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

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

The time complexities vary by algorithm. 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 a specific algorithm?

Can you explain how Quick Sort works?

Sure! Quick Sort is a divide-and-conquer algorithm. It selects a 'pivot' element and partitions the array into two sub-arrays: elements less than the pivot and elements greater than the pivot. It then recursively sorts the sub-arrays.

What about Merge Sort? How does it compare?

Merge Sort also uses a divide-and-conquer approach. It divides the array into halves, sorts each half, and then merges them back together. Its time complexity is consistently O(n log n), making it stable and efficient for large datasets.

Which sorting algorithm is the fastest in practice?

In practice, Quick Sort is often faster than other algorithms like Merge Sort or Bubble Sort due to its efficient partitioning. However, the actual performance can depend on the data and implementation.