A bubble sort may have a range from O(n-1) for a pre-sorted array, to O(n2-n) for a poorly implemented bubble sort algorithm.
Given 20 elements, a best case scenario is 19 comparisons, and the worst case is 380 comparisons.
to eliminate unnecessary swaps to eliminate unnecessary comparisons to stop as soon as the list is sorted to sort an array of unknown size
Bubble sort got its name because if you could watch the way your data was changing, on each iteration you would see the greatest number "bubble" to the top.Similarly, you could said that you would see the lowest number "sink" to the bottom.
Bubble sort is also known as sinking sort.
The traditional bubble sort moves any number of elements at most one position per iteration, while selection sort moves exactly one element per iteration. Both sorts require an exponential amount of time to produce their results.
ramesh
Bubble Sort has a time complexity of O(n2) because it compares each element in the list with every other element, resulting in a worst-case scenario where the number of comparisons grows quadratically with the size of the list. This makes it inefficient for large datasets.
The minimum number of swaps required to sort an array is equal to the number of inversions in the array.
to eliminate unnecessary swaps to eliminate unnecessary comparisons to stop as soon as the list is sorted to sort an array of unknown size
The running time of the bubble sort algorithm is O(n2), where n is the number of elements in the array being sorted.
The running time of the bubble sort algorithm is O(n2), where n is the number of elements in the array being sorted.
Bubble sort got its name because if you could watch the way your data was changing, on each iteration you would see the greatest number "bubble" to the top.Similarly, you could said that you would see the lowest number "sink" to the bottom.
Bubble sort is also known as sinking sort.
The time complexity of the best case scenario for Bubble Sort is O(n), where n is the number of elements in the array.
The average case time complexity of the Bubble Sort algorithm is O(n2), where n is the number of elements in the array being sorted.
Yes, bubble sort is a stable sorting algorithm.
Selection sort is more efficient for small datasets compared to bubble sort.
The best case scenario for the bubble sort algorithm is when the list is already sorted. In this case, the time complexity is O(n), where n is the number of elements in the list.