手写数据结构-基于链表的队列
1.基于链表的队列基础
结构特性:先进先出
实现原理:采用双指针,多维护一个指针指向队尾,向尾部进行添加操作时间复杂度会变为O(1)。
2.手写基于链表的队列及复杂度分析(和基于动态数组的循环队列对比)
package com.tc.javabase.datastructure.linklist.queue;
import com.tc.javabase.datastructure.queue.Queue;
/**
* @Classname LinkedListQueue
* @Description 基于链表实现的队列
*
* 采用头指针和尾指针的方式实现基于链表实现的队列
*
* 时间复杂度分析:
* * 入队:O(1)
* * 出队:O(1)
* * 查询队首元素:O(1)
*
*
* @Date 2020/7/18 18:42
* @Created by zhangtianci
*/
public class LinkedListQueue<E> implements Queue<E> {
private class Node{
public E e;
public Node next;
public Node(E e, Node next) {
this.e = e;
this.next = next;
}
public Node(E e){
this(e,null);
}
public Node(){
this(null,null);
}
}
private Node head,tail;
private int size;
@Override
public int getSize() {
return size;
}
@Override
public boolean isEmpty() {
return size == 0 ? true : false;
}
/**
* 入队
*
* 时间复杂度:O(1)
* @param e
*/
@Override
public void enqueue(E e) {
if (tail == null){
tail = new Node(e);
head = tail;
}else {
tail.next = new Node(e);
tail = tail.next;
}
size++;
}
/**
* 出队
* 时间复杂度:O(1)
* @return
*/
@Override
public E dequeue() {
if (isEmpty()){
throw new IllegalArgumentException("队列为空!");
}
Node retn = head;
head = head.next;
retn.next = null;
if (head == null){
tail = null;
}
size--;
return retn.e;
}
/**
* 查看队首元素
* 时间复杂度:O(1)
* @return
*/
@Override
public E getFront() {
if (isEmpty()){
throw new IllegalArgumentException("队列为空!");
}
return head.e;
}
@Override
public String toString() {
StringBuilder builder = new StringBuilder();
builder.append("Queue head");
Node curr = head;
while (curr != null){
builder.append(curr.e);
builder.append("->");
curr = curr.next;
}
builder.append("NULL tail");
return builder.toString();
}
public static void main(String[] args) {
LinkedListQueue<Integer> queue = new LinkedListQueue<>();
for(int i = 0 ; i < 10 ; i ++){
queue.enqueue(i);
System.out.println(queue);
if(i % 3 == 2){
queue.dequeue();
System.out.println(queue);
}
}
}
}