Evaluate two sorting or two search algorithms : Bubble sort demonstration and complexity analysis

The video tutorial explains the bubble sort algorithm, starting with an unsorted list of numbers. It demonstrates the process of comparing and swapping elements to sort the list in ascending order. The tutorial covers multiple iterations of the algorithm, showing how the largest unsorted element is moved to its correct position in each pass. Finally, the video analyzes the algorithm's performance using Big O notation, highlighting its time complexity as O(n^2).

What is the primary goal of the bubble sort algorithm?

• To reverse the order of a list

• To count the number of elements in a list

• To sort a list in ascending order

• To find the largest number in a list

During the first iteration, what happens when the first element is not larger than the second?

• Nothing is done, and the process moves to the next element

• A swap is performed

• The list is reversed

• The elements are removed

In the second iteration, what happens when two elements are equal?

• A swap is performed

• The elements are removed

• Nothing is done, and the process moves to the next element

• The list is reversed

What indicates the completion of the bubble sort algorithm?

• The smallest element is at the end of the list

• The largest element is at the beginning of the list

• No swaps are needed during a full pass through the list

• All elements are in descending order

What is the time complexity of the bubble sort algorithm in the worst-case scenario?

• O(n log n)

• O(n^2)

• O(log n)

• O(n)

How many elements are considered in the example used to explain the bubble sort algorithm?

• 5 elements

• 15 elements

• 10 elements

• 11 elements

What does the 'N' represent in the Big O notation for bubble sort?

• The number of swaps

• The number of elements in the list

• The number of iterations

• The number of comparisons