D6 - Useful Complexity Case, log(n!) = Θ(nlogn)

Data Structures, Complexity log(n!) = Θ(nlogn) This is a useful case of complexity analysis to remember. log(n!) and nlogn has about the same growth rate. To prove it's true, we will show how both log(n!) = O(nlogn) and log(n!) = Ω(nlogn) are true. l...