Python 3: Project-based Python, Algorithms, Data Structures - BST - Deleting nodes with 1 child node

The video tutorial explains the recursive implementation of a bisection search algorithm. It begins by outlining the setup differences from an iterative solution, emphasizing the use of start and stop parameters. The base case for recursion is discussed, followed by conditions for recursive calls. The tutorial highlights the advantages of recursion, such as maintaining index tracking on the original list, and concludes with a successful test of the function.

What is a key difference between the recursive and iterative implementations of bisection search?

• Iterative implementation uses recursion.

• Recursive implementation includes start and stop parameters.

• Iterative implementation requires start and stop parameters.

• Recursive implementation uses a while loop.

When does the base case of the recursive function return 'item not found'?

• When the array is empty.

• When the start index is less than the stop index.

• When the start index is equal to the stop index.

• When the start index is greater than the stop index.

How is the middle index calculated in the recursive bisection search?

• By multiplying start and stop and dividing by two.

• By subtracting start from stop and dividing by two.

• By adding start and stop and dividing by two.

• By dividing start by stop.

What happens if the target value is greater than the middle index value during the recursive search?

• The search restarts from the beginning.

• The search stops immediately.

• The search continues on the right side of the list.

• The search continues on the left side of the list.

In the recursive search, what is adjusted when the target value is less than the middle index value?

• The stop index is set to mid minus one.

• The start index is set to mid plus one.

• The start index is set to zero.

• The stop index is set to the length of the list.

What is an advantage of the recursive approach in bisection search?

• It uses less memory than the iterative approach.

• It can track the index on the original list.

• It is faster than the iterative approach.

• It does not require a base case.

What is demonstrated in the final section of the video?

• The function does not run due to errors.

• The function finds values and returns correct indices.

• The function finds values and returns incorrect indices.

• The function fails to find any values.