在JavaScript中实现堆栈和队列的最佳方法是什么?
我想做调车场算法我需要这些数据结构。
在JavaScript中实现堆栈和队列的最佳方法是什么?
我想做调车场算法我需要这些数据结构。
当前回答
下面是一个相当简单的队列实现,有两个目标:
与array.shift()不同,您知道这个出队列方法需要常数时间(O(1))。 为了提高速度,这种方法使用的分配比链表方法少得多。
堆栈实现只共享第二个目标。
// Queue
function Queue() {
this.q = new Array(5);
this.first = 0;
this.size = 0;
}
Queue.prototype.enqueue = function(a) {
var other;
if (this.size == this.q.length) {
other = new Array(this.size*2);
for (var i = 0; i < this.size; i++) {
other[i] = this.q[(this.first+i)%this.size];
}
this.first = 0;
this.q = other;
}
this.q[(this.first+this.size)%this.q.length] = a;
this.size++;
};
Queue.prototype.dequeue = function() {
if (this.size == 0) return undefined;
this.size--;
var ret = this.q[this.first];
this.first = (this.first+1)%this.q.length;
return ret;
};
Queue.prototype.peek = function() { return this.size > 0 ? this.q[this.first] : undefined; };
Queue.prototype.isEmpty = function() { return this.size == 0; };
// Stack
function Stack() {
this.s = new Array(5);
this.size = 0;
}
Stack.prototype.push = function(a) {
var other;
if (this.size == this.s.length) {
other = new Array(this.s.length*2);
for (var i = 0; i < this.s.length; i++) other[i] = this.s[i];
this.s = other;
}
this.s[this.size++] = a;
};
Stack.prototype.pop = function() {
if (this.size == 0) return undefined;
return this.s[--this.size];
};
Stack.prototype.peek = function() { return this.size > 0 ? this.s[this.size-1] : undefined; };
其他回答
你可以基于这个概念使用你自己的自定义类,这里是你可以用来做这些事情的代码片段
/*
* Stack implementation in JavaScript
*/
function Stack() {
this.top = null;
this.count = 0;
this.getCount = function() {
return this.count;
}
this.getTop = function() {
return this.top;
}
this.push = function(data) {
var node = {
data: data,
next: null
}
node.next = this.top;
this.top = node;
this.count++;
}
this.peek = function() {
if (this.top === null) {
return null;
} else {
return this.top.data;
}
}
this.pop = function() {
if (this.top === null) {
return null;
} else {
var out = this.top;
this.top = this.top.next;
if (this.count > 0) {
this.count--;
}
return out.data;
}
}
this.displayAll = function() {
if (this.top === null) {
return null;
} else {
var arr = new Array();
var current = this.top;
//console.log(current);
for (var i = 0; i < this.count; i++) {
arr[i] = current.data;
current = current.next;
}
return arr;
}
}
}
要检查这一点,请使用控制台,并逐一尝试这些行。
>> var st = new Stack();
>> st.push("BP");
>> st.push("NK");
>> st.getTop();
>> st.getCount();
>> st.displayAll();
>> st.pop();
>> st.displayAll();
>> st.getTop();
>> st.peek();
Javascript中的常规数组结构是一个堆栈(先入后出),也可以用作队列(先入先出),这取决于你所做的调用。
检查这个链接,看看如何让一个数组像一个队列:
队列
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();
正如其他答案中解释的那样,堆栈实现是微不足道的。
然而,我在这个线程中没有找到任何满意的答案,所以我自己做了一个队列。
在这个线程中有三种类型的解决方案:
数组——在大型数组上使用array.shift()是最糟糕的解决方案,效率非常低。 链表——它是O(1),但是为每个元素使用一个对象有点过分,特别是如果它们很多而且它们很小,比如存储数字。 延迟移位数组——它包括将索引与数组关联。当一个元素退出队列时,索引向前移动。当索引到达数组的中间时,数组被切成两半以删除前一半。
在我看来,延迟移位数组是最令人满意的解决方案,但它们仍然将所有内容存储在一个大的连续数组中,这可能会有问题,并且当数组被切片时,应用程序将错开。
我使用小数组的链表(每个最多1000个元素)实现。这些数组的行为类似于延迟移位数组,只是它们从未被切片:当数组中的每个元素都被移除时,该数组将被简单地丢弃。
这个包在npm上,具有基本的FIFO功能,我最近刚刚推送了它。代码分为两部分。
这是第一部分
/** Queue contains a linked list of Subqueue */
class Subqueue <T> {
public full() {
return this.array.length >= 1000;
}
public get size() {
return this.array.length - this.index;
}
public peek(): T {
return this.array[this.index];
}
public last(): T {
return this.array[this.array.length-1];
}
public dequeue(): T {
return this.array[this.index++];
}
public enqueue(elem: T) {
this.array.push(elem);
}
private index: number = 0;
private array: T [] = [];
public next: Subqueue<T> = null;
}
这里是Queue的主类:
class Queue<T> {
get length() {
return this._size;
}
public push(...elems: T[]) {
for (let elem of elems) {
if (this.bottom.full()) {
this.bottom = this.bottom.next = new Subqueue<T>();
}
this.bottom.enqueue(elem);
}
this._size += elems.length;
}
public shift(): T {
if (this._size === 0) {
return undefined;
}
const val = this.top.dequeue();
this._size--;
if (this._size > 0 && this.top.size === 0 && this.top.full()) {
// Discard current subqueue and point top to the one after
this.top = this.top.next;
}
return val;
}
public peek(): T {
return this.top.peek();
}
public last(): T {
return this.bottom.last();
}
public clear() {
this.bottom = this.top = new Subqueue();
this._size = 0;
}
private top: Subqueue<T> = new Subqueue();
private bottom: Subqueue<T> = this.top;
private _size: number = 0;
}
类型注释(:X)可以很容易地删除,以获得ES6 javascript代码。
/*------------------------------------------------------------------
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))