Yes, bubble sort is a stable sorting algorithm.
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.
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.
Selection sort is more efficient for small datasets compared to bubble sort.
Yes, bubble sort is a stable sorting algorithm.
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.
The bubble sort algorithm can be applied to an array of characters. Every character can be translated to an integer equivalent via the ascii table
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.
Selection sort is more efficient for small datasets compared to bubble sort.
Bubble sort is an "in place" algorithm. Other than a temporary "switch" variable, no extra space is required.
Bubble sort has no practical applications other than that it is often cited as an example of how not to write an algorithm. Insert sort is the best algorithm for sorting small lists of items and is often used in conjunction with quick sort to sort larger lists. Like insert sort, bubble sort is simple to implement and is a stable sort (equal items remain in the same order they were input). However, insert sort uses copy or move operations rather than swaps (which is actually three operations per swap) and is therefore quicker. The only time a bubble sort will work quicker than insert sort is when the array is already sorted, which renders the entire algorithm redundant. A modified algorithm that specifically tests if an array is sorted or not would be more efficient than a single-pass 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.
This is false. The movement described is a disadvantageof bubble sort.
n-1 times
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.