Java HeapSort

/**
* <html>
* <body>
* <P> Copyright 1994-2018 JasonInternational </p>
* <p> All rights reserved.</p>
* <p> Created on 2018年4月10日 </p>
* <p> Created by Jason</p>
* </body>
* </html>
*/
package cn.ucaner.algorithm.sorts; /**
* Heapsort is a comparison-based sorting algorithm to create a sorted array (or
* list), and is part of the selection sort family. Although somewhat slower in
* practice on most machines than a well-implemented quicksort, it has the
* advantage of a more favorable worst-case O(n log n) runtime.
* <p>
* Family: Selection.<br>
* Space: In-place.<br>
* Stable: False.<br>
* <p>
* Average case = O(n*log n)<br>
* Worst case = O(n*log n)<br>
* Best case = O(n*log n)<br>
* <p>
* @see <a href="https://en.wikipedia.org/wiki/Heap_sort">Heap Sort (Wikipedia)</a>
* <br>
* @author Justin Wetherell <phishman3579@gmail.com>
*/
public class HeapSort<T extends Comparable<T>> { private HeapSort() { } public static <T extends Comparable<T>> T[] sort(T[] unsorted) {
createHeap(unsorted);
sortHeap(unsorted);
return unsorted;
} private static <T extends Comparable<T>> void sortHeap(T[] unsorted) {
int length = unsorted.length;
for (int index = length - 1; index > 0; index--) {
swap(0, index, unsorted); // swap root with the last heap element
int i = 0; // index of the element being moved down the tree
while (true) {
int left = (i * 2) + 1;
if (left >= index) // node has no left child
break;
int right = left + 1;
if (right >= index) { // node has a left child, but no right child
if (unsorted[left].compareTo(unsorted[i]) > 0)
swap(left, i, unsorted); // if left child is greater than node
break;
}
T ithElement = unsorted[i];
T leftElement = unsorted[left];
T rightElement = unsorted[right];
if (ithElement.compareTo(leftElement) < 0) { // (left > i)
if (unsorted[left].compareTo(rightElement) > 0) { // (left > right)
swap(left, i, unsorted);
i = left;
continue;
}
// (left > i)
swap(right, i, unsorted);
i = right;
continue;
}
// (i > left)
if (rightElement.compareTo(ithElement) > 0) {
swap(right, i, unsorted);
i = right;
continue;
}
// (n > left) & (n > right)
break;
}
}
} private static <T extends Comparable<T>> void createHeap(T[] unsorted) {
// Creates a max heap
int size = 0;
int length = unsorted.length;
for (int i = 0; i < length; i++) {
T e = unsorted[i];
size = add(size, e, unsorted);
}
} private static <T extends Comparable<T>> int add(int size, T element, T[] unsorted) {
int length = size;
int i = length;
unsorted[length++] = element;
T e = unsorted[i];
int parentIndex = ((i - 1) / 2);
T parent = unsorted[parentIndex];
while (e.compareTo(parent) > 0) {
swap(parentIndex, i, unsorted);
i = parentIndex;
e = unsorted[i];
parentIndex = ((i - 1) / 2);
parent = unsorted[parentIndex];
}
return length;
} private static <T extends Comparable<T>> void swap(int parentIndex, int childIndex, T[] unsorted) {
T parent = unsorted[parentIndex];
unsorted[parentIndex] = unsorted[childIndex];
unsorted[childIndex] = parent;
}
}

  

Java HeapSort的更多相关文章

  1. Spark案例分析

    一.需求:计算网页访问量前三名 import org.apache.spark.rdd.RDD import org.apache.spark.{SparkConf, SparkContext} /* ...

  2. Java演算法之堆排序(HeapSort)

    import java.util.Arrays; publicclass HeapSort { inta[]={49,38,65,97,76,13,27,49,78,34,12,64,5,4,62,9 ...

  3. Heapsort 堆排序算法详解(Java实现)

    Heapsort (堆排序)是最经典的排序算法之一,在google或者百度中搜一下可以搜到很多非常详细的解析.同样好的排序算法还有quicksort(快速排序)和merge sort(归并排序),选择 ...

  4. [转载]堆排序(HeapSort) Java实现

    堆排序的思想是利用数据结构--堆.具体的实现细节: 1. 构建一个最大堆.对于给定的包含有n个元素的数组A[n],构建一个最大堆(最大堆的特性是,某个节点的值最多和其父节点的值一样大.这样,堆中的最大 ...

  5. heapsort(Java)(最小堆)

    public static void main(String[] args) { Scanner input = new Scanner(System.in); int n = input.nextI ...

  6. 堆排序Heapsort的Java和C代码

    Heapsort排序思路 将整个数组看作一个二叉树heap, 下标0为堆顶层, 下标1, 2为次顶层, 然后每层就是"3,4,5,6", "7, 8, 9, 10, 11 ...

  7. 8个排序算法——java

    public static void radixsort(int[] a){ int max=a[0]; for(int i=1;i<a.length;i++){ if (max<a[i] ...

  8. java排序学习笔记

    前面写了js的排序实现,总得玩玩java的哈. 同样,冒泡.选择.快速(这三个之前实现过也写过文章).堆排序,然后做比较. 主要遇到的难点: - -||想轻松点写个封装计时的逻辑,不想每调用一个排序就 ...

  9. Java各种排序算法详解

    排序大的分类可以分为两种:内排序和外排序.在排序过程中,全部记录存放在内存,则称为内排序,如果排序过程中需要使用外存,则称为外排序.下面讲的排序都是属于内排序. 内排序有可以分为以下几类: (1).插 ...

随机推荐

  1. 软阈值迭代算法(ISTA)和快速软阈值迭代算法(FISTA)

    缺月挂疏桐,漏断人初静. 谁见幽人独往来,缥缈孤鸿影. 惊起却回头,有恨无人省. 拣尽寒枝不肯栖,寂寞沙洲冷.---- 苏轼 更多精彩内容请关注微信公众号 "优化与算法" ISTA ...

  2. swoole的websockte例子

    服务器的环境,建议用bt.cn的一键环境 服务端: <?php /** * Created by PhpStorm. * User: Administrator * Date: 2019\5\2 ...

  3. 【Java】能提高日常工作效率的一些Java函数

    自编工具总是临时抱佛脚来得顺溜,宜常备手边以提高工作效率: package com.hy; import java.io.File; /** * 日常工作常用的一些工具方法 * @author 逆火 ...

  4. std::wstring std::string w2m m2w

    static std::wstring m2w(std::string ch, unsigned int CodePage = CP_ACP) { if (ch.empty())return L&qu ...

  5. CentOS7下配置Tomcat以APR模式+Tomcat Native运行

    在慢速网络上Tomcat线程数开到300以上的水平,不配APR,基本上300个线程狠快就会用满,以后的请求就只好等待.但是配上APR之后,Tomcat将以JNI的形式调用Apache HTTP服务器的 ...

  6. ubuntu 17.04 Tomcat安装

    安装Tomcat分为两步: JDK和Tomcat 安装jdk 1.在oralce官网下载jdk

  7. LeetCode_171. Excel Sheet Column Number

    171. Excel Sheet Column Number Easy Given a column title as appear in an Excel sheet, return its cor ...

  8. kubeadm 安装kubernetes1.6.2

    准备工作 安装依赖 yum install -y wget vim net-tools epel-release 修改内核参数 cat <<EOF > /etc/sysctl.d/k ...

  9. iOS-UITextField和UITextView隐藏键盘

    UITextField和UITextView隐藏键盘 71 views, IOS DEV, by admin. self._textField.returnKeyType=UIReturnKeyDon ...

  10. 查看某个进程PID对应的文件句柄数量,查看某个进程当前使用的文件句柄数量

    ================================ 1.linux所有句柄查询 lsof -n|awk '{print $2}'|sort|uniq -c |sort -nr|more ...