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
n-1 times
This is false. The movement described is a disadvantageof bubble sort.
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 will be able to sort the items lexicographically, if you first assign the strings a relative value. The way strcmp in the C library does this is by returning the difference of the first different characters between the strings. For instance, if you call strcmp("Hello", "Highway"), strcmp will return 'e'-'i'. The ascii value of e on a unix system is 101 and the ascii value of i is 105, so it is returning the value 101-105 = -4 which will tell you that "Hello" is lexicographically smaller than "Highway". Doing this, you should be able to use any algorithm you want to sort the strings.
Use a sorting algorithm. There are a bewildering number of sorting algorithms, both stable and unstable. To sort numbers, an unstable sort suffices. The algorithm you use will depend on how many numbers need to be sorted (a small or a large set), however a hybrid algorithm (a combination of two or more algorithms) can cater for both. Introsort (unstable) and timsort (stable) are the two most common hybrid sorting algorithms.
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.
Bubble sort is an "in place" algorithm. Other than a temporary "switch" variable, no extra space is required.
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.
Selection sort is more efficient for small datasets compared to bubble sort.
insertion,bubble,quick, quick3, merge, shell,heap, selection sorting
n-1 times
The best case scenario for the Bubble Sort algorithm is when the input data is already sorted. In this case, the algorithm will only need to make one pass through the data to confirm that it is sorted, resulting in a time complexity of O(n). This makes it efficient and fast for sorting already sorted data.
This is false. The movement described is a disadvantageof bubble sort.
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.