I understand Big-O notation, but I don\'t know how to calculate it for many functions. In particular, I\'ve been trying to figure out the computational complexity of the nai
You can expand it and have a visulization
T(n) = T(n-1) + T(n-2) < T(n-1) + T(n-1) = 2*T(n-1) = 2*2*T(n-2) = 2*2*2*T(n-3) .... = 2^i*T(n-i) ... ==> O(2^n)