Comparison of Sorting Algorithms: Bubble, Selection, Insertion, Merge, and Quick Sort

Bubble Sort

Best: O(n), Average: O(n2), Worst: O(n2), Space Complexity: O(1), Stable: Yes, Best Use Cases: Small datasets, educational purposes

Selection Sort

Best: O(n2), Average: O(n2), Worst: O(n2), Space Complexity: O(1), Stable: No, Best Use Cases: Small datasets, memory-constrained environments

Insertion Sort

Best: O(n), Average: O(n2), Worst: O(n2), Space Complexity: O(1), Stable: Yes, Best Use Cases: Small or partially sorted datasets

Merge Sort

Best: O(nlogn), Average: O(nlogn), Worst: O(nlogn), Space Complexity: O(n), Stable: Yes, Best Use Cases: Large datasets, linked lists

Quick Sort

Best: O(nlogn), Average: O(logn), Worst: O(n2), Space Complexity: O(nlogn), Stable: No, Best Use Cases: In-memory sorting, general-purpose