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();
其他回答
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();
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; };
数组。
栈:
var stack = [];
//put value on top of stack
stack.push(1);
//remove value from top of stack
var value = stack.pop();
队列:
var queue = [];
//put value on end of queue
queue.push(1);
//Take first value from queue
var value = queue.shift();
var stack = [];
stack.push(2); // stack is now [2]
stack.push(5); // stack is now [2, 5]
var i = stack.pop(); // stack is now [2]
alert(i); // displays 5
var queue = [];
queue.push(2); // queue is now [2]
queue.push(5); // queue is now [2, 5]
var i = queue.shift(); // queue is now [5]
alert(i); // displays 2
摘自“9个你可能不知道的JavaScript技巧”
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