The Bubble Sort algorithmgoes through an array ofnnvaluesn−1n−1times in a worst case scenario. The first time the algorithm runs through the array, every value is compared to the next, and swaps the values i
bubblesort类算法最坏的时间复杂度是什么？我认为这是伪装。因此，它的最坏情况和平均复杂度为o（n^2...
21. What is the best case of Bubble Sort?The best case for Bubble Sort is when the array is sorted. The time complexity of the best case is O(N). In this, the algorithm checks one time in the array where its no swaps at all.22. What is the worst-case of Bubble Sort?
In the recursive approach, we have to call the function bubble sort until the array does not sort. In every function call, we have to place the largest element from the array at the unsorted array. Time Complexity: O(n2) Time taken to sort the array using bubble sort in the recursive ...
The time and space complexities of the Bubble Sort algorithm are as follows: Time Complexity:Time complexityis a measure of the amount of time an algorithm takes to complete as a function of the size of the input. Worst Case: O(n^2) – This happens when every element in the input array...
The time complexity in the average case is O(n^2). Worst Case The worst case occurs when the array is sorted in reverse order. In this case, bubble sort performs the maximum number of comparisons and swaps. The time complexity in the worst case is O(n^2). Space Complexity The space...
small amounts of data, Bubble sort implementation is based on swapping the adjacent elements repeatedly if they are not sorted. Bubble sort's time complexity in both of the cases (average and worst-case) is quite high. For large amounts of data, the use of Bubble sort is not recommended...
The above function always runs O(n^2) time even if the array is sorted. It can be optimized by stopping the algorithm if inner loop didn’t cause any swap. // Optimized java implementation // of Bubble sort importjava.io.*; classGFG ...
On average, n-i comparisons are made in the ith pass of bubble sort. So if there are n passes, then the average time complexity can be given by (n-1) + (n-2) + (n-3) ... + 1 = n*(n-1)/2 Hence the time complexity is of the order of O(n2). Worst Case The wors...
Time Complexity: Average Case: O(n^2) Worst Case: O(n^2) - This occurs when the array is sorted in reverse order. Best Case: O(n) - This occurs when the array is already sorted. Space Complexity: O(1), since the sorting is done in place without using additional memory. ...