Bubble Sort Complexity

The video tutorial discusses the complexity of the bubble sort algorithm, emphasizing its O(n^2) complexity. It explains the complexity through nested loops and a mathematical series, highlighting the importance of considering the worst-case scenario. The video also covers best, worst, and average case scenarios, explaining how they affect the number of swaps needed. The tutorial concludes with a brief mention of the next algorithm to be discussed.

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

• O(n)

• O(log n)

• O(n^2)

• O(n log n)

How is the complexity of bubble sort determined in simple terms?

• By counting the number of swaps

• By counting the number of elements

• By counting the number of nested loops

• By counting the number of recursive calls

What mathematical series is used to explain the complexity of bubble sort?

• Geometric series

• Arithmetic series

• Fibonacci series

• Harmonic series

In the best-case scenario, what is the state of the list for bubble sort?

• Partially sorted

• Completely unsorted

• Randomly sorted

• Already sorted

Which case of bubble sort involves the highest number of swaps?

• None of the above

• Average case

• Worst case

• Best case