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快速排序的基本思想是:通过一趟排序将待排记录分割成独立的两部分,其中一部分记录的关键字均比另一部分记录的关键字小,则可分别对这两部分记录继续进行排序,已达到整个序列有序.
快速排序是一种不稳定的排序方法,其平均时间复杂度为:O(NlogN),最坏的情况是O(N*N)
特别注意:快速排序中用到的Partition函数,它的作用是进行一趟快速排序,返回“参考目标”的最终位置p,经过Partition处理之后,p左边的记录关键字均不大于参考目标,p右边的记录关键字均不小于参考目标。 Partition函数在找出数组中最大或最小的k个记录也很有用.
C++代码如下:
#include <iostream>
#include <vector>
#include <stack>
using namespace std;
template <typename Comparable>
int partition(vector<Comparable> &vec,int low, int high){
Comparable pivot = vec[low];
while (low<high)
{
while (low<high && vec[high]>=pivot)
{
high--;
}
vec[low] = vec[high];
while (low <high&&vec[low]<=pivot)
{
low++;
}
vec[high] = vec[low];
}
vec[low] = pivot;
return low;
}
//使用递归快速排序
template<typename Comparable>
void quicksort1(vector<Comparable> &vec,int low ,int high){
if (low <high)
{
int mid = partition(vec, low, high);
quicksort1(vec, low, mid - 1);
quicksort1(vec, mid + 1, high);
}
}
//其实就是用栈保存每一个待排序子串的首尾元素下标,下一次while循环时取出这个范围,对这段子序列进行partition操作,
//每次得到的mid都是vector的最终位置,知道栈中不需要放入,也没有数据时,循环结束
template<typename Comparable>
void quicksort2(vector<Comparable> &vec, int low, int high){
stack<int> st;
if (low<high)
{
int mid = partition(vec, low, high);
if (low<mid-1)
{
st.push(low);
st.push(mid - 1);
}
if (mid+1<high)
{
st.push(mid + 1);
st.push(high);
}
while (!st.empty())
{
int q = st.top();
st.pop();
int p = st.top();
st.pop();
mid = partition(vec, p, q);
if (p<mid-1)
{
st.push(p);
st.push(mid - 1);
}
if (mid+1<q)
{
st.push(mid + 1);
st.push(q);
}
}
}
}
int _tmain(int argc, _TCHAR* argv[])
{
int a[10] = { 12, 21, 33, 4, 50, 62, 71, 52,111,9 };
vector<int> vec(a, a + 10);
int len = vec.size();
//quicksort1(vec, 0, len - 1);
quicksort2(vec, 0, len - 1);
for (int i=0; i < len;i++)
{
cout << vec[i]<< endl;
}
system("pause");
return 0;
}
`

java代码实现:
package com.bineraytree.test;
import java.util.Stack;
public class StackTest {
protected static int partition(int arr[],int low,int high) {
int i=low,j=high;
int temp=arr[low];
while(i<j) {
while (i<j&& temp <= arr[j])
--j;
arr[i] = arr[j];
while(i<j && temp >= arr[i])
++i;
arr[j] = arr[i];
}
arr[i] = temp;
return i;
}
//递归排序
public static void quickSort1(int arr[],int low,int high){
if(low < high) {
int mid = partition(arr, low, high);
quickSort1(arr, low, mid-1);
quickSort1(arr, mid+1, high);
}
}
//非递归实现
public static void quickSort2(int arr[],int low,int high) {
Stack<Integer> st = new Stack<Integer>();
if (low < high) {
int mid = partition(arr, low, high);
if (mid-1 > low) {
st.push(mid-1);
st.push(low);
}
if (mid+1 < high) {
st.push(high);
st.push(mid+1);
}
while (!st.isEmpty()) {
int q_low = st.peek();
st.pop();
int p_high = st.peek();
st.pop();
mid = partition(arr, q_low, p_high);
if (mid-1 > q_low) {
st.push(mid-1);
st.push(q_low);
}
if (mid+1 < p_high) {
st.push(p_high);
st.push(mid+1);
}
}
}
}
public static void main(String[] args) {
int[] arr = new int[]{10,12,5,8,96,54,36,25,1,258,366};
// Stack<int> stack = new Stack<int>();
// for (int i = 0; i < arr.length; i++) {
// stack.push(arr[i]);
// }
// System.out.println(stack.search(96)+"-------");
// for (int i = 0; i < arr.length; i++) {
// System.out.println(stack.peek()+"this is peek");
// System.out.println(stack.pop()+" is outing!!");
// System.out.println(stack.isEmpty());
// }
quickSort1(arr,0, arr.length-1);
// quickSort2(arr,0, arr.length-1);
for (int i = 0; i < arr.length; i++) {
System.out.println(arr[i]);
}
}
}

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