Test on Bubble sort
Bubble Sort Explained: Algorithm, Complexity & Examples
Test: Bubble Sort
20 questions
Question 1: Bubble Sort has a space complexity of O(1) because it performs sorting directly within the original array, utilizing only a constant amount of additional memory for temporary variables.
A. Yes
B. No
Explanation: Bubble Sort is an in-place sorting algorithm. This means it sorts elements directly within the original array, without needing significant extra memory. The only additional space required is for a few temporary variables to facilitate swaps, and this amount remains constant regardless of the input size. Therefore, its space complexity is indeed O(1).
Question 2: Bubble Sort's fundamental principle involves repeatedly comparing adjacent elements and swapping them if they are in the wrong order.
A. Yes
B. No
Explanation: The study materials clearly state: "Its principle is straightforward: it repeatedly steps through the list, compares adjacent elements, and swaps them if they are in the wrong order."
Question 3: In Bubble Sort, after the first complete pass through the list, the smallest element is guaranteed to be in its correct position at the beginning of the list.
A. Yes
B. No
Explanation: After the first complete pass in Bubble Sort, the largest element will have 'bubbled up' to its correct position at the end of the list, not the smallest element at the beginning. Each pass places one element into its final sorted position, starting with the largest element at the end of the list.
Question 4: The primary goal of any sorting algorithm is to randomly arrange data elements to improve storage efficiency.
A. Yes
B. No
Explanation: The study materials state that the goal of sorting is 'to make data easier to search, analyze, and process,' by arranging elements in a specific order, not to randomly arrange data or primarily improve storage efficiency.
Question 5: The early exit optimization in Bubble Sort primarily improves its worst-case time complexity.
A. Yes
B. No
Explanation: The study materials state that the early exit optimization changes the best-case time complexity from O(n²) to O(n). It does not indicate that this optimization primarily improves the worst-case time complexity, which remains O(n²) for Bubble Sort.