所以我的代码几乎完成了,我只需要一种打印索引的方法,当我重组我的堆时,打印出原始索引但是在新的位置。我的堆被组织为打印出最小值但是当我尝试打印出索引时,我只打印出新索引。
这是我的java代码
import java.util.*;
import java.util.Scanner;
import java.util.Arrays;
import java.util.NoSuchElementException;
/** Class BinaryHeap **/
class BinaryHeap
{
/** The number of children each node has **/
private static final int d = 2;
private int heapSize;
private int[] heap;
/** Constructor **/
public BinaryHeap(int capacity)
{
heapSize = 0;
heap = new int[capacity + 1];
Arrays.fill(heap, -1);
}
/** Function to check if heap is empty **/
public boolean isEmpty( )
{
return heapSize == 0;
}
/** Check if heap is full **/
public boolean isFull( )
{
return heapSize == heap.length;
}
/** Clear heap */
public void makeEmpty( )
{
heapSize = 0;
}
/** Function to get index parent of i **/
private int parent(int i)
{
return (i - 1)/d;
}
/** Function to get index of k th child of i **/
private int kthChild(int i, int k)
{
return d * i + k;
}
/** Function to insert element */
public void insert(int x)
{
if (isFull( ) )
throw new NoSuchElementException("Overflow Exception");
/** Percolate up **/
heap[heapSize++] = x;
heapifyUp(heapSize - 1);
}
/** Function to find least element **/
public int findMin( )
{
if (isEmpty() )
throw new NoSuchElementException("Underflow Exception");
return heap[0];
}
/** Function to delete min element **/
public int deleteMin()
{
int keyItem = heap[0];
newID(0);
delete(0);
return keyItem;
}
/** Function to delete element at an index **/
public int delete(int ind)
{
if (isEmpty() )
throw new NoSuchElementException("Underflow Exception");
int keyItem = heap[ind];
heap[ind] = heap[heapSize - 1];
heapSize--;
heapifyDown(ind);
return keyItem;
}
/** Function heapifyUp **/
private void heapifyUp(int childInd)
{
int tmp = heap[childInd];
while (childInd > 0 && tmp < heap[parent(childInd)])
{
heap[childInd] = heap[ parent(childInd) ];
childInd = parent(childInd);
}
heap[childInd] = tmp;
}
/** Function heapifyDown **/
private void heapifyDown(int ind)
{
int child;
int tmp = heap[ ind ];
while (kthChild(ind, 1) < heapSize)
{
child = minChild(ind);
if (heap[child] < tmp)
heap[ind] = heap[child];
else
break;
ind = child;
}
heap[ind] = tmp;
}
/** Function to get smallest child **/
private int minChild(int ind)
{
int bestChild = kthChild(ind, 1);
int k = 2;
int pos = kthChild(ind, k);
while ((k <= d) && (pos < heapSize))
{
if (heap[pos] < heap[bestChild])
bestChild = pos;
pos = kthChild(ind, k++);
}
return bestChild;
}
/** Function to print heap **/
public void printHeap()
{
for (int i = 0; i < heapSize; i++){
System.out.print(heap[i] +" ");
printID(i);
}
System.out.println();
}
public void printID(int i)
{
System.out.println("Sequence ID: " + (i+1));
}
public void newID(int i)
{
int x = i;
}
public void printnewID(int i)
{
System.out.println("Sequence ID: " + (i+1));
}
}
/** Class BinaryHeapTest **/
public class BinaryHeapTest
{
public static void main(String[] args)
{
System.out.println("Binary Heap Test\n\n");
/** Make object of BinaryHeap **/
BinaryHeap bh = new BinaryHeap(101);
BinaryHeap bh2 = new BinaryHeap(101);
int check = 0;
int[] array = new int[100]; //Make 100 numbers
int[] ID = new int[100]; // ID array
Random rng = new Random();
for(int i= 0; i < array.length; i++){
ID[i] = (i + 1);
array[i] = rng.nextInt(39);
bh.insert(array[i]);
check++;
}
System.out.println("Heap 1 : ");
bh.printHeap();
System.out.println("Number of heap values = " + check);
for (int j = 1; j <= 100; j++){
bh2.insert(bh.deleteMin());
}
System.out.println("Heap 2 : ");
bh2.printHeap();
}
}