What is time complexity in sorting algorithms?

What is time complexity in sorting algorithms?

Time complexity measures the amount of time an algorithm takes to complete as a function of the input size. In sorting algorithms, it helps us understand how the performance scales with larger datasets.

Can you explain the time complexities of common sorting algorithms?

Sure! For example, Bubble Sort has a time complexity of O(n^2), while Quick Sort has an average time complexity of O(n log n). Merge Sort also has a time complexity of O(n log n) in all cases.

Why is Quick Sort generally faster than Bubble Sort?

Quick Sort is faster because it uses a divide-and-conquer approach, which reduces the number of comparisons and swaps needed, especially for larger datasets.

Are there any scenarios where Bubble Sort might be useful?

Yes, Bubble Sort can be useful for small datasets or when the data is nearly sorted, as it can be simpler to implement and understand.