How do different sorting algorithms compare in efficiency?

Can you explain how different sorting algorithms compare in terms of efficiency?

Sure! Sorting algorithms like Quick Sort, Merge Sort, and Bubble Sort have different time complexities. Quick Sort is generally faster with an average time complexity of O(n log n), while Bubble Sort is much slower at O(n^2). Would you like to know more about a specific algorithm?

What about Merge Sort? How does it work?

Merge Sort is a divide-and-conquer algorithm. It divides the array into halves, sorts each half, and then merges them back together. It has a time complexity of O(n log n) and is stable, making it a good choice for large datasets.

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 educational purposes to illustrate sorting concepts.

What factors should I consider when choosing a sorting algorithm?

You should consider the size of the dataset, the nature of the data, whether you need stability, and the average vs. worst-case performance of the algorithm.