Understanding Recursive Fibonacci Functions

The video tutorial explains the recursive Fibonacci function, using an example with n=5. It breaks down the function's logic, highlighting the importance of base cases to prevent infinite recursion. The tutorial demonstrates how recursive calls simplify to base cases, allowing the function to return correct results. It emphasizes understanding recursion's elegance and necessity for base cases.

What is the initial value of 'n' when the Fibonacci function is called in this video?

• 6

• 5

• 4

• 3

In the recursive Fibonacci function, what happens when 'n' is less than 2?

• The function returns 0

• The function returns n

• The function returns an error

• The function calls itself again

What does the function return when it reaches the base case of Fibonacci(1)?

• 2

• 1

• 3

• 0

What is the result of Fibonacci(2) in the recursive function?

• 0

• 1

• 2

• 3

What does the recursive function do when 'n' is 3?

• Returns 3

• Calls Fibonacci(2) and Fibonacci(1)

• Returns 0

• Calls Fibonacci(4)

Why is it important to define base cases in a recursive function?

• To increase complexity

• To prevent infinite recursion

• To reduce memory usage

• To make the function faster

How does the recursive Fibonacci function eventually return a numeric response?

• By using a different function

• By reaching the base cases

• By calling itself indefinitely

• By using a loop

What is the sum of the third and second Fibonacci terms?

• 4

• 2

• 1

• 3

What is the main reason recursion is considered elegant?

• It simplifies complex problems

• It is faster than loops

• It uses less code

• It is easier to understand

What is the fifth Fibonacci term according to the video?

• 4

• 3

• 6

• 5