < high) {
        int pi = partition(arr, low, high);
        quickSort(arr, low, pi - 1);
        quickSort(arr, pi + 1, high);
    }
}