Write a simple Java program that that sorts the following array, 5 7 4 9 8 5 6 3, using a selection sort algorithm. What is the Big O of the algorithm?
public class Selection_sort {
private static void swap(int[] array, int i, int j) {
int temp = array[i];
array[i] = array[j];
array[j] = temp;
}
public static void selectionSort(int[] array) {
for (int i = 0; i < array.length - 1; i++) {
int lowindex = i;
for (int j = array.length - 1; j > i; j--)
if (array[j] < (array[lowindex])) {
lowindex = j;
}
swap(array, i, lowindex);
}
}
public static void main(String[] args) {
int arr[] = {5, 7, 4, 9, 8, 5, 6, 3};
selectionSort(arr);
for(int i = 0;i<arr.length;i++){
System.out.print(arr[i]+" ");
}
System.out.println();
}
}

3 4 5 5 6 7 8 9

First for loop is running for i values from 0 to n with an increment of 1 So, it runs for O(n) times Inner for loop is running for j values from n to i with a decrement of 1 So, At max it runs max of O(n) times So, total time complexity = O(n*n) =

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