/*------------------------------------------------------------------ 
 Defining Stack Operations using Closures in Javascript, privacy and
 state of stack operations are maintained

 @author:Arijt Basu
 Log: Sun Dec 27, 2015, 3:25PM
 ------------------------------------------------------------------- 
 */
var stackControl = true;
var stack = (function(array) {
        array = [];
        //--Define the max size of the stack
        var MAX_SIZE = 5;

        function isEmpty() {
            if (array.length < 1) console.log("Stack is empty");
        };
        isEmpty();

        return {

            push: function(ele) {
                if (array.length < MAX_SIZE) {
                    array.push(ele)
                    return array;
                } else {
                    console.log("Stack Overflow")
                }
            },
            pop: function() {
                if (array.length > 1) {
                    array.pop();
                    return array;
                } else {
                    console.log("Stack Underflow");
                }
            }

        }
    })()
    // var list = 5;
    // console.log(stack(list))
if (stackControl) {
    console.log(stack.pop());
    console.log(stack.push(3));
    console.log(stack.push(2));
    console.log(stack.pop());
    console.log(stack.push(1));
    console.log(stack.pop());
    console.log(stack.push(38));
    console.log(stack.push(22));
    console.log(stack.pop());
    console.log(stack.pop());
    console.log(stack.push(6));
    console.log(stack.pop());
}
//End of STACK Logic

/* Defining Queue operations*/

var queue = (function(array) {
    array = [];
    var reversearray;
    //--Define the max size of the stack
    var MAX_SIZE = 5;

    function isEmpty() {
        if (array.length < 1) console.log("Queue is empty");
    };
    isEmpty();

    return {
        insert: function(ele) {
            if (array.length < MAX_SIZE) {
                array.push(ele)
                reversearray = array.reverse();
                return reversearray;
            } else {
                console.log("Queue Overflow")
            }
        },
        delete: function() {
            if (array.length > 1) {
                //reversearray = array.reverse();
                array.pop();
                return array;
            } else {
                console.log("Queue Underflow");
            }
        }
    }



})()

console.log(queue.insert(5))
console.log(queue.insert(3))
console.log(queue.delete(3))

Javascript数组shift()很慢，特别是当包含很多元素时。我知道两种方法来实现平摊O(1)复杂度的队列。

首先是使用循环缓冲区和表加倍。我以前实现过这个。你可以在这里看到我的源代码 https://github.com/kevyuu/rapid-queue

第二种方法是使用两个堆栈。这是带有两个堆栈的队列的代码

function createDoubleStackQueue() {
var that = {};
var pushContainer = [];
var popContainer = [];

function moveElementToPopContainer() {
    while (pushContainer.length !==0 ) {
        var element = pushContainer.pop();
        popContainer.push(element);
    }
}

that.push = function(element) {
    pushContainer.push(element);
};

that.shift = function() {
    if (popContainer.length === 0) {
        moveElementToPopContainer();
    }
    if (popContainer.length === 0) {
        return null;
    } else {
        return popContainer.pop();
    }
};

that.front = function() {
    if (popContainer.length === 0) {
        moveElementToPopContainer();
    }
    if (popContainer.length === 0) {
        return null;
    }
    return popContainer[popContainer.length - 1];
};

that.length = function() {
    return pushContainer.length + popContainer.length;
};

that.isEmpty = function() {
    return (pushContainer.length + popContainer.length) === 0;
};

return that;}

这是使用jsPerf进行的性能比较

CircularQueue.shift() vs Array.shift()

http://jsperf.com/rapidqueue-shift-vs-array-shift

正如你所看到的，大数据集的速度要快得多

在我看来，内建数组对于堆栈来说是很好的。如果你想在TypeScript中使用Queue，这里有一个实现

/**
 * A Typescript implementation of a queue.
 */
export default class Queue {

  private queue = [];
  private offset = 0;

  constructor(array = []) {
    // Init the queue using the contents of the array
    for (const item of array) {
      this.enqueue(item);
    }
  }

  /**
   * @returns {number} the length of the queue.
   */
  public getLength(): number {
    return (this.queue.length - this.offset);
  }

  /**
   * @returns {boolean} true if the queue is empty, and false otherwise.
   */
  public isEmpty(): boolean {
    return (this.queue.length === 0);
  }

  /**
   * Enqueues the specified item.
   *
   * @param item - the item to enqueue
   */
  public enqueue(item) {
    this.queue.push(item);
  }

  /**
   *  Dequeues an item and returns it. If the queue is empty, the value
   * {@code null} is returned.
   *
   * @returns {any}
   */
  public dequeue(): any {
    // if the queue is empty, return immediately
    if (this.queue.length === 0) {
      return null;
    }

    // store the item at the front of the queue
    const item = this.queue[this.offset];

    // increment the offset and remove the free space if necessary
    if (++this.offset * 2 >= this.queue.length) {
      this.queue = this.queue.slice(this.offset);
      this.offset = 0;
    }

    // return the dequeued item
    return item;
  };

  /**
   * Returns the item at the front of the queue (without dequeuing it).
   * If the queue is empty then {@code null} is returned.
   *
   * @returns {any}
   */
  public peek(): any {
    return (this.queue.length > 0 ? this.queue[this.offset] : null);
  }

}

这里有一个笑话测试

it('Queue', () => {
  const queue = new Queue();
  expect(queue.getLength()).toBe(0);
  expect(queue.peek()).toBeNull();
  expect(queue.dequeue()).toBeNull();

  queue.enqueue(1);
  expect(queue.getLength()).toBe(1);
  queue.enqueue(2);
  expect(queue.getLength()).toBe(2);
  queue.enqueue(3);
  expect(queue.getLength()).toBe(3);

  expect(queue.peek()).toBe(1);
  expect(queue.getLength()).toBe(3);
  expect(queue.dequeue()).toBe(1);
  expect(queue.getLength()).toBe(2);

  expect(queue.peek()).toBe(2);
  expect(queue.getLength()).toBe(2);
  expect(queue.dequeue()).toBe(2);
  expect(queue.getLength()).toBe(1);

  expect(queue.peek()).toBe(3);
  expect(queue.getLength()).toBe(1);
  expect(queue.dequeue()).toBe(3);
  expect(queue.getLength()).toBe(0);

  expect(queue.peek()).toBeNull();
  expect(queue.dequeue()).toBeNull();
});

希望有人觉得这有用，

欢呼,

Stu

如果你想创建自己的数据结构，你可以创建自己的:

var Stack = function(){
  this.top = null;
  this.size = 0;
};

var Node = function(data){
  this.data = data;
  this.previous = null;
};

Stack.prototype.push = function(data) {
  var node = new Node(data);

  node.previous = this.top;
  this.top = node;
  this.size += 1;
  return this.top;
};

Stack.prototype.pop = function() {
  temp = this.top;
  this.top = this.top.previous;
  this.size -= 1;
  return temp;
};

对于队列:

var Queue = function() {
  this.first = null;
  this.size = 0;
};

var Node = function(data) {
  this.data = data;
  this.next = null;
};

Queue.prototype.enqueue = function(data) {
  var node = new Node(data);

  if (!this.first){
    this.first = node;
  } else {
    n = this.first;
    while (n.next) {
      n = n.next;
    }
    n.next = node;
  }

  this.size += 1;
  return node;
};

Queue.prototype.dequeue = function() {
  temp = this.first;
  this.first = this.first.next;
  this.size -= 1;
  return temp;
};

下面是我使用链表实现的堆栈和队列:

// Linked List function Node(data) { this.data = data; this.next = null; } // Stack implemented using LinkedList function Stack() { this.top = null; } Stack.prototype.push = function(data) { var newNode = new Node(data); newNode.next = this.top; //Special attention this.top = newNode; } Stack.prototype.pop = function() { if (this.top !== null) { var topItem = this.top.data; this.top = this.top.next; return topItem; } return null; } Stack.prototype.print = function() { var curr = this.top; while (curr) { console.log(curr.data); curr = curr.next; } } // var stack = new Stack(); // stack.push(3); // stack.push(5); // stack.push(7); // stack.print(); // Queue implemented using LinkedList function Queue() { this.head = null; this.tail = null; } Queue.prototype.enqueue = function(data) { var newNode = new Node(data); if (this.head === null) { this.head = newNode; this.tail = newNode; } else { this.tail.next = newNode; this.tail = newNode; } } Queue.prototype.dequeue = function() { var newNode; if (this.head !== null) { newNode = this.head.data; this.head = this.head.next; } return newNode; } Queue.prototype.print = function() { var curr = this.head; while (curr) { console.log(curr.data); curr = curr.next; } } var queue = new Queue(); queue.enqueue(3); queue.enqueue(5); queue.enqueue(7); queue.print(); queue.dequeue(); queue.dequeue(); queue.print();

如果你理解栈的push()和pop()函数，那么queue只是在相反的意义上进行这些操作之一。push()的对边是unshift()， pop()的对边是shift()。 然后:

//classic stack
var stack = [];
stack.push("first"); // push inserts at the end
stack.push("second");
stack.push("last");
stack.pop(); //pop takes the "last" element

//One way to implement queue is to insert elements in the oposite sense than a stack
var queue = [];
queue.unshift("first"); //unshift inserts at the beginning
queue.unshift("second");
queue.unshift("last");
queue.pop(); //"first"

//other way to do queues is to take the elements in the oposite sense than stack
var queue = [];
queue.push("first"); //push, as in the stack inserts at the end
queue.push("second");
queue.push("last");
queue.shift(); //but shift takes the "first" element