Question

Students are discussing variations of algorithms to find Fibonacci numbers, like fib(6). What is the best possible time complexity that they can get for this algorithm?(1 point)
Responses

O(1)
upper O left parenthesis 1 right parenthesis

O(n)
upper O left parenthesis n right parenthesis

O(n2)
upper O left parenthesis n squared right parenthesis

O(logn)

Answer 1

The best possible time complexity for finding Fibonacci numbers, particularly if you're using an efficient algorithm like matrix exponentiation or the fast doubling method, is:

**O(log n)**

So the correct response here is:

O(log n)