Quick sort is an example of an in-place sorting algorithm.

Explanation:

An in-place sorting algorithm is one that does not require any additional memory space, apart from the input array, to perform the sorting operation. In other words, the sorting algorithm modifies the input array directly without creating a separate copy.

Quick sort is an efficient and widely-used sorting algorithm that follows the divide-and-conquer approach. It works by selecting a pivot element from the array and partitioning the other elements into two sub-arrays, according to whether they are less than or greater than the pivot. The sub-arrays are then recursively sorted.

Key points:

1. Quick Sort:
- Quick sort is a comparison-based sorting algorithm.
- It is highly efficient for large datasets and is often used in practice due to its average-case time complexity of O(n log n).
- The worst-case time complexity of quick sort is O(n^2) but this can be avoided by choosing a good pivot element.
- Quick sort is an in-place sorting algorithm as it rearranges the elements within the input array itself without requiring any additional memory.
- It employs the divide-and-conquer strategy, where the array is divided into smaller sub-arrays and then sorted recursively.

2. In-place Sorting Algorithm:
- An in-place sorting algorithm modifies the input array directly without requiring any additional memory space.
- This means that the sorting operation is performed within the same memory space as the input array.
- In-place sorting algorithms are preferred in scenarios where memory space is limited or needs to be conserved.
- Examples of in-place sorting algorithms include quick sort, insertion sort, and heap sort.

Therefore, quick sort is the correct option as it is an example of an in-place sorting algorithm.