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

  1. 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 ...

  2. 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 ...

  3. 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; /***** ...

  4. 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 ...

  5. 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 ...

  6. 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.

  7. 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; /*********************************************** ...

  8. 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, ...

  9. 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

  1. 分布式事务_02_2PC框架raincat源码解析-启动过程

    一.前言 上一节已经将raincat demo工程运行起来了,这一节来分析下raincat启动过程的源码 主要包括: 事务协调者启动过程 事务参与者启动过程 二.协调者启动过程 主要就是在启动类中通过 ...

  2. POJ--1094--Sorting It All Out||NYOJ--349--Sorting It All Out(拓扑排序)

    NYOJ的数据水一点,POJ过了是真的过了 /* 拓扑排序模板题: 每次输入都要判断有环与有序的情况,如果存在环路或者已经有序可以输出则跳过下面的输入 判断有序,通过是否在一个以上的入度为0的点,存在 ...

  3. 在Windows 7上安装ACE 6.1.0

    主机环境    操作系统:Windows 7 专业版准备ACE    用浏览器打开http://download.dre.vanderbilt.edu/,下载ACE-6.1.0和ACE-html-6. ...

  4. ZOJ - 3201 Tree of Tree (树形背包)

    题意:有一棵树,树上每个结点都有一个权值,求恰好包含k个结点的子树的最大权值. 设dp[i][j]为以结点i为根的树中包含j个结点的子树的最大权值,则可以把这个结点下的每棵子树中所包含的所有子树的大小 ...

  5. 如何重启mysql服务

    window下: 在cmd中,键入services.msc,找到mysql,右键重启mysql

  6. BZOJ3170:[TJOI2013]松鼠聚会

    题目传送门:https://lydsy.com/JudgeOnline/problem.php?id=3170 通过分析可以发现,题目所说的两点之间的距离就是切比雪夫距离. 两点之间欧几里得距离:\( ...

  7. webrtc自带client的视频引擎创建代码走读

    src\webrtc\examples\peerconnection\client\conductor.ccbool Conductor::InitializePeerConnection()1 we ...

  8. CentOS7网卡设置为桥接模式静态IP配置方法详解

    备份网络文件 [root@localhost network-scripts]# cd /etc/sysconfig/network-scripts/ [root@localhost network- ...

  9. 2017年总结&2018年计划

    谈一谈2017年计划: 1.完成壁咚项目2.写一个自己的扫描器3.完善web安全手册.4.搞一个大漏洞或CVE的漏洞 完成进度:1.壁咚这个项目,当初发誓要用java来写完,其实最开始就已经写完了,前 ...

  10. libstdc++.so.6

    libstdc++.so.6遇到的问题: 1.提示version `GLIBCXX_3.4.14' not found /usr/lib64/libstdc++.so.: version `GLIBC ...