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
数组是Javascript中的堆栈。只需使用arr.push(x)和y = arr.pop()。
下面是用Javascript实现队列的最简单方法,对于enqueue(x)和y = dequeue(),它的平摊时间都是O(1)。它使用从插入索引到元素的映射。
function newQueue() {
return {
headIdx: 0,
tailIdx: 0,
elts: {},
enqueue: (elt) => queue.elts[queue.tailIdx++] = elt,
dequeue: () => {
if (queue.headIdx == queue.tailIdx) {
throw new Error("Queue is empty");
}
return queue.elts[queue.headIdx++];
},
size: () => queue.tailIdx - queue.headIdx,
isEmpty: () => queue.tailIdx == queue.headIdx
};
}
使用链表实现的队列比这种基于映射的方法更有效,使用循环缓冲区实现的队列比这种基于映射的方法更有效,但这两种数据结构的实现更复杂(特别是循环缓冲区数据结构)。
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;
};
如果你正在寻找带有一些基本操作(基于链表)的堆栈和队列数据结构的ES6 OOP实现,那么它可能是这样的:
Queue.js
import LinkedList from '../linked-list/LinkedList';
export default class Queue {
constructor() {
this.linkedList = new LinkedList();
}
isEmpty() {
return !this.linkedList.tail;
}
peek() {
if (!this.linkedList.head) {
return null;
}
return this.linkedList.head.value;
}
enqueue(value) {
this.linkedList.append(value);
}
dequeue() {
const removedHead = this.linkedList.deleteHead();
return removedHead ? removedHead.value : null;
}
toString(callback) {
return this.linkedList.toString(callback);
}
}
Stack.js
import LinkedList from '../linked-list/LinkedList';
export default class Stack {
constructor() {
this.linkedList = new LinkedList();
}
/**
* @return {boolean}
*/
isEmpty() {
return !this.linkedList.tail;
}
/**
* @return {*}
*/
peek() {
if (!this.linkedList.tail) {
return null;
}
return this.linkedList.tail.value;
}
/**
* @param {*} value
*/
push(value) {
this.linkedList.append(value);
}
/**
* @return {*}
*/
pop() {
const removedTail = this.linkedList.deleteTail();
return removedTail ? removedTail.value : null;
}
/**
* @return {*[]}
*/
toArray() {
return this.linkedList
.toArray()
.map(linkedListNode => linkedListNode.value)
.reverse();
}
/**
* @param {function} [callback]
* @return {string}
*/
toString(callback) {
return this.linkedList.toString(callback);
}
}
上面例子中用于堆栈和队列的LinkedList实现可以在GitHub上找到。
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();
这是我的实现堆栈。
function Stack() {
this.dataStore = [];
this.top = 0;
this.push = push;
this.pop = pop;
this.peek = peek;
this.clear = clear;
this.length = length;
}
function push(element) {
this.dataStore[this.top++] = element;
}
function peek() {
return this.dataStore[this.top-1];
}
function pop() {
return this.dataStore[--this.top];
}
function clear() {
this.top = 0;
}
function length() {
return this.top;
}
var s = new Stack();
s.push("David");
s.push("Raymond");
s.push("Bryan");
console.log("length: " + s.length());
console.log(s.peek());