algo(n)
for i in 0 to n {
for 0 to 8^i {
}
}
for i to 8^d {
}
Any kind of analysis or information about the time complexity of this algorithm will be usefull. Worst case, best case, lower/upper bounds, theta/omega/big-o, recurrence relation....etc.
Your algorithm runs in exponential time (T ∈ Θ(c^n)
, c>1
). You can analyse the number of iterations of the inner for
loop (... for 0 to 8^i
) using Sigma notation:
Since your algorithm is in Θ(8^n)
, it is also in O(8^n)
(upper asymptotic bound) and Ω(8^n)
(lower asymptotic bound).
The above analysis is performed under the assumption that the d
in the final for
loop analysis is less or equal to n
, in which case the nested two for
loop prior to it will dominate (and hence we needn't analyze the last non-dominant for
loop explicitly).