算法Sedgewick第四版-第1章基础-2.1Elementary Sortss-006归并排序(Mergesort)
一、
1.特点
(1)merge-sort : to sort an array, divide it into two halves, sort the two halves (recursively), and then merge the results. As you will see, one of mergesort’s most attractive properties is that it guarantees to sort any array of N items in time proportional to N log N. Its prime disadvantage is that it uses extra space proportional to N.
(2)
(3)
(4)
(5)
2.缺点
■ Mergesort is not optimal with respect to space usage.
■ The worst case may not be likely in practice.
■ Operations other than compares (such as array accesses) may be important.
■ One can sort certain data without using any compares.
Thus, we shall be considering several other sorting methods in this book.
3.介绍
二、
1.代码
package algorithms.mergesort22; import algorithms.util.StdIn;
import algorithms.util.StdOut; /******************************************************************************
* Compilation: javac Merge.java
* Execution: java Merge < input.txt
* Dependencies: StdOut.java StdIn.java
* Data files: http://algs4.cs.princeton.edu/22mergesort/tiny.txt
* http://algs4.cs.princeton.edu/22mergesort/words3.txt
*
* Sorts a sequence of strings from standard input using mergesort.
*
* % more tiny.txt
* S O R T E X A M P L E
*
* % java Merge < tiny.txt
* A E E L M O P R S T X [ one string per line ]
*
* % more words3.txt
* bed bug dad yes zoo ... all bad yet
*
* % java Merge < words3.txt
* all bad bed bug dad ... yes yet zoo [ one string per line ]
*
******************************************************************************/ /**
* The <tt>Merge</tt> class provides static methods for sorting an
* array using mergesort.
* <p>
* For additional documentation, see <a href="http://algs4.cs.princeton.edu/22mergesort">Section 2.2</a> of
* <i>Algorithms, 4th Edition</i> by Robert Sedgewick and Kevin Wayne.
* For an optimized version, see {@link MergeX}.
*
* @author Robert Sedgewick
* @author Kevin Wayne
*/
public class Merge { // This class should not be instantiated.
private Merge() { } // stably merge a[lo .. mid] with a[mid+1 ..hi] using aux[lo .. hi]
private static void merge(Comparable[] a, Comparable[] aux, int lo, int mid, int hi) {
// precondition: a[lo .. mid] and a[mid+1 .. hi] are sorted subarrays
assert isSorted(a, lo, mid);
assert isSorted(a, mid+1, hi); // copy to aux[]
for (int k = lo; k <= hi; k++) {
aux[k] = a[k];
} // merge back to a[]
int i = lo, j = mid+1;
for (int k = lo; k <= hi; k++) {
if (i > mid) a[k] = aux[j++];
else if (j > hi) a[k] = aux[i++];
else if (less(aux[j], aux[i])) a[k] = aux[j++];
else a[k] = aux[i++];
} // postcondition: a[lo .. hi] is sorted
assert isSorted(a, lo, hi);
} // mergesort a[lo..hi] using auxiliary array aux[lo..hi]
private static void sort(Comparable[] a, Comparable[] aux, int lo, int hi) {
if (hi <= lo) return;
int mid = lo + (hi - lo) / 2;
sort(a, aux, lo, mid);
sort(a, aux, mid + 1, hi);
merge(a, aux, lo, mid, hi);
} /**
* Rearranges the array in ascending order, using the natural order.
* @param a the array to be sorted
*/
public static void sort(Comparable[] a) {
Comparable[] aux = new Comparable[a.length];
sort(a, aux, 0, a.length-1);
assert isSorted(a);
} /***************************************************************************
* Helper sorting functions.
***************************************************************************/ // is v < w ?
private static boolean less(Comparable v, Comparable w) {
return v.compareTo(w) < 0;
} // exchange a[i] and a[j]
private static void exch(Object[] a, int i, int j) {
Object swap = a[i];
a[i] = a[j];
a[j] = swap;
} /***************************************************************************
* Check if array is sorted - useful for debugging.
***************************************************************************/
private static boolean isSorted(Comparable[] a) {
return isSorted(a, 0, a.length - 1);
} private static boolean isSorted(Comparable[] a, int lo, int hi) {
for (int i = lo + 1; i <= hi; i++)
if (less(a[i], a[i-1])) return false;
return true;
} /***************************************************************************
* Index mergesort.
***************************************************************************/
// stably merge a[lo .. mid] with a[mid+1 .. hi] using aux[lo .. hi]
private static void merge(Comparable[] a, int[] index, int[] aux, int lo, int mid, int hi) { // copy to aux[]
for (int k = lo; k <= hi; k++) {
aux[k] = index[k];
} // merge back to a[]
int i = lo, j = mid+1;
for (int k = lo; k <= hi; k++) {
if (i > mid) index[k] = aux[j++];
else if (j > hi) index[k] = aux[i++];
else if (less(a[aux[j]], a[aux[i]])) index[k] = aux[j++];
else index[k] = aux[i++];
}
} /**
* Returns a permutation that gives the elements in the array in ascending order.
* @param a the array
* @return a permutation <tt>p[]</tt> such that <tt>a[p[0]]</tt>, <tt>a[p[1]]</tt>,
* ..., <tt>a[p[N-1]]</tt> are in ascending order
*/
public static int[] indexSort(Comparable[] a) {
int N = a.length;
int[] index = new int[N];
for (int i = 0; i < N; i++)
index[i] = i; int[] aux = new int[N];
sort(a, index, aux, 0, N-1);
return index;
} // mergesort a[lo..hi] using auxiliary array aux[lo..hi]
private static void sort(Comparable[] a, int[] index, int[] aux, int lo, int hi) {
if (hi <= lo) return;
int mid = lo + (hi - lo) / 2;
sort(a, index, aux, lo, mid);
sort(a, index, aux, mid + 1, hi);
merge(a, index, aux, lo, mid, hi);
} // print array to standard output
private static void show(Comparable[] a) {
for (int i = 0; i < a.length; i++) {
StdOut.println(a[i]);
}
} /**
* Reads in a sequence of strings from standard input; mergesorts them;
* and prints them to standard output in ascending order.
*/
public static void main(String[] args) {
//String[] a = StdIn.readAllStrings();
Integer[] a = {3,1,2,5,4};
Merge.sort(a);
show(a);
}
}
2.可视化
package algorithms.mergesort22; import algorithms.util.StdDraw;
import algorithms.util.StdRandom; /******************************************************************************
* Compilation: javac MergeBars.java
* Execution: java MergeBars M N
* Dependencies: StdDraw.java
*
* Sort N random real numbers between 0 and 1 (with M disintct values)
* using mergesort with cutoff to insertion sort.
*
* Visualize the results by ploting bars with heights proportional
* to the values.
*
* % java MergeBars 1000 96
*
* Comments
* --------
* - suggest removing the 10% default StdDraw border
* - if image is too large, it may not display properly but you can
* still save it to a file
*
******************************************************************************/ public class MergeBars {
private static final int VERTICAL = 70;
private static final int CUTOFF = 12; private static int numberOfRows;
private static int row = 0; // stably merge a[lo .. mid] with a[mid+1 .. hi] using aux[lo .. hi]
public static void merge(double[] a, double[] aux, int lo, int mid, int hi) { // copy to aux[]
for (int k = lo; k <= hi; k++) {
aux[k] = a[k];
} // merge back to a[]
int i = lo, j = mid+1;
for (int k = lo; k <= hi; k++) {
if (i > mid) a[k] = aux[j++];
else if (j > hi) a[k] = aux[i++];
else if (less(aux[j], aux[i])) a[k] = aux[j++];
else a[k] = aux[i++];
}
} // mergesort a[lo..hi] using auxiliary array aux[lo..hi]
private static void sort(double[] a, double[] aux, int lo, int hi) {
int N = hi - lo + 1;
if (N <= CUTOFF) {
insertionSort(a, lo, hi);
show(a, lo, hi);
return;
}
if (hi <= lo) return;
int mid = lo + (hi - lo) / 2;
sort(a, aux, lo, mid);
sort(a, aux, mid + 1, hi);
merge(a, aux, lo, mid, hi);
show(a, lo, hi);
} public static void sort(double[] a) {
double[] aux = new double[a.length];
sort(a, aux, 0, a.length-1);
} // sort from a[lo] to a[hi] using insertion sort
private static void insertionSort(double[] a, int lo, int hi) {
for (int i = lo; i <= hi; i++)
for (int j = i; j > lo && less(a[j], a[j-1]); j--)
exch(a, j, j-1);
} private static boolean less(double v, double w) {
return v < w;
} private static void exch(double[] a, int i, int j) {
double t = a[i];
a[i] = a[j];
a[j] = t;
} // draw one row of trace
private static void show(double[] a, int lo, int hi) {
double y = numberOfRows - row - 1;
for (int k = 0; k < a.length; k++) {
if (k < lo) StdDraw.setPenColor(StdDraw.LIGHT_GRAY);
else if (k > hi) StdDraw.setPenColor(StdDraw.LIGHT_GRAY);
else StdDraw.setPenColor(StdDraw.BLACK);
StdDraw.filledRectangle(k, y + a[k]*.25, .25, a[k]*.25);
}
row++;
} public static void main(String[] args) {
int M = Integer.parseInt(args[0]);
int N = Integer.parseInt(args[1]);
if (args.length == 3) {
long seed = Long.parseLong(args[2]);
StdRandom.setSeed(seed);
}
double[] a = new double[N];
double[] b = new double[N];
for (int i = 0; i < N; i++) {
a[i] = (1 + StdRandom.uniform(M)) / (double) M;
b[i] = a[i];
} // precompute the number of rows
StdDraw.show(0);
numberOfRows = 0;
sort(b);
numberOfRows = row;
row = 0;
StdDraw.clear(); StdDraw.setCanvasSize(800, numberOfRows*VERTICAL);
StdDraw.show(0);
StdDraw.square(.5, .5, .5);
StdDraw.setXscale(-1, N);
StdDraw.setYscale(-0.5, numberOfRows);
StdDraw.show(0);
sort(a);
StdDraw.show(0);
}
}
算法Sedgewick第四版-第1章基础-2.1Elementary Sortss-006归并排序(Mergesort)的更多相关文章
- 算法Sedgewick第四版-第1章基础-2.1Elementary Sortss-001选择排序法(Selection sort)
一.介绍 1.算法的时间和空间间复杂度 2.特点 Running time is insensitive to input. The process of finding the smallest i ...
- 算法Sedgewick第四版-第1章基础-2.1Elementary Sortss-007归并排序(自下而上)
一. 1. 2. 3. 二.代码 package algorithms.mergesort22; import algorithms.util.StdIn; import algorithms.uti ...
- 算法Sedgewick第四版-第1章基础-2.1Elementary Sortss-005插入排序的改进版
package algorithms.elementary21; import algorithms.util.StdIn; import algorithms.util.StdOut; /***** ...
- 算法Sedgewick第四版-第1章基础-2.1Elementary Sortss-004希尔排序法(Shell Sort)
一.介绍 1.希尔排序的思路:希尔排序是插入排序的改进.当输入的数据,顺序是很乱时,插入排序会产生大量的交换元素的操作,比如array[n]的最小的元素在最后,则要经过n-1次交换才能排到第一位,因为 ...
- 算法Sedgewick第四版-第1章基础-2.1Elementary Sortss-002插入排序法(Insertion sort)
一.介绍 1.时间和空间复杂度 运行过程 2.特点: (1)对于已排序或接近排好的数据,速度很快 (2)对于部分排好序的输入,速度快 二.代码 package algorithms.elementar ...
- 算法Sedgewick第四版-第1章基础-2.1Elementary Sortss-008排序算法的复杂度(比较次数的上下限)
一. 1. 2.
- 算法Sedgewick第四版-第1章基础-2.1Elementary Sortss-003比较算法及算法的可视化
一.介绍 1. 2. 二.代码 1. package algorithms.elementary21; /*********************************************** ...
- 算法Sedgewick第四版-第1章基础-001递归
一. 方法可以调用自己(如果你对递归概念感到奇怪,请完成练习 1.1.16 到练习 1.1.22).例如,下面给出了 BinarySearch 的 rank() 方法的另一种实现.我们会经常使用递归, ...
- 算法Sedgewick第四版-第1章基础-1.3Bags, Queues, and Stacks-001可变在小的
1. package algorithms.stacks13; /******************************************************************* ...
随机推荐
- LeetCode OJ:Convert Sorted Array to Binary Search Tree(将排序好的数组转换成二叉搜索树)
Given an array where elements are sorted in ascending order, convert it to a height balanced BST. 讲一 ...
- 速记JVM内存模型和垃圾回收策略
一.常用JVM参数 -Xms: 初始堆大小 -Xmx: 最大堆-Xmn: 新生代大小 -Xss: 栈容量 -PermSize: 方法区大小 -MaxPermSize: 最大方法区大小 -MaxDire ...
- Nhibernate系列学习之(二) 简单增删改查
实例中解决方案简单的创建三层架构,符合开发过程中最简单的运用: 1:首先在数据库中创建一个表T_School,脚本如下: USE [TestDb] GO /****** 对象: Table [dbo] ...
- js1
document.write('<h1>Hello World</h1>'); //写入网页 alert('Hello World'); console.log('Hello ...
- Kerberos的hive链接问题
javax.security.auth.login.LoginException: Checksum failed 之前碰到过类似的问题,都是因为服务器端的keytab问题:多半是因为重新生成了key ...
- python3 之 格式化json
import json json_string = None with open("json_file.json") as f: json_string = f.read() tr ...
- nginx与二级域名的绑定 nginx安装
nginx中文文档 http://www.nginx.cn/doc/ nginx 查看配置文件地址 http://blog.csdn.net/ljfrocky/article/details/5052 ...
- HDU2181(基础dfs)
哈密顿绕行世界问题 Time Limit: 3000/1000 MS (Java/Others) Memory Limit: 32768/32768 K (Java/Others)Total S ...
- Linux应用函数 -- 字符串
1.strchr 原型 char *strchr(const char* _Str,char _Val) 头文件 string.h 功能 查找字符串_Str中首次出现字符_Val的位置 返回值 成功 ...
- [转载]proc_mkdir与proc_create
1:创建proc文件夹struct proc_dir_entry *proc_mkdir(const char *name, struct proc_dir_entry *parent);参数1:na ...