Understanding Insertion Sort

This video tutorial explains the insertion sort algorithm, focusing on the use of the 'break' keyword in loops. The instructor provides a detailed walkthrough of the insertion sort function, using a simple list as an example. The video covers how the 'break' keyword helps exit the smallest loop when a condition is met, and demonstrates the sorting process by iterating through the list and comparing elements. The tutorial concludes with a sorted list, illustrating the effectiveness of the insertion sort algorithm.

What does the 'break' keyword do in a loop?

• It skips the current iteration.

• It restarts the loop from the beginning.

• It exits the smallest enclosing loop.

• It pauses the loop temporarily.

What is the initial list used in the insertion sort example?

• [1, 2, 3, 4]

• [3, 1, 4, 1]

• [2, 1, 3, 2]

• [4, 3, 2, 1]

What is the length of the list used in the example?

• 3

• 6

• 4

• 5

During the first iteration, what happens when the value 1 is compared to 2?

• 1 is shifted to the right.

• 1 is left in place.

• 2 is shifted to the right.

• 2 is shifted to the left.

What is the purpose of decrementing 'i' in the insertion sort algorithm?

• To reset the loop.

• To compare the current value with previous elements.

• To move to the next element in the list.

• To compare the current value with the next element.

In the second iteration, why does the algorithm break out of the while loop?

• Because the current value is greater than the previous element.

• Because the list is already sorted.

• Because the loop has reached the end of the list.

• Because the current value is less than the previous element.

What is the value of 'i' when the second iteration starts?

• 1

• 0

• 3

• 2

What happens to the list after the final iteration?

• It becomes sorted in descending order.

• It remains unsorted.

• It becomes sorted in ascending order.

• It becomes partially sorted.

What is the final sorted list after the insertion sort completes?

• [2, 1, 3, 2]

• [3, 2, 2, 1]

• [1, 2, 2, 3]

• [1, 3, 2, 2]

Why is the insertion sort algorithm considered efficient for small or partially sorted lists?

• It performs fewer comparisons and shifts.

• It requires complex data structures.

• It uses a lot of memory.

• It has a high time complexity.