use*_*820 10 java sorting algorithm mergesort linked-list
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++;
}
}
}
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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.
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.尽管如此,你还是会喜欢你这样做碰到麻烦做迭代(不使用,而是使用一个差随机访问特性).Iterator
get
List
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();
}
}
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javac MergeSort.java
java MergeSort
javadoc -private MergeSort.java
以创建文档.打开它创建的index.html文件.这取决于它DoublyLinkedList
是什么 - 它是一个具体的用户定义类型,还是只是一个链表类型的别名?
在第一种情况下,您应该在其中定义索引的 get/set 方法和/或迭代器,这使得任务变得简单。
在后一种情况下,为什么不使用该标准java.util.LinkedList
?
从接口上来说List
,操作可以这样实现:
<T> List<T> merge(List<T> first, List<T> second, List<T> merged) {
if (first.isEmpty())
merged.adAll(second);
else if (second.isEmpty())
merged.adAll(first);
else {
Iterator<T> firstIter = first.iterator();
Iterator<T> secondIter = second.iterator();
T firstElem = firstIter.next();
T secondElem = secondIter.next();
do {
if (firstElem < secondElem) {
merged.add(firstElem);
firstElem = firstIter.hasNext() ? firstIter.next() : null;
} else {
merged.add(secondElem);
secondElem = secondIter.hasNext() ? secondIter.next() : null;
}
} while (firstIter.hasNext() && secondIter.hasNext());
//copy remaining elements to the tail of merged
if (firstElem != null)
merged.add(firstElem);
if (secondElem != null)
merged.add(secondElem);
while (firstIter.hasNext()) {
merged.add(firstIter.next());
}
while (secondIter.hasNext()) {
merged.add(secondIter.next());
}
}
}
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这种实现比数组更乏味,主要是因为迭代器被操作“消耗” next
,所以必须记录每个列表中的当前项。使用get
,代码会更简单,与数组解决方案非常相似,但是对于大列表来说,速度会慢得多,正如 @sepp2k 指出的那样。
还有一些注意事项:
localDoublyLinkedList