栈的顺序/链式 存储实现(Java版)

栈的定义

栈(stack)又名堆栈,它是一种运算受限的线性表。限定仅在表尾进行插入和删除操作的线性表。这一端被称为栈顶,相对地,把另一端称为栈底。向一个栈插入新元素又称作进栈、入栈或压栈,它是把新元素放到栈顶元素的上面,使之成为新的栈顶元素;从一个栈删除元素又称作出栈或退栈,它是把栈顶元素删除掉,使其相邻的元素成为新的栈顶元素。

栈的顺序存储实现

package algorithm.datastructure.stack;

/*
* 栈
* 一种特殊的线性表—-操作受限的线性表,限于在表尾插入或删除元素的线性表
* 顺序栈
* 采用一段连续的空间存储(数组)
*
* */

public class SeqStack {
    
    
    private int []table;//数组
    private int top;//栈顶元素
    private int maxSize;//栈的容量
    private int size;//当前栈的元素个数
    private int incrementCapacity;//扩容时增长容量
    private static final int STACK_DEFAULT_INIT_SIZE=10;//初始容量
    private static final int STACK_DEFAULT_INCREMENT_SIZE=5;//扩容时默认增长容量

    //栈的初始化
    public SeqStack(){
    
    
        this.maxSize=STACK_DEFAULT_INIT_SIZE;
        this.table=new int[maxSize];
        this.top=-1;
        this.incrementCapacity=STACK_DEFAULT_INCREMENT_SIZE;
    }
    public SeqStack(int initialCapacity){
    
    
        this.maxSize=initialCapacity;
        this.table=new int[maxSize];
        this.incrementCapacity=STACK_DEFAULT_INCREMENT_SIZE;
        this.top=-1;

    }
    public SeqStack(int initialCapacity,int incrementCapacity){
    
    
        this.maxSize=initialCapacity;
        this.table=new int[maxSize];
        this.incrementCapacity=incrementCapacity;
        this.top=-1;
    }

    //判断栈是否为空
    public Boolean isEmpty(){
    
    
        return top==-1;
    }
    //判断栈是否满
    public Boolean isFull(){
    
    
        return (maxSize-1)==top;
    }

    //插入一个元素
    public void push(int x){
    
    
        if (isFull()){
    
    
            ensureCapacity();
            table[++top]=x;
            size++;
        } else {
    
    
            table[++top]=x;
            size++;
        }
    }
    //删除一个元素
    public Integer pop(){
    
    
        if (isEmpty()){
    
    
            try {
    
    
                throw new Exception("栈空");
            } catch (Exception e) {
    
    
                e.printStackTrace();
            }
        } else {
    
    
            size--;
            return table[top--];
        }
        return null;
    }
    //得到栈顶元素
    public Integer getTop(){
    
    
        if (isEmpty()){
    
    
            try {
    
    
                throw new Exception("栈空");
            } catch (Exception e) {
    
    
                e.printStackTrace();
            }
        } else {
    
    
            return table[top];
        }
        return null;
    }
    //获取当前栈中元素个数
    public int size(){
    
    
        return size;
    }

    //扩容
    private void ensureCapacity() {
    
    
        System.out.println("当前栈的容量为:"+maxSize+",容量不足,扩容");
        maxSize=maxSize+incrementCapacity;
        int []newTable=new int[maxSize];
        for (int i=0;i<table.length;i++){
    
    //将旧数组的元素移到新数组
            newTable[i]=table[i];
        }
        table=newTable;
        System.out.println("扩容成功,扩容后栈的新容量为:"+maxSize);
    }
    public static void main(String[] args) {
    
    
        //SeqStack seqStack=new SeqStack(10,2);
      //  SeqStack seqStack=new SeqStack();
        SeqStack seqStack=new SeqStack(15);
        seqStack.push(1);
        seqStack.push(2);
        seqStack.push(4);
        seqStack.push(4);
        seqStack.push(5);
        seqStack.push(1);
        seqStack.push(2);
        seqStack.push(4);
        seqStack.push(4);
        seqStack.push(5);
        seqStack.push(1);
        seqStack.push(2);
        seqStack.push(4);
        seqStack.push(4);
        seqStack.push(5);
        System.out.println(seqStack.pop());
        System.out.println(seqStack.pop());
        System.out.println(seqStack.pop());
        System.out.println(seqStack.pop());
        System.out.println(seqStack.pop());
        System.out.println(seqStack.pop());
        System.out.println(seqStack.getTop());
        System.out.println(seqStack.getTop());
        System.out.println(seqStack.getTop());
        System.out.println(seqStack.size());
    }
}

栈的链式存储实现

package algorithm.datastructure.stack;
/*
* 栈
* 一种特殊的线性表—-操作受限的线性表,限于在表尾插入或删除元素的线性表
* 链栈
* 采用非连续的空间存储
* */
public class LinkedStack {
    
    

    private Node top;//栈顶指针
    private Node bottom;//栈底指针
    private Integer size;//栈的当前大小
    private static class Node{
    
    
        int data;
        Node next;
        public Node(){
    
    
        }
        public Node(int data){
    
    
            this.data=data;
            this.next=null;
        }
        public Node(int data,Node next){
    
    
            this.data=data;
            this.next=next;
        }
    }
    public LinkedStack(){
    
    
        top=new Node();
        bottom=new Node();
        top.next=bottom;
        size=0;
    }

    public Boolean isEmpty(){
    
    
       return top.next==bottom;
    }

    //插入元素
    public void push(int x){
    
    
        top= new Node(x,top);
        size++;
    }
    //删除元素
    public Integer pop(){
    
    
        if (isEmpty()){
    
    
            try {
    
    

                throw new Exception("栈空");
            }catch (Exception e){
    
    
                e.printStackTrace();
            }
        } else {
    
    
            Node x=top;
            top=x.next;
            size--;
            return x.data;
        }
        return null;
    }
    public Integer getTop(){
    
    
        if (isEmpty()){
    
    
            try {
    
    

                throw new Exception("栈空");
            }catch (Exception e){
    
    
                e.printStackTrace();
            }
        } else {
    
    
            return top.data;
        }

        return null;

    }
    //获取当前栈中元素个数
    public int size(){
    
    
        return size;
    }
    public static void main(String[] args) {
    
    

        //测试
        LinkedStack linkedStack=new LinkedStack();
        linkedStack.push(1);
        linkedStack.push(2);
        linkedStack.push(4);
        linkedStack.push(5);
        linkedStack.push(7);
        linkedStack.push(9);
        System.out.println(linkedStack.size());
        System.out.println(linkedStack.pop());
        System.out.println(linkedStack.pop());
        System.out.println(linkedStack.getTop());
        System.out.println(linkedStack.getTop());

       // System.out.println(linkedStack.pop());
    }
}

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转载自blog.csdn.net/rj2017211811/article/details/109328728