How do different sorting algorithms compare in efficiency?

How do different sorting algorithms compare in efficiency?

Sorting algorithms can be compared based on their time complexity, space complexity, and stability. 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?

What about Merge Sort? How does it compare?

Merge Sort also has a time complexity of O(n log n) and is stable, which means it maintains the relative order of equal elements. However, it requires additional space for the temporary arrays used during the sorting process.

Are there any scenarios where Bubble Sort is preferred?

Bubble Sort is rarely used in practice due to its inefficiency, but it can be useful for small datasets or for educational purposes to illustrate sorting concepts.

Can you explain the concept of stability in sorting algorithms?

Stability in sorting algorithms means that if two elements have equal keys, their relative order will be preserved in the sorted output. This is important in scenarios where the original order carries significance.