java – 使用合并排序对双向链表进行排序
内容导读
互联网集市收集整理的这篇技术教程文章主要介绍了java – 使用合并排序对双向链表进行排序,小编现在分享给大家,供广大互联网技能从业者学习和参考。文章包含4776字,纯文字阅读大概需要7分钟。
内容图文
我在互联网上找到了这个代码,它是用于数组,我想改为双链表(而不是索引我们应该使用指针)请你帮我,我怎么能改变合并方法(我改变了排序方法)我自己)这也不是我的家庭工作,我喜欢使用链表!
public class MergeSort {
private DoublyLinkedList LocalDoublyLinkedList;
public MergeSort(DoublyLinkedList list) {
LocalDoublyLinkedList = list;
}
public void sort() {
if (LocalDoublyLinkedList.size() <= 1) {
return;
}
DoublyLinkedList listOne = new DoublyLinkedList();
DoublyLinkedList listTwo = new DoublyLinkedList();
for (int x = 0; x < (LocalDoublyLinkedList.size() / 2); x++) {
listOne.add(x, LocalDoublyLinkedList.getValue(x));
}
for (int x = (LocalDoublyLinkedList.size() / 2) + 1; x < LocalDoublyLinkedList.size`(); x++) {`
listTwo.add(x, LocalDoublyLinkedList.getValue(x));
}
//Split the DoublyLinkedList again
MergeSort sort1 = new MergeSort(listOne);
MergeSort sort2 = new MergeSort(listTwo);
sort1.sort();
sort2.sort();
merge(listOne, listTwo);
}
private void merge(DoublyLinkedList a, DoublyLinkedList b) {
int x = 0;
int y = 0;
int z = 0;
while (x < first.length && y < second.length) {
if (first[x] < second[y]) {
a[z] = first[x];
x++;
} else {
a[z] = second[y];
y++;
}
z++;
}
//copy remaining elements to the tail of a[];
for (int i = x; i < first.length; i++) {
a[z] = first[i];
z++;
}
for (int i = y; i < second.length; i++) {
a[z] = second[i];
z++;
}
}
}
解决方法:
合并排序需要经常拆分列表.不是迭代到LinkedList的中间几乎是你可以执行的最昂贵的操作(好吧,没有排序)?我可以看到合并步骤工作得很好(你在两个链接列表上向前迭代),但是我不确定如果没有O(1)拆分操作,这个实现是值得的.
跟进
正如我所指出的,当你在合并阶段已经做了O(n)事情时,O(n)拆分操作并没有真正增加复杂性.然而,你仍然会像你正在做的那样在迭代中遇到麻烦(不是使用Iterator而是使用具有较差随机访问特性的List的get).
我在调试其他问题时感到无聊,所以写了我认为是这个算法的一个不错的Java实现.我按照维基百科的伪代码逐字记录,并在一些泛型和印刷语句中加入.如果您有任何问题或疑虑,请询问.
import java.util.List;
import java.util.LinkedList;
/**
* This class implements the mergesort operation, trying to stay
* as close as possible to the implementation described on the
* Wikipedia page for the algorithm. It is meant to work well
* even on lists with non-constant random-access performance (i.e.
* LinkedList), but assumes that {@code size()} and {@code get(0)}
* are both constant-time.
*
* @author jasonmp85
* @see <a href="http://en.wikipedia.org/wiki/Merge_sort">Merge sort</a>
*/
public class MergeSort {
/**
* Keeps track of the call depth for printing purposes
*/
private static int depth = 0;
/**
* Creates a list of 10 random Longs and sorts it
* using {@link #sort(List)}.
*
* Prints out the original list and the result.
*
*/
public static void main(String[] args) {
LinkedList<Long> list = new LinkedList<Long>();
for(int i = 0; i < 10; i++) {
list.add((long)(Math.random() * 100));
}
System.out.println("ORIGINAL LIST\n" +
"=================\n" +
list + "\n");
List<Long> sorted = sort(list);
System.out.println("\nFINAL LIST\n" +
"=================\n" +
sorted + "\n");
}
/**
* Performs a merge sort of the items in {@code list} and returns a
* new List.
*
* Does not make any calls to {@code List.get()} or {@code List.set()}.
*
* Prints out the steps, indented based on call depth.
*
* @param list the list to sort
*/
public static <T extends Comparable<T>> List<T> sort(List<T> list) {
depth++;
String tabs = getTabs();
System.out.println(tabs + "Sorting: " + list);
if(list.size() <= 1) {
depth--;
return list;
}
List<T> left = new LinkedList<T>();
List<T> right = new LinkedList<T>();
List<T> result = new LinkedList<T>();
int middle = list.size() / 2;
int added = 0;
for(T item: list) {
if(added++ < middle)
left.add(item);
else
right.add(item);
}
left = sort(left);
right = sort(right);
result = merge(left, right);
System.out.println(tabs + "Sorted to: " + result);
depth--;
return result;
}
/**
* Performs the oh-so-important merge step. Merges {@code left}
* and {@code right} into a new list, which is returned.
*
* @param left the left list
* @param right the right list
* @return a sorted version of the two lists' items
*/
private static <T extends Comparable<T>> List<T> merge(List<T> left,
List<T> right) {
String tabs = getTabs();
System.out.println(tabs + "Merging: " + left + " & " + right);
List<T> result = new LinkedList<T>();
while(left.size() > 0 && right.size() > 0) {
if(left.get(0).compareTo(right.get(0)) < 0)
result.add(left.remove(0));
else
result.add(right.remove(0));
}
if(left.size() > 0)
result.addAll(left);
else
result.addAll(right);
return result;
}
/**
* Returns a number of tabs based on the current call depth.
*
*/
private static String getTabs() {
StringBuffer sb = new StringBuffer("");
for(int i = 0; i < depth; i++)
sb.append('\t');
return sb.toString();
}
}
跑步
>将代码保存到名为的文件中
MergeSort.java
>运行javac MergeSort.java
>运行java MergeSort
>奇迹
>(可选)运行javadoc -private MergeSort.java以创建文档.打开它创建的index.html文件.
内容总结
以上是互联网集市为您收集整理的java – 使用合并排序对双向链表进行排序全部内容,希望文章能够帮你解决java – 使用合并排序对双向链表进行排序所遇到的程序开发问题。 如果觉得互联网集市技术教程内容还不错,欢迎将互联网集市网站推荐给程序员好友。
内容备注
版权声明:本文内容由互联网用户自发贡献,该文观点与技术仅代表作者本人。本站仅提供信息存储空间服务,不拥有所有权,不承担相关法律责任。如发现本站有涉嫌侵权/违法违规的内容, 请发送邮件至 gblab@vip.qq.com 举报,一经查实,本站将立刻删除。
内容手机端
扫描二维码推送至手机访问。