各种排序算法java实现
插入排序:
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package org.rut.util.algorithm.support;
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import org.rut.util.algorithm.SortUtil;
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public class InsertSort implements SortUtil.Sort{
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/* (non-Javadoc)
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* @see org.rut.util.algorithm.SortUtil.Sort#sort(int[])
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*/
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public void sort(int[] data) {
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int temp;
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for(int i=1;i<data.length;i++){
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for(int j=i;(j>0)&&(data[j]<data[j-1]);j–){
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SortUtil.swap(data,j,j-1);
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}
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}
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}
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}
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<span id="more-798"></span>
冒泡排序:
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package org.rut.util.algorithm.support;
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import org.rut.util.algorithm.SortUtil;
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public class BubbleSort implements SortUtil.Sort{
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/* (non-Javadoc)
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* @see org.rut.util.algorithm.SortUtil.Sort#sort(int[])
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*/
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public void sort(int[] data) {
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int temp;
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for(int i=0;i<data.length;i++){
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for(int j=data.length-1;j>i;j–){
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if(data[j]<data[j-1]){
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SortUtil.swap(data,j,j-1);
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}
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}
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}
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}
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}
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选择排序:
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package org.rut.util.algorithm.support;
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import org.rut.util.algorithm.SortUtil;
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public class SelectionSort implements SortUtil.Sort {
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/*
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* (non-Javadoc)
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*
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* @see org.rut.util.algorithm.SortUtil.Sort#sort(int[])
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*/
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public void sort(int[] data) {
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int temp;
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for (int i = 0; i < data.length; i++) {
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int lowIndex = i;
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for (int j = data.length – 1; j > i; j–) {
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if (data[j] < data[lowIndex]) {
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lowIndex = j;
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}
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}
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SortUtil.swap(data,i,lowIndex);
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}
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}
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}
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Shell排序:
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package org.rut.util.algorithm.support;
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import org.rut.util.algorithm.SortUtil;
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public class ShellSort implements SortUtil.Sort{
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/* (non-Javadoc)
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* @see org.rut.util.algorithm.SortUtil.Sort#sort(int[])
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*/
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public void sort(int[] data) {
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for(int i=data.length/2;i>2;i/=2){
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for(int j=0;j<i;j++){
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insertSort(data,j,i);
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}
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}
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insertSort(data,0,1);
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}
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/**
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* @param data
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* @param j
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* @param i
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*/
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private void insertSort(int[] data, int start, int inc) {
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int temp;
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for(int i=start+inc;i<data.length;i+=inc){
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for(int j=i;(j>=inc)&&(data[j]<data[j-inc]);j-=inc){
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SortUtil.swap(data,j,j-inc);
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}
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}
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}
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}
快速排序:
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package org.rut.util.algorithm.support;
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import org.rut.util.algorithm.SortUtil;
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public class QuickSort implements SortUtil.Sort{
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/* (non-Javadoc)
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* @see org.rut.util.algorithm.SortUtil.Sort#sort(int[])
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*/
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public void sort(int[] data) {
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quickSort(data,0,data.length-1);
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}
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private void quickSort(int[] data,int i,int j){
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int pivotIndex=(i+j)/2;
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//swap
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SortUtil.swap(data,pivotIndex,j);
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int k=partition(data,i-1,j,data[j]);
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SortUtil.swap(data,k,j);
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if((k-i)>1) quickSort(data,i,k-1);
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if((j-k)>1) quickSort(data,k+1,j);
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}
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/**
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* @param data
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* @param i
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* @param j
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* @return
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*/
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private int partition(int[] data, int l, int r,int pivot) {
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do{
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while(data[++l]<pivot);
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while((r!=0)&&data[–r]>pivot);
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SortUtil.swap(data,l,r);
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}
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while(l<r);
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SortUtil.swap(data,l,r);
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return l;
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}
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}
改进后的快速排序:
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package org.rut.util.algorithm.support;
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import org.rut.util.algorithm.SortUtil;
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public class ImprovedQuickSort implements SortUtil.Sort {
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private static int MAX_STACK_SIZE=4096;
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private static int THRESHOLD=10;
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/* (non-Javadoc)
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* @see org.rut.util.algorithm.SortUtil.Sort#sort(int[])
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*/
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public void sort(int[] data) {
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int[] stack=new int[MAX_STACK_SIZE];
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int top=-1;
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int pivot;
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int pivotIndex,l,r;
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stack[++top]=0;
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stack[++top]=data.length-1;
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while(top>0){
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int j=stack[top–];
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int i=stack[top–];
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pivotIndex=(i+j)/2;
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pivot=data[pivotIndex];
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SortUtil.swap(data,pivotIndex,j);
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//partition
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l=i-1;
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r=j;
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do{
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while(data[++l]<pivot);
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while((r!=0)&&(data[–r]>pivot));
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SortUtil.swap(data,l,r);
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}
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while(l<r);
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SortUtil.swap(data,l,r);
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SortUtil.swap(data,l,j);
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if((l-i)>THRESHOLD){
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stack[++top]=i;
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stack[++top]=l-1;
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}
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if((j-l)>THRESHOLD){
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stack[++top]=l+1;
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stack[++top]=j;
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}
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}
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//new InsertSort().sort(data);
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insertSort(data);
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}
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/**
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* @param data
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*/
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private void insertSort(int[] data) {
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int temp;
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for(int i=1;i<data.length;i++){
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for(int j=i;(j>0)&&(data[j]<data[j-1]);j–){
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SortUtil.swap(data,j,j-1);
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}
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}
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}
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}
归并排序:
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package org.rut.util.algorithm.support;
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import org.rut.util.algorithm.SortUtil;
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public class MergeSort implements SortUtil.Sort{
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/* (non-Javadoc)
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* @see org.rut.util.algorithm.SortUtil.Sort#sort(int[])
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*/
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public void sort(int[] data) {
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int[] temp=new int[data.length];
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mergeSort(data,temp,0,data.length-1);
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}
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private void mergeSort(int[] data,int[] temp,int l,int r){
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int mid=(l+r)/2;
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if(l==r) return ;
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mergeSort(data,temp,l,mid);
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mergeSort(data,temp,mid+1,r);
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for(int i=l;i<=r;i++){
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temp[i]=data[i];
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}
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int i1=l;
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int i2=mid+1;
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for(int cur=l;cur<=r;cur++){
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if(i1==mid+1)
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data[cur]=temp[i2++];
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else if(i2>r)
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data[cur]=temp[i1++];
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else if(temp[i1]<temp[i2])
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data[cur]=temp[i1++];
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else
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data[cur]=temp[i2++];
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}
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}
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}
改进后的归并排序:
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package org.rut.util.algorithm.support;
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import org.rut.util.algorithm.SortUtil;
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public class ImprovedMergeSort implements SortUtil.Sort {
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private static final int THRESHOLD = 10;
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/*
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* (non-Javadoc)
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*
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* @see org.rut.util.algorithm.SortUtil.Sort#sort(int[])
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*/
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public void sort(int[] data) {
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int[] temp=new int[data.length];
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mergeSort(data,temp,0,data.length-1);
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}
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private void mergeSort(int[] data, int[] temp, int l, int r) {
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int i, j, k;
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int mid = (l + r) / 2;
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if (l == r)
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return;
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if ((mid – l) >= THRESHOLD)
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mergeSort(data, temp, l, mid);
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else
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insertSort(data, l, mid – l + 1);
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if ((r – mid) > THRESHOLD)
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mergeSort(data, temp, mid + 1, r);
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else
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insertSort(data, mid + 1, r – mid);
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for (i = l; i <= mid; i++) {
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temp[i] = data[i];
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}
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for (j = 1; j <= r – mid; j++) {
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temp[r – j + 1] = data[j + mid];
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}
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int a = temp[l];
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int b = temp[r];
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for (i = l, j = r, k = l; k <= r; k++) {
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if (a < b) {
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data[k] = temp[i++];
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a = temp[i];
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} else {
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data[k] = temp[j–];
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b = temp[j];
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}
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}
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}
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/**
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* @param data
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* @param l
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* @param i
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*/
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private void insertSort(int[] data, int start, int len) {
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for(int i=start+1;i<start+len;i++){
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for(int j=i;(j>start) && data[j]<data[j-1];j–){
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SortUtil.swap(data,j,j-1);
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}
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}
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}
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}
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堆排序:
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package org.rut.util.algorithm.support;
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import org.rut.util.algorithm.SortUtil;
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public class HeapSort implements SortUtil.Sort{
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/* (non-Javadoc)
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* @see org.rut.util.algorithm.SortUtil.Sort#sort(int[])
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*/
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public void sort(int[] data) {
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MaxHeap h=new MaxHeap();
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h.init(data);
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for(int i=0;i<data.length;i++)
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h.remove();
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}
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private static class MaxHeap{
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void init(int[] data){
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this.queue=new int[data.length+1];
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for(int i=0;i<data.length;i++){
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queue[++size]=data[i];
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fixUp(size);
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}
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}
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private int size=0;
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private int[] queue;
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public int get() {
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return queue[1];
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}
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public void remove() {
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SortUtil.swap(queue,1,size–);
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fixDown(1);
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}
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//fixdown
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private void fixDown(int k) {
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int j;
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while ((j = k << 1) <= size) {
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if (j < size && queue[j]<queue[j+1])
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j++;
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if (queue[k]>queue[j]) //不用交换
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break;
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SortUtil.swap(queue,j,k);
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k = j;
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}
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}
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private void fixUp(int k) {
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while (k > 1) {
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int j = k >> 1;
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if (queue[j]>queue[k])
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break;
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SortUtil.swap(queue,j,k);
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k = j;
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}
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}
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}
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}
SortUtil:
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package org.rut.util.algorithm;
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import org.rut.util.algorithm.support.BubbleSort;
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import org.rut.util.algorithm.support.HeapSort;
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import org.rut.util.algorithm.support.ImprovedMergeSort;
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import org.rut.util.algorithm.support.ImprovedQuickSort;
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import org.rut.util.algorithm.support.InsertSort;
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import org.rut.util.algorithm.support.MergeSort;
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import org.rut.util.algorithm.support.QuickSort;
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import org.rut.util.algorithm.support.SelectionSort;
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import org.rut.util.algorithm.support.ShellSort;
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public class SortUtil {
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public final static int INSERT = 1;
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public final static int BUBBLE = 2;
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public final static int SELECTION = 3;
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public final static int SHELL = 4;
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public final static int QUICK = 5;
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public final static int IMPROVED_QUICK = 6;
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public final static int MERGE = 7;
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public final static int IMPROVED_MERGE = 8;
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public final static int HEAP = 9;
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public static void sort(int[] data) {
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sort(data, IMPROVED_QUICK);
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}
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"insert","bubble","selection","shell","quick","improved_quick","merge","improved_merge","heap"
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};
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private static Sort[] impl=new Sort[]{
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new InsertSort(),
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new BubbleSort(),
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new SelectionSort(),
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new ShellSort(),
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new QuickSort(),
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new ImprovedQuickSort(),
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new MergeSort(),
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new ImprovedMergeSort(),
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new HeapSort()
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};
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return name[algorithm-1];
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}
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public static void sort(int[] data, int algorithm) {
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impl[algorithm-1].sort(data);
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}
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public static interface Sort {
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public void sort(int[] data);
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}
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public static void swap(int[] data, int i, int j) {
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int temp = data[i];
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data[i] = data[j];
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data[j] = temp;
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}
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}
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