I am quite sure that the former function grows faster. But when I plotted it on Wolfram alpha, the latter seemed to dominate.
In general, if I want to compare f(n) and g(n), can an analysis of log(f(n)) and log(g(n)) be used for analysis of the original functions ?
log(x)
is an increasing function, hence f(x) <= g(x)
if and only if log(f(x)) <= log(g(x))
.
In this case,
log(2^2^n) = 2^n*log(2)
This is growing exponentially
But
log(n^(2*n)) = 2*n*(log(n)) = O(nlog(n))
which is sub-exponential.
Thus, you are correct that 2^2^n
asymptotically dominates n^(2*n)
.
I'm not sure what you were doing with Wolfram Alpha. The fact that 2^2^n
dominates n^(2*n)
shows up even for single digit n: 2^(2^9)
is approximately 1.34 x 10^154
but 9^(2*9)
is only 1.5 x 10^17
.
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With