I am creating a priority queue (my own in array form) with a minimum heap sort where I am implementing a method which deletes the first element in the priority queue (my array) which is the root. I then call the heapifyNumbers()
method on my array again to sort the array in minimum heap again. The problem is just that I cannot decrease from an array, so the last two elements will be duplicate.
This is the delete method I am creating
public void deleteMinimum(int[] array){
array[0] = array[array.length - 1];
heapSort(array);
//here I want to decrease array size by 1 after heap sorting the array
}
Here I just replace the first index with the last index, and then call the heapifyNumbers()
method on my array again to sort the array. How do I decrease the array size by 1?
I know arrays cannot be decreased, but I see all implementations of this using arrays so there must be some way like creating a new array maybe?
This is my output:
Before Heap Sort :
[1, 10, 16, 19, 3, 5]After Heap Sort :
[1, 3, 5, 10, 16, 19]After deleting :
Here there are duplicate 19
[3, 5, 10, 16, 19, 19]
I have done this arr = Arrays.copyOf(array, array.length -1);
but I don't know if it still holds the Log N time complexity
This is my full code if you are interested:
import java.util.*;
public class ObligatoriskOpgave2 {
int[] arr={1,10,16,19,3,5};
public static void buildheap(int []arr) {
/*
* As last non leaf node will be at (arr.length-1)/2
* so we will start from this location for heapifying the elements
* */
for(int i=(arr.length-1)/2; i>=0; i--){
heapifyNumbers(arr,i,arr.length-1);
}
}
public static void heapifyNumbers(int[] arr, int i, int size) {
int left = 2*i+1;
int right = 2*i+2;
int max;
if(left <= size && arr[left] > arr[i]){
max=left;
} else {
max=i;
}
if(right <= size && arr[right] > arr[max]) {
max=right;
}
// If max is not current node, swapCurrentNodeWithMaximumOfChildren it with max of left and right child
if(max!=i) {
swapCurrentNodeWithMaximumOfChildren(arr,i, max);
heapifyNumbers(arr, max,size);
}
}
public static void swapCurrentNodeWithMaximumOfChildren(int[] arr, int i, int j) {
int t = arr[i];
arr[i] = arr[j];
arr[j] = t;
}
public static int[] heapSort(int[] arr) {
buildheap(arr);
int sizeOfHeap=arr.length-1;
for(int i=sizeOfHeap; i>0; i--) {
swapCurrentNodeWithMaximumOfChildren(arr,0, i);
sizeOfHeap=sizeOfHeap-1;
heapifyNumbers(arr, 0,sizeOfHeap);
}
return arr;
}
public void deleteMinimum(int[] array){
array[0] = array[array.length - 1];
heapSort(array);
}
public static void main(String[] args) {
ObligatoriskOpgave2 o = new ObligatoriskOpgave2();
System.out.println("Before Heap Sort : ");
System.out.println(Arrays.toString(o.arr));
o.arr=heapSort(o.arr);
System.out.println("=====================");
System.out.println("After Heap Sort : ");
System.out.println(Arrays.toString(o.arr));
o.deleteMinimum(o.arr);
System.out.println(Arrays.toString(o.arr));
}
}
The solution was to have a HeapSize int value, which is decreased for each time an element is removed. Next time the array is iterated in a for loop, we don't go further than the heapsize.