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发表时间:2012-01-12
import java.util.Arrays; import java.util.Random; public class MinKElement { /** * 5.最小的K个元素 * I would like to use MaxHeap. * using QuickSort is also OK */ public static void main(String[] args) { MinKElement mke=new MinKElement(); int[] a={1,2,3,4,5,6,7,8}; int k=4; mke.disArrange(a); System.out.println("after disarranging,the array a[]="+Arrays.toString(a)); mke.findKMin(a,k); } //rearrange the array.just for test. public void disArrange(int[] a){ for(int i=0,len=a.length;i<len;i++){ Random random=new Random(); int j=random.nextInt(len); swap(a,i,j); } } public void findKMin(int[] a,int k){ int[] heap=a;//you can do this:int[] heap=new int[k].but that maybe space-cost //create MaxHeap of K elements.from the lastRootIndex to 0. int rootIndex=k/2-1; while(rootIndex>=0){ reheap(heap,rootIndex,k-1); rootIndex--; } for(int i=k,len=heap.length;i<len;i++){ if(heap[i]<heap[0]){ heap[0]=heap[i]; reheap(heap,0,k-1); } } System.out.print("the K min elements="); for(int i=0;i<k;i++){ System.out.print(heap[i]+","); } } //reheap:from root to lastIndex. public void reheap(int[] heap,int rootIndex,int lastIndex){ int orphan=heap[rootIndex]; boolean done=false; int leftIndex=rootIndex*2+1; while(!done&&leftIndex<=lastIndex){ int largerIndex=leftIndex; if(leftIndex+1<=lastIndex){ int rightIndex=leftIndex+1; if(heap[rightIndex]>heap[leftIndex]){ largerIndex=rightIndex; } } //Attention! should not use -->heap[root]<heap[largerIndex]<--. //I spend time to find the problem.... if(orphan<heap[largerIndex]){ heap[rootIndex]=heap[largerIndex]; rootIndex=largerIndex; leftIndex=rootIndex*2+1; }else{ done=true; } } heap[rootIndex]=orphan; } public void swap(int[] a,int i,int j){ int temp=a[i]; a[i]=a[j]; a[j]=temp; } } 声明:ITeye文章版权属于作者,受法律保护。没有作者书面许可不得转载。
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