📅  最后修改于: 2023-12-03 15:28:41.279000             🧑  作者: Mango
This is a problem from the Graduate Aptitude Test in Engineering (GATE) for Computer Science and Information Technology (CS) conducted in the year 2001. The problem tests the understanding of recursion and computational complexity.
Write a recursive function to compute the Fibonacci sequence. How many additions/subtractions and multiplications/divisions are performed when computing the nth Fibonacci number?
The Fibonacci sequence is defined as follows:
fib(0) = 0
fib(1) = 1
fib(n) = fib(n-1) + fib(n-2) for n > 1
Here is the recursive function for computing the nth Fibonacci number:
def fib(n):
if n == 0:
return 0
elif n == 1:
return 1
else:
return fib(n-1) + fib(n-2)
To compute the nth Fibonacci number using this function, we need to perform the addition or subtraction of the two previous numbers in the sequence. Each recursive call to the function will result in two additional recursive calls until the base case is reached.
The number of additions/subtractions and multiplications/divisions performed for computing the nth Fibonacci number can be computed as follows:
Therefore, the time complexity of this function is O(2^n) and the space complexity is O(n) due to the recursive calls.
This problem tested the understanding of recursion and computational complexity by asking to write a recursive function for computing the Fibonacci sequence and to determine the number of additions/subtractions and multiplications/divisions performed. The recursive function and the analysis of the time and space complexity were presented in this solution.