Reputation: 27
I tried to find the time complexity of the following two functions: the first one
public static int myMethod1(int[] arr) {
int x = 0;
for (int i = 0; i < arr.length / 2; i++) {
for (int j = 0; j < arr.length; j++) {
for (int k = 0; k < arr.length; k++) {
x++;
if (k == arr.length / 2) {
break;
}
}
}
}
return x;
}
So with this one i am thinking. The method contains 3 loops, and the loops are iterating over variable i, j and k… i and j, and k are both incremented by 1 for each passing… this gives us as N For each LOOP which leaves us with three N’s.., which gives is O(N^3)
The next one is:
public static int myMethod(int N) {
int x = 0;
for (int i = 0; i < N; i++) {
for (int j = 0; j < N / 2; j++) {
for (int k = 1; k < N;) {
x++;
k *= 2;
}
}
}
return x;
}
With this i am thinking. The method contains 3 loops, and the loops are iterating over variable i, j and k… i and j are both incremented by 1 for each passing… this gives us as N For each LOOP which leaves us with two N’s.. The last loop k doubles, which gives is log(n). The result of the this problem is therefore O(N^2· log (N))
is this correct? and if it is not, why?
Upvotes: 2
Views: 74