用Java语言实现的各种排序，包括插入排序、冒泡排序、选择排序、Shell排序、快速排序、归并排序、堆排序、SortUtil等。
插入排序：
package org.rut.util.algorithm.support;
import org.rut.util.algorithm.SortUtil;
/**
* @author treeroot
* @since 2006-2-2
* @version 1.0
*/
public class InsertSort implements SortUtil.Sort
{
/* (non-Javadoc)
* @see org.rut.util.algorithm.SortUtil.Sort#sort(int[])
*/
public void sort(int[] data)
{
int temp;
for(int i=1;i for(int j=i;(j>0)&&(data[j] SortUtil.swap(data,j,j-1);
}
}
冒泡排序：
package org.rut.util.algorithm.support;
import org.rut.util.algorithm.SortUtil;
/**
* @author treeroot
* @since 2006-2-2
* @version 1.0
*/
public class BubbleSort implements SortUtil.Sort
{
/* (non-Javadoc)
* @see org.rut.util.algorithm.SortUtil.Sort#sort(int[])
*/
public void sort(int[] data)
{
int temp;
for(int i=0;i for(int j=data.length-1;j>i;j--)
{
if(data[j] SortUtil.swap(data,j,j-1);
}
}
}
选择排序：
package org.rut.util.algorithm.support;
import org.rut.util.algorithm.SortUtil;
/**
* @author treeroot
* @since 2006-2-2
* @version 1.0
*/
public class SelectionSort implements SortUtil.Sort
{
/*
* (non-Javadoc)
*
* @see org.rut.util.algorithm.SortUtil.Sort#sort(int[])
*/
public void sort(int[] data)
{
int temp;
for (int i = 0; i < data.length; i++)
{
int lowIndex = i;
for (int j = data.length - 1; j >i; j--)
{
if (data[j] < data[lowIndex])
{
lowIndex = j;
}
}
SortUtil.swap(data,i,lowIndex);
}
}
}
Shell排序：
package org.rut.util.algorithm.support;
import org.rut.util.algorithm.SortUtil;
/**
* @author treeroot
* @since 2006-2-2
* @version 1.0
*/
public class ShellSort implements SortUtil.Sort
{
/* (non-Javadoc)
* @see org.rut.util.algorithm.SortUtil.Sort#sort(int[])
*/
public void sort(int[] data)
{
for(int i=data.length/2;i>2;i/=2)
{
for(int j=0;j insertSort(data,j,i);
}
}
insertSort(data,0,1);
}
/**
* @param data
* @param j
* @param i
*/
private void insertSort(int[] data, int start, int inc)
{
int temp;
for(int i=start+inc;i for(int j=i;(j>=inc)&&(data[j] SortUtil.swap(data,j,j-inc);
}
快速排序：
package org.rut.util.algorithm.support;
import org.rut.util.algorithm.SortUtil;
/**
* @author treeroot
* @since 2006-2-2
* @version 1.0
*/
public class QuickSort implements SortUtil.Sort
{
/* (non-Javadoc)
* @see org.rut.util.algorithm.SortUtil.Sort#sort(int[])
*/
public void sort(int[] data)
{
quickSort(data,0,data.length-1);
}
private void quickSort(int[] data,int i,int j)
{
int pivotIndex=(i+j)/2;
//swap
SortUtil.swap(data,pivotIndex,j);
int k=partition(data,i-1,j,data[j]);
SortUtil.swap(data,k,j);
if((k-i)>1) quickSort(data,i,k-1);
if((j-k)>1) quickSort(data,k+1,j);
}
/**
* @param data
* @param i
* @param j
* @return
*/
private int partition(int[] data, int l, int r,int pivot)
{
do
{
while(data[++l] while((r!=0)&&data[--r]>pivot);
SortUtil.swap(data,l,r);
}
while(l SortUtil.swap(data,l,r);
return l;
}
}
改进后的快速排序：
package org.rut.util.algorithm.support;
import org.rut.util.algorithm.SortUtil;
/**
* @author treeroot
* @since 2006-2-2
* @version 1.0
*/
public class ImprovedQuickSort implements SortUtil.Sort
{
private static int MAX_STACK_SIZE=4096;
private static int THRESHOLD=10;
/* (non-Javadoc)
* @see org.rut.util.algorithm.SortUtil.Sort#sort(int[])
*/
public void sort(int[] data)
{
int[] stack=new int[MAX_STACK_SIZE];
int top=-1;
int pivot;
int pivotIndex,l,r;
stack[++top]=0;
stack[++top]=data.length-1;
while(top>0)
{
int j=stack[top--];
int i=stack[top--];
pivotIndex=(i+j)/2;
pivot=data[pivotIndex];
SortUtil.swap(data,pivotIndex,j);
//partition
l=i-1;
r=j;
do
{
while(data[++l] while((r!=0)&&(data[--r]>pivot));
SortUtil.swap(data,l,r);
}
while(l SortUtil.swap(data,l,r);
SortUtil.swap(data,l,j);
if((l-i)>THRESHOLD)
{
stack[++top]=i;
stack[++top]=l-1;
}
if((j-l)>THRESHOLD)
{
stack[++top]=l+1;
stack[++top]=j;
}
}
//new InsertSort().sort(data);
insertSort(data);
}
/**
* @param data
*/
private void insertSort(int[] data)
{
int temp;
for(int i=1;i for(int j=i;(j>0)&&(data[j] SortUtil.swap(data,j,j-1);
}
}
归并排序：
package org.rut.util.algorithm.support;
import org.rut.util.algorithm.SortUtil;
/**
* @author treeroot
* @since 2006-2-2
* @version 1.0
*/
public class MergeSort implements SortUtil.Sort
{
/* (non-Javadoc)
* @see org.rut.util.algorithm.SortUtil.Sort#sort(int[])
*/
public void sort(int[] data)
{
int[] temp=new int[data.length];
mergeSort(data,temp,0,data.length-1);
}
private void mergeSort(int[] data,int[] temp,int l,int r)
{
int mid=(l+r)/2;
if(l==r) return ;
mergeSort(data,temp,l,mid);
mergeSort(data,temp,mid+1,r);
for(int i=l;i<=r;i++){
temp[i]=data[i];
}
int i1=l;
int i2=mid+1;
for(int cur=l;cur<=r;cur++)
{
if(i1==mid+1)
data[cur]=temp[i2++];
else if(i2>r)
data[cur]=temp[i1++];
else if(temp[i1] data[cur]=temp[i1++];
else
data[cur]=temp[i2++];
}
}
改进后的归并排序:
package org.rut.util.algorithm.support;
import org.rut.util.algorithm.SortUtil;
/**
* @author treeroot
* @since 2006-2-2
* @version 1.0
*/
public class ImprovedMergeSort implements SortUtil.Sort
{
private static final int THRESHOLD = 10;
/*
* (non-Javadoc)
*
* @see org.rut.util.algorithm.SortUtil.Sort#sort(int[])
*/
public void sort(int[] data)
{
int[] temp=new int[data.length];
mergeSort(data,temp,0,data.length-1);
}
private void mergeSort(int[] data, int[] temp, int l, int r)
{
int i, j, k;
int mid = (l + r) / 2;
if (l == r)
return;
if ((mid - l) >= THRESHOLD)
mergeSort(data, temp, l, mid);
else
insertSort(data, l, mid - l + 1);
if ((r - mid) >THRESHOLD)
mergeSort(data, temp, mid + 1, r);
else
insertSort(data, mid + 1, r - mid);
for (i = l; i <= mid; i++)
{
temp[i] = data[i];
}
for (j = 1; j <= r - mid; j++)
{
temp[r - j + 1] = data[j + mid];
}
int a = temp[l];
int b = temp[r];
for (i = l, j = r, k = l; k <= r; k++)
{
if (a < b)
{
data[k] = temp[i++];
a = temp[i];
}
else
{
data[k] = temp[j--];
b = temp[j];
}
}
}
/**
* @param data
* @param l
* @param i
*/
private void insertSort(int[] data, int start, int len)
{
for(int i=start+1;i for(int j=i;(j>start) && data[j] SortUtil.swap(data,j,j-1);
}
}
堆排序：
package org.rut.util.algorithm.support;
import org.rut.util.algorithm.SortUtil;
/**
* @author treeroot
* @since 2006-2-2
* @version 1.0
*/
public class HeapSort implements SortUtil.Sort
{
/* (non-Javadoc)
* @see org.rut.util.algorithm.SortUtil.Sort#sort(int[])
*/
public void sort(int[] data)
{
MaxHeap h=new MaxHeap();
h.init(data);
for(int i=0;i h.remove();
System.arraycopy(h.queue,1,data,0,data.length);
}
private static class MaxHeap
{
void init(int[] data)
{
this.queue=new int[data.length+1];
for(int i=0;i queue[++size]=data[i];
fixUp(size);
}
}
private int size=0;
private int[] queue;
public int get()
{
return queue[1];
}
public void remove()
{
SortUtil.swap(queue,1,size--);
fixDown(1);
}
//fixdown
private void fixDown(int k)
{
int j;
while ((j = k << 1) <= size)
{
if (j < size && queue[j] j++;
if (queue[k]>queue[j]) //不用交换
break;
SortUtil.swap(queue,j,k);
k = j;
}
}
private void fixUp(int k)
{
while (k >1)
{
int j = k >>1;
if (queue[j]>queue[k])
break;
SortUtil.swap(queue,j,k);
k = j;
}
}
}
SortUtil：
package org.rut.util.algorithm;
import org.rut.util.algorithm.support.BubbleSort;
import org.rut.util.algorithm.support.HeapSort;
import org.rut.util.algorithm.support.ImprovedMergeSort;
import org.rut.util.algorithm.support.ImprovedQuickSort;
import org.rut.util.algorithm.support.InsertSort;
import org.rut.util.algorithm.support.MergeSort;
import org.rut.util.algorithm.support.QuickSort;
import org.rut.util.algorithm.support.SelectionSort;
import org.rut.util.algorithm.support.ShellSort;
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