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 if the left value is larger than the right. This means that the highest valu...
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?
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...
Digging Into the Time Complexity In both the average and worst case scenarios, the amount of time it will take on average to sort the numbers will beO(n2). At each iteration, the largest number in our unsorted collection will be swapped into the the right spot. What also happens at each...
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...
1. Time Complexities Worst Case Complexity: O(n2) If we want to sort in ascending order and the array is in descending order then the worst case occurs. Best Case Complexity: O(n) If the array is already sorted, then there is no need for sorting. Average Case Complexity: O(n2) It ...
bubblesort(array,size); printf("\nSorted array is "); for(i=0;i<size;i++) printf(" %d ",array[i]); return0; } Time Complexity: O(n2) In the worst case, it should have to swap the n elements if the array is reverse sorted. The size of the list is n. ...
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...
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...
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 ...