The video tutorial explains the Quicksort algorithm, a complex yet efficient sorting method. It introduces the concept of a pivot, which is a randomly selected element used to partition the array into smaller and larger elements. The tutorial provides a detailed step-by-step guide on how to implement Quicksort, including selecting a pivot, using pointers for comparison, and recursively applying the algorithm to sublists. The process is illustrated with examples to enhance understanding.

What is the primary goal of the Quicksort algorithm?

• To reverse the order of elements in an array

• To merge two sorted arrays into one

• To sort an array by dividing it into smaller sub-arrays

• To find the largest element in an array

In Quicksort, what is the role of the pivot?

• It is used to merge sorted arrays

• It is the element used to divide the array into two parts

• It is the largest element in the array

• It is the smallest element in the array

How are elements compared in the Quicksort algorithm?

• By comparing each element with the middle element

• By comparing each element with the last element

• By comparing each element with the pivot

• By comparing each element with the first element

What happens if the left pointer is less than or equal to the pivot?

• The right pointer is moved forward

• The left pointer is moved backward

• The left pointer is moved forward

• The right pointer is moved backward

What is the condition to stop the iteration in Quicksort?

• When the right pointer is greater than the left pointer

• When the left pointer is greater than the right pointer

• When the pivot is at the start of the array

• When the pivot is at the end of the array

What is the next step after sorting the pivot in Quicksort?

• Sort the entire array again

• Apply Quicksort to the left and right sublists

• Swap the first and last elements

• Reverse the order of the array

How does Quicksort handle single-element sublists?

• It merges them with other sublists

• It sorts them separately

• It leaves them as they are already sorted

• It reverses their order

What is the base condition for recursion in Quicksort?

• When the sublist is empty

• When the sublist has exactly two elements

• When the sublist has more than one element

• When the sublist has only one element

What is the final step in the Quicksort algorithm?

• Reverse the sorted array

• Ensure all elements are sorted and return the array

• Find the largest element in the array

• Merge all sorted sublists

Why is Quicksort considered efficient?

• It uses a lot of memory

• It sorts elements in place with a good average time complexity

• It is easy to implement

• It requires multiple passes over the data