search
HomeWeb Front-endJS TutorialJavaScript program to insert nodes into linked list

在链表中插入节点的 JavaScript 程序

A linked list is a data structure with different lengths, and any node can be deleted or added to the linked list. In this tutorial, we will implement a complete program for inserting nodes in a linked list with space and time complexity. Let us first understand the problem statement.

Problem Introduction

In the given problem, we are given a linked list and since we can change the size of the linked list by adding or removing nodes in the linked list, we will add or insert nodes in the linked list.

In a linked list, we can add new nodes at three different locations: the front node, after the last node, and in the middle of the linked list. For example, the given linked list is -

1 -> 2 -> 3 -> 4 -> 5 -> null, we have to add a random node with value 9. Therefore, there are many situations where nodes need to be added, such as -

  • Add node at the beginning - 7 -> 1 -> 2 -> 3 -> 4 -> 5 -> null

  • Add node in the middle - 1 -> 2 -> 3 -> 7 -> 4 -> 5 -> null

  • Add node at the end - 1 -> 2 -> 3 -> 4 -> 5 -> 7 -> null

Let’s look at ways to achieve the following tasks -

Add node at the beginning of the linked list

Example

To add a node at the beginning of the linked list, we must create a new node and pass the head of the linked list to the new node as the next node, then move the head to the new node and add the new node node to the beginning of the linked list.

// creating the linked list node
class Node {
   constructor(data) {
      this.value = data;
      this.next = null;
   }
}
function push(tail, data){
   var new_node = new Node(data);
   tail.next = new_node;
   tail = tail.next;
   return tail
}
function add(data) {
   var new_node = new Node(data);
   new_node.next = head;
   return new_node;
}

var head = new Node(1);
var tail = head;
tail = push(tail, 2)
tail = push(tail, 3)
tail = push(tail, 4)
tail = push(tail, 5)

head = add(7);
var data = 0;
while(head != null) {
   data = data + head.value + " -> ";
   head = head.next;
}
console.log("Linked List after adding a node at starting: ")
console.log(data + "null")

The time complexity of the above code is O(1), because we only need to move a pointer, and no additional space is used, making the space complexity O(1).

Add node in the middle of the linked list

Example

To add a node in the middle of a linked list, we have to create a new node and pass that node before we can add the new node of the linked list as the next node of the new node, which will add the new node node to the linked list in the middle.

// creating the linked list node
class Node {
   constructor(data) {
      this.value = data;
      this.next = null;
   }
}
function push(tail, data) {
   var new_node = new Node(data);
   tail.next = new_node;
   tail = tail.next;
   return tail
}
function add(data,head) {
   var new_node = new Node(data);
   var temp = head;
   while(temp.value != 3) {
      temp  = temp.next;
   }
   new_node.next = temp.next;
   temp.next = new_node;
   return head;
}
var head = new Node(1);
var tail = head;
tail = push(tail, 2)
tail = push(tail, 3)
tail = push(tail, 4)
tail = push(tail, 5)
head = add(7,head);
var data = 0;
while(head != null) {
   data = data + head.value + " -> ";
   head = head.next;
}
console.log("Linked List after adding node in middle:")
console.log(data + "null")

The time complexity of the above code is O(N) because we have to move to the node where a new node needs to be added. The space complexity of the above process is O(1) since we are not using any extra space.

Add node at the end of the linked list

Example

To add a node at the end of the linked list, we must create a new node and add the node after the tail node and move the tail node to the next node.

// creating the linked list node
class Node {
   constructor(data) {
      this.value = data;
      this.next = null;
   }
}
function push(tail, data) {
   var new_node = new Node(data);
   tail.next = new_node;
   tail = tail.next;
   return tail
   }

function add(data) {
   var new_node = new Node(data);
   tail.next = new_node;
   tail = tail.next
   return tail;
}
var head = new Node(1);
var tail = head;
tail = push(tail, 2)
tail = push(tail, 3)
tail = push(tail, 4)
tail = push(tail, 5)

tail = add(7);
var data = 0;
while(head != null){
   data = data + head.value + " -> ";
   head = head.next;
}
console.log("Linked List after adding a node at the end: ")
console.log(data + "null")

The time complexity of the above code is O(1), because we only need to move a pointer, and no additional space is used, making the space complexity O(1).

in conclusion

In the above tutorial, we learned how to add a new node to an existing linked list in three possible ways. We've seen correct code with explanations and time and space complexities. Adding a node in the middle of the linked list takes O(N) time, while for the other two cases its time complexity is O(1), and for all three possibilities the space complexity is O(1).

The above is the detailed content of JavaScript program to insert nodes into linked list. For more information, please follow other related articles on the PHP Chinese website!

Statement
This article is reproduced at:tutorialspoint. If there is any infringement, please contact admin@php.cn delete
From Websites to Apps: The Diverse Applications of JavaScriptFrom Websites to Apps: The Diverse Applications of JavaScriptApr 22, 2025 am 12:02 AM

JavaScript is widely used in websites, mobile applications, desktop applications and server-side programming. 1) In website development, JavaScript operates DOM together with HTML and CSS to achieve dynamic effects and supports frameworks such as jQuery and React. 2) Through ReactNative and Ionic, JavaScript is used to develop cross-platform mobile applications. 3) The Electron framework enables JavaScript to build desktop applications. 4) Node.js allows JavaScript to run on the server side and supports high concurrent requests.

Python vs. JavaScript: Use Cases and Applications ComparedPython vs. JavaScript: Use Cases and Applications ComparedApr 21, 2025 am 12:01 AM

Python is more suitable for data science and automation, while JavaScript is more suitable for front-end and full-stack development. 1. Python performs well in data science and machine learning, using libraries such as NumPy and Pandas for data processing and modeling. 2. Python is concise and efficient in automation and scripting. 3. JavaScript is indispensable in front-end development and is used to build dynamic web pages and single-page applications. 4. JavaScript plays a role in back-end development through Node.js and supports full-stack development.

The Role of C/C   in JavaScript Interpreters and CompilersThe Role of C/C in JavaScript Interpreters and CompilersApr 20, 2025 am 12:01 AM

C and C play a vital role in the JavaScript engine, mainly used to implement interpreters and JIT compilers. 1) C is used to parse JavaScript source code and generate an abstract syntax tree. 2) C is responsible for generating and executing bytecode. 3) C implements the JIT compiler, optimizes and compiles hot-spot code at runtime, and significantly improves the execution efficiency of JavaScript.

JavaScript in Action: Real-World Examples and ProjectsJavaScript in Action: Real-World Examples and ProjectsApr 19, 2025 am 12:13 AM

JavaScript's application in the real world includes front-end and back-end development. 1) Display front-end applications by building a TODO list application, involving DOM operations and event processing. 2) Build RESTfulAPI through Node.js and Express to demonstrate back-end applications.

JavaScript and the Web: Core Functionality and Use CasesJavaScript and the Web: Core Functionality and Use CasesApr 18, 2025 am 12:19 AM

The main uses of JavaScript in web development include client interaction, form verification and asynchronous communication. 1) Dynamic content update and user interaction through DOM operations; 2) Client verification is carried out before the user submits data to improve the user experience; 3) Refreshless communication with the server is achieved through AJAX technology.

Understanding the JavaScript Engine: Implementation DetailsUnderstanding the JavaScript Engine: Implementation DetailsApr 17, 2025 am 12:05 AM

Understanding how JavaScript engine works internally is important to developers because it helps write more efficient code and understand performance bottlenecks and optimization strategies. 1) The engine's workflow includes three stages: parsing, compiling and execution; 2) During the execution process, the engine will perform dynamic optimization, such as inline cache and hidden classes; 3) Best practices include avoiding global variables, optimizing loops, using const and lets, and avoiding excessive use of closures.

Python vs. JavaScript: The Learning Curve and Ease of UsePython vs. JavaScript: The Learning Curve and Ease of UseApr 16, 2025 am 12:12 AM

Python is more suitable for beginners, with a smooth learning curve and concise syntax; JavaScript is suitable for front-end development, with a steep learning curve and flexible syntax. 1. Python syntax is intuitive and suitable for data science and back-end development. 2. JavaScript is flexible and widely used in front-end and server-side programming.

Python vs. JavaScript: Community, Libraries, and ResourcesPython vs. JavaScript: Community, Libraries, and ResourcesApr 15, 2025 am 12:16 AM

Python and JavaScript have their own advantages and disadvantages in terms of community, libraries and resources. 1) The Python community is friendly and suitable for beginners, but the front-end development resources are not as rich as JavaScript. 2) Python is powerful in data science and machine learning libraries, while JavaScript is better in front-end development libraries and frameworks. 3) Both have rich learning resources, but Python is suitable for starting with official documents, while JavaScript is better with MDNWebDocs. The choice should be based on project needs and personal interests.

See all articles

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

Video Face Swap

Video Face Swap

Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Tools

MantisBT

MantisBT

Mantis is an easy-to-deploy web-based defect tracking tool designed to aid in product defect tracking. It requires PHP, MySQL and a web server. Check out our demo and hosting services.

mPDF

mPDF

mPDF is a PHP library that can generate PDF files from UTF-8 encoded HTML. The original author, Ian Back, wrote mPDF to output PDF files "on the fly" from his website and handle different languages. It is slower than original scripts like HTML2FPDF and produces larger files when using Unicode fonts, but supports CSS styles etc. and has a lot of enhancements. Supports almost all languages, including RTL (Arabic and Hebrew) and CJK (Chinese, Japanese and Korean). Supports nested block-level elements (such as P, DIV),

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools

DVWA

DVWA

Damn Vulnerable Web App (DVWA) is a PHP/MySQL web application that is very vulnerable. Its main goals are to be an aid for security professionals to test their skills and tools in a legal environment, to help web developers better understand the process of securing web applications, and to help teachers/students teach/learn in a classroom environment Web application security. The goal of DVWA is to practice some of the most common web vulnerabilities through a simple and straightforward interface, with varying degrees of difficulty. Please note that this software

ZendStudio 13.5.1 Mac

ZendStudio 13.5.1 Mac

Powerful PHP integrated development environment