Write a C program to perform the bubble sort. Expected Input and Output 1. Average case (Unsorted array):When the input array has random distribution of numbers. For example: If the input array is {4, 6, 1, 2, 5, 3} the expected output array will have data as {1, 2, 3, 4, ...
The best case occurs when the array is already sorted. In this case, bubble sort still performs the comparisons but does not need to perform any swaps. The time complexity in the best case is O(n). Average Case The average case occurs when the array is in random order. In this case,...
The bubble sort algorithm’s average/worst time complexity is O(n²), as we have to pass through the array as many times as there are pairs in a provided array. Therefore, when time is a factor, there may be better options.Worst-case time complexity: O(n²). Average time ...
Average Case: O(n^2) – Because bubble sort relies on comparisons and nested loops, it operates at a quadratic pace on average. Space Complexity:Space complexity refers to the amount of memory space required by an algorithm in relation to its input size, describing how the space usage grows...
Worst Case Time Complexity [ Big-O ]: O(n2) Best Case Time Complexity [Big-omega]: O(n) Average Time Complexity [Big-theta]: O(n2) Space Complexity: O(1)Now that we have learned Bubble sort algorithm, you can check out these sorting algorithms and their applications as well:...
Best Case Complexity: The bubble sort algorithm has a best-case time complexity of O(n) for the already sorted array. Average Case Complexity: The average-case time complexity for the bubble sort algorithm is O(n2), which happens when 2 or more elements are in jumbled, i.e., neither ...
Space Complexity:O(1), indicating constant space usage regardless of input size. 5. Insights and Implications: Comparative Efficiency:When juxtaposed with more advanced algorithms like Merge Sort (O(n log n)) or Quick Sort (average case O(n log n)), Bubble Sort’s inefficiency, especially fo...
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...
In the most inefficient approach, Bubble Sort goes through n-1 iterations, looking at n-1 pairs of adjacent elements. This gives it the time complexity of \)O(n^2)\), in both best-case and average-case situations. \)O(n^2)\) is considered pretty horrible for a sorting algorithm. ...
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. Developm...