It is O(N^2) because the inner loop takes N steps to execute and that loop will be executed N times.
However, I would suggest not using recursion. There is no reason to not do it iteratively. Your recursive solution has no base case so it will recurse until your computer runs out of stack space, at which point it will crash. Don On Apr 9, 2:29 pm, rahul sharma <rahul23111...@gmail.com> wrote: > A = {5, 3, 8, 9, 16} > After one iteration A = {3-5,8-3,9-8,16-9}={-2,5,1,7} > After second iteration A = {5-(-2),1-5,7-1} sum =7+(-4)+6=9 > Given an array, return sum after n iterations > > my sol/ > void abc(int arr[],n) > { > for(i=0;i<n;i++) > arr[i]=arr[i+1]-arr[i]; > abc(arr,n-1); > > } > > I wana ask that the complexity is o(n) or o(n)2......as loop is executed n > times..say n is 10...so fxn is called 10 times....i.e 10 n..and ignoring n > it comes out to be...n......but if we implemeted with 2 loops then > complexity is n2 ...and both sol are taking same no of iterations...please > tell whether complexity is n or n2 for above code....if it is n2 then how??? -- You received this message because you are subscribed to the Google Groups "Algorithm Geeks" group. To unsubscribe from this group and stop receiving emails from it, send an email to algogeeks+unsubscr...@googlegroups.com. For more options, visit https://groups.google.com/groups/opt_out.