Arrange the following Big-O notations from the least expensive to the most expensive (or slowest to fastest), in terms of time complexity.
O(N!), O(logN), O(N3 ), O(1), O(NlogN), O(N2 ), O(2n ), O(√n), O(n√n), O(N2 logN)
O(N!)->O(N3 )-> O(N2 logN)->O(N2
)->O(NlogN)->O(n√n)->O(2n)->O(logN)->O(√n)->O(1)
take n=10
O(10!)>O(10^3 )> O(10^2 log10)>O(10^2
)>O(10log10)>O(10√10)>O(2*10)>O(log10)>O(√10)>O(1)
3628800> 1000>332.192809489>100>33.2192809489>31.6227766017>20>3.32192809489>3.16227766017>1
Arrange the following Big-O notations from the least expensive to the most expensive (or slowest to...
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