Bubble sort works by through the array repeatedly, comparing adjacent and swapping them if they are in the wrong . The algorithm keeps track of the sorted partition of the array and continues sorting the remaining unsorted partition until the entire array is sorted. This process is repeated until the array is fully . It starts with the first pair of elements and continues until the last .
Let's say we have an array 5, 2, 8, 3, 1. In the first iteration, the algorithm compares 5 and 2, swaps them to get ,, 8, 3, 1]. Then it compares 5 and 8, no swap needed. It goes on like this until it reaches the end of the . After the first iteration, the largest element (8) is in its correct position at the end of the array. The algorithm continues with the second iteration, again comparing and elements until the array is sorted.
Bubble sort has its pros and cons. It is simple and easy to understand, and because it's an sorting algorithm, it requires minimal additional memory space. It works well for small lists or sorted lists. On the downside, it is not efficient for large lists, and its time complexity is (n^2), which means the execution time increases with the growing size of the array. Therefore, it is not suitable for real-world applications with large .
Keywords
array | in-place | sorted | iterating | o | swapping | elements | order | datasets | nearly | rapidly | 2 | 5 | pair |
