I am reading an analysis on dynamic arrays (from the Skiena's algorithm manual). I.e. when we have an array structure and each time we are out of space we allocate a new array of double the size of ...
I haven't touched algorithm complexity stuff in quite a while, so I am trying to do a refresher. I am trying to figure out the number of steps in the following for loop. for(i = 0; i < n; ...
In asymptotic notation when it is stated that if the problem size is small enough (e.g. n<c for some constant c) the solution takes constant time and is writen as Theta(1). Why we write 1 inside ...