heap.java

数据结构综合实验,有各种排序算法和计算排序时间,最短路径算法,huffman编码解码.用图形界面实现.在jbuilder2006下运行通过.

package datas2;

// heapSort.java
// demonstrates heap sort
// to run this program: C>java HeapSortApp
////////////////////////////////////////////////////////////////
class Node
   {
   private int iData;             // data item (key)
// -------------------------------------------------------------
   public Node(int key)           // constructor
      { iData = key; }
// -------------------------------------------------------------
   public int getKey()
      { return iData; }
// -------------------------------------------------------------
   }  // end class Node
////////////////////////////////////////////////////////////////
public class Heap
   {
   // = new int[maxSize];
   private Node[] heapArray;
   private int maxSize;           // size of array
   private int currentSize;
   //int[] array;  // number of items in array
// -------------------------------------------------------------
   public Heap(int mx)            // constructor
      {
      maxSize = mx;
      currentSize = 0;
      heapArray = new Node[maxSize];
      }
// -------------------------------------------------------------
   public Node remove()           // delete item with max key
      {                           // (assumes non-empty list)
      Node root = heapArray[0];
      heapArray[0] = heapArray[--currentSize];
      trickleDown(0);
      return root;
      }  // end remove()
// -------------------------------------------------------------
   public void trickleDown(int index)
      {
      int largerChild;
      Node top = heapArray[index];        // save root
      while(index < currentSize/2)        // not on bottom row
         {
         int leftChild = 2*index+1;
         int rightChild = leftChild+1;
                                          // find larger child
         if(rightChild < currentSize &&   // right ch exists?
                             heapArray[leftChild].getKey() <
                             heapArray[rightChild].getKey())
            largerChild = rightChild;
         else
            largerChild = leftChild;
                                          // top >= largerChild?
         if(top.getKey() >= heapArray[largerChild].getKey())
            break;
                                          // shift child up
         heapArray[index] = heapArray[largerChild];
         index = largerChild;             // go down
         }  // end while
      heapArray[index] = top;             // root to index
      }  // end trickleDown()
// -------------------------------------------------------------
// -------------------------------------------------------------
   public int[] displayArray(int[] array)
      {
       for(int j=0; j<maxSize; j++)
       {
           array[j] = heapArray[j].getKey();
       }
       return array;
      }
// -------------------------------------------------------------
   public void insertAt(int index, Node newNode)
      { heapArray[index] = newNode; }
// -------------------------------------------------------------
   public void incrementSize()
      { currentSize++; }
// -------------------------------------------------------------
   }  // end class Heap
////////////////////////////////////////////////////////////////
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