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)

1 answer

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)