What are the Big-Oh and Omega orders of the following code fragment? What is Tilde approximation?
The fragment is prameterized on the variable n. Assume that you are measuring the number of swap calls.
for(int j=0;j<n-1;j++){
int z = j;
for (int i=j+1; i<n; i++){
if(a[i] < a[z]){
z=i;}
}
if(z!= j){
swap(a[j], a[z]); //count these
}
}
outer loop iterates n times. inner loop iterates O(n) times. so, time complexity is O(n^2) Big-Oh: O(n^2) Big-Omega: Ω(n^2)
What are the Big-Oh and Omega orders of the following code fragment? What is Tilde approximation?...
What is the Big-Oh order of the following code fragment? The fragment is parametrized on the variable N. Assume that you are measuring the number of times j is decremented. public static void sort(Comparable[] a) { int N-a.length; for (int i = 1; i < N;i++) { for (int j = i; j > && less(a[5], a[j-1]); j--) //measure j -- exch(a, j, j-1); O(nlogn) O O(n^2) Q(n) Does not exist.
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