I am getting confused in this, if N is too large then the combined value of NLogN
will be less than O(N)
?
Is O(N) better or O(NLogN) better?
But suppose our n=4
let’s consider it worst case, so log4=0.60
and nlogn = 4*0.60= 2.4
which is less than n=4
itself?
So, we consider base2
for example binary search , our array gets reduced to half.
Yes for Binary search the time complexity in Log(n) not nlog(n). So it will be less than O(n).
But N*Log(N) is greater than O(N).
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