Home WeChat Applet Mini Program Development Sharing examples of JavaScript data structures singly linked list and circular linked list

Sharing examples of JavaScript data structures singly linked list and circular linked list

Jan 05, 2018 pm 01:46 PM
javascript js data structure

This article mainly introduces the JavaScript data structures of singly linked lists and circular linked lists, and introduces in detail how JavaScript implements singly linked lists and circular linked lists. If you are interested, you can learn more. I hope it can help everyone.

Getting to the point, here is a brief introduction to the data structure knowledge of linked lists:

The linked list is a non-linear and non-continuous data structure in physical storage units (it is in the data logic is linear), each of its nodes consists of two domains: data domain and pointer domain. The actual data is stored in the data field, and the pointer field stores pointer information, pointing to the next element or the previous element in the linked list. It is precisely because of the existence of pointers that the storage of linked lists is discontinuous in physical units.

The advantages and disadvantages of linked lists are equally obvious. Compared with linear lists, linked lists are more efficient in adding and deleting nodes, because they only need to modify pointer information to complete the operation, unlike linear lists (arrays) that require moving elements. Similarly, the length of a linked list is theoretically infinite (within the memory capacity), and the length can be changed dynamically, which has great advantages over linear lists. Correspondingly, since linear tables cannot randomly access nodes and can only be accessed through pointer traversal queries along the linked list, the efficiency of accessing data elements is relatively low.

The following is the JS part

The common methods and descriptions encapsulated here:

##size() Get the length of the linked listtoString() Convert to string outputgetHead()Get the head nodegetTail() Get the tail node
Methods Description
append(element) Add node element to the end of the linked list
insert(position,element) Insert node element to position position
removeAt(position) Delete node according to index value position
remove(element) Search and delete the given node element
remove() Delete the last node in the linked list
indexOf(element) Find and return the index value of the given node element
isEmpty() Judge whether the linked list is empty
I won’t write the algorithm descriptions of the commonly used methods here. I believe everyone can easily read and understand them. After all, they are all This is very basic knowledge.

Singly linked list:



function LinkedList(){ 
 /*节点定义*/ 
 var Node = function(element){ 
  this.element = element; //存放节点内容 
  this.next = null; //指针 
 } 
 
 var length = 0, //存放链表长度 
  head = null; //头指针 
 
 this.append = function(element){ 
  var node = new Node(element), 
   current; //操作所用指针 
 
  if (!head){ 
   head = node; 
  }else { 
   current = head; 
 
   while(current.next){ 
    current = current.next; 
   } 
 
   current.next = node; 
  } 
 
  length++; 
  return true; 
 }; 
 
 this.insert = function(position, element){ 
  if (position >= 0 && position <= length) { 
   var node = new Node(element), 
    current = head, 
    previous, 
    index = 0; 
 
   if(position === 0){ 
    node.next = current; 
    head = node; 
   }else{ 
    while(index++ < position){ 
     previous = current; 
     current = current.next; 
    } 
    node.next = current; 
    previous.next = node; 
   } 
 
   length++; 
   return true; 
  }else{ 
   return false; 
  } 
  }; 
 
 this.removeAt = function(position){ 
  if(position > -1 && position < length){ 
   var current = head, 
    previous, 
    index = 0; 
 
   if (position === 0) { 
 
    head = current.next; 
 
   }else{ 
 
    while (index++ < position){ 
     previous = current; 
     current = current.next; 
    } 
 
    previous.next = current.next; 
   }; 
 
   length--; 
   return current.element; 
  }else{ 
   return null; 
  } 
 }; 
 
 this.remove = function(element){ 
  var current = head, 
   previous; 
 
  if(element === current.element){ 
   head = current.next; 
   length--; 
   return true; 
  } 
  previous = current; 
  current = current.next; 
 
  while(current){ 
   if(element === current.element){ 
    previous.next = current.next; 
    length--; 
    return true; 
   }else{ 
    previous = current; 
    current = current.next; 
   } 
  } 
  return false; 
 }; 
 
 this.remove = function(){ 
  if(length < 1){ 
   return false; 
  } 
 
  var current = head, 
  previous; 
 
  if(length == 1){ 
   head = null; 
   length--; 
   return current.element; 
  } 
 
  
  while(current.next !== null){ 
   previous = current; 
   current = current.next; 
  } 
 
  previous.next = null; 
  length--; 
  return current.element; 
 }; 
 
 this.indexOf = function(element){ 
  var current = head, 
   index = 0; 
 
  while(current){ 
   if(element === current.element){ 
    return index; 
   } 
   index++; 
   current = current.next; 
  } 
 
  return false; 
 }; 
 
 this.isEmpty = function(){ 
  return length === 0; 
 }; 
 
 this.size = function(){ 
  return length; 
 }; 
 
 this.toString = function(){ 
  var current = head, 
   string = &#39;&#39;; 
 
  while(current){ 
   string += current.element; 
   current = current.next; 
  } 
  return string; 
 };  
 
 this.getHead = function(){ 
  return head; 
 } 
  
}
Copy after login

Circular linked list: Based on the singly linked list, point the pointer of the tail node to the head node to form A circular linked list. Starting from any node in a circular linked list, the entire linked list can be traversed.



function CircularLinkedList(){ 
 var Node = function(element){ 
  this.element = element; 
  this.next = null; 
 } 
 
 var length = 0, 
  head = null; 
 
 this.append = function(element){ 
  var node = new Node(element), 
   current; 
 
  if (!head) { 
   head = node; 
   node.next = head; 
  }else{ 
   current = head; 
 
   while(current.next !== head){ 
    current = current.next; 
   } 
 
   current.next = node; 
   node.next = head; 
  }; 
 
  length++; 
  return true; 
 }; 
 
 this.insert = function(position, element){ 
  if(position > -1 && position < length){ 
   var node = new Node(element), 
    index = 0, 
    current = head, 
    previous; 
 
 
   if (position === 0) { 
 
    node.next = head; 
    head = node; 
 
   }else{ 
 
    while(index++ < position){ 
     previous = current; 
     current = current.next; 
    } 
 
    previous.next = node; 
    node.next = current; 
 
   }; 
 
   length++; 
   return true; 
  }else{ 
   return false; 
  } 
 }; 
 
 this.removeAt = function(position){ 
  if(position > -1 && position < length){ 
   var current = head, 
    previous, 
    index = 0; 
 
   if (position === 0) { 
 
    head = current.next; 
 
   }else{ 
 
    while (index++ < position){ 
     previous = current; 
     current = current.next; 
    } 
 
    previous.next = current.next; 
   }; 
 
   length--; 
   return current.element; 
  }else{ 
   return null; 
  } 
 }; 
 
 this.remove = function (element){ 
  var current = head, 
   previous, 
   indexCheck = 0; 
 
  while(current && indexCheck < length){ 
   if(current.element === element){ 
    if(indexCheck == 0){ 
     head = current.next; 
     length--; 
     return true; 
    }else{ 
     previous.next = current.next; 
     length--; 
     return true; 
    } 
   }else{ 
    previous = current; 
    current = current.next; 
    indexCheck++; 
   } 
  } 
  return false; 
 }; 
 
 this.remove = function(){ 
  if(length === 0){ 
   return false; 
  } 
 
  var current = head, 
   previous, 
   indexCheck = 0; 
 
  if(length === 1){ 
   head = null; 
   length--; 
   return current.element; 
  } 
 
  while(indexCheck++ < length){ 
   previous = current; 
   current = current.next; 
  } 
  previous.next = head; 
  length--; 
  return current.element; 
 }; 
 
 this.indexOf = function(element){ 
  var current = head, 
   index = 0; 
 
  while(current && index < length){ 
   if(current.element === element){ 
    return index; 
   }else{ 
    index++; 
    current = current.next; 
   } 
  } 
  return false; 
 }; 
 
 
 this.isEmpty = function(){ 
  return length === 0; 
 }; 
 
 this.size = function(){ 
  return length; 
 }; 
 
 this.toString = function(){ 
  var current = head, 
   string = &#39;&#39;, 
   indexCheck = 0; 
 
  while(current && indexCheck < length){ 
   string += current.element; 
   current = current.next; 
   indexCheck++; 
  } 
 
  return string; 
 };  
 
}
Copy after login

Usage method:


Expand the method outside the class:


Related recommendations:

Examples of using doubly linked lists in JavaScript data structures

##JavaScript Priority queue and circular queue in data structure

Detailed explanation of the definition and representation method of binary search tree of JavaScript data structure

The above is the detailed content of Sharing examples of JavaScript data structures singly linked list and circular linked list. For more information, please follow other related articles on the PHP Chinese website!

Statement of this Website
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn

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

AI Hentai Generator

AI Hentai Generator

Generate AI Hentai for free.

Hot Article

R.E.P.O. Energy Crystals Explained and What They Do (Yellow Crystal)
2 weeks ago By 尊渡假赌尊渡假赌尊渡假赌
Hello Kitty Island Adventure: How To Get Giant Seeds
1 months ago By 尊渡假赌尊渡假赌尊渡假赌
Two Point Museum: All Exhibits And Where To Find Them
1 months ago By 尊渡假赌尊渡假赌尊渡假赌

Hot Tools

Notepad++7.3.1

Notepad++7.3.1

Easy-to-use and free code editor

SublimeText3 Chinese version

SublimeText3 Chinese version

Chinese version, very easy to use

Zend Studio 13.0.1

Zend Studio 13.0.1

Powerful PHP integrated development environment

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

Recommended: Excellent JS open source face detection and recognition project Recommended: Excellent JS open source face detection and recognition project Apr 03, 2024 am 11:55 AM

Face detection and recognition technology is already a relatively mature and widely used technology. Currently, the most widely used Internet application language is JS. Implementing face detection and recognition on the Web front-end has advantages and disadvantages compared to back-end face recognition. Advantages include reducing network interaction and real-time recognition, which greatly shortens user waiting time and improves user experience; disadvantages include: being limited by model size, the accuracy is also limited. How to use js to implement face detection on the web? In order to implement face recognition on the Web, you need to be familiar with related programming languages ​​and technologies, such as JavaScript, HTML, CSS, WebRTC, etc. At the same time, you also need to master relevant computer vision and artificial intelligence technologies. It is worth noting that due to the design of the Web side

Compare complex data structures using Java function comparison Compare complex data structures using Java function comparison Apr 19, 2024 pm 10:24 PM

When using complex data structures in Java, Comparator is used to provide a flexible comparison mechanism. Specific steps include: defining the comparator class, rewriting the compare method to define the comparison logic. Create a comparator instance. Use the Collections.sort method, passing in the collection and comparator instances.

Java data structures and algorithms: in-depth explanation Java data structures and algorithms: in-depth explanation May 08, 2024 pm 10:12 PM

Data structures and algorithms are the basis of Java development. This article deeply explores the key data structures (such as arrays, linked lists, trees, etc.) and algorithms (such as sorting, search, graph algorithms, etc.) in Java. These structures are illustrated through practical examples, including using arrays to store scores, linked lists to manage shopping lists, stacks to implement recursion, queues to synchronize threads, and trees and hash tables for fast search and authentication. Understanding these concepts allows you to write efficient and maintainable Java code.

In-depth understanding of reference types in Go language In-depth understanding of reference types in Go language Feb 21, 2024 pm 11:36 PM

Reference types are a special data type in the Go language. Their values ​​do not directly store the data itself, but the address of the stored data. In the Go language, reference types include slices, maps, channels, and pointers. A deep understanding of reference types is crucial to understanding the memory management and data transfer methods of the Go language. This article will combine specific code examples to introduce the characteristics and usage of reference types in Go language. 1. Slices Slices are one of the most commonly used reference types in the Go language.

The relationship between js and vue The relationship between js and vue Mar 11, 2024 pm 05:21 PM

The relationship between js and vue: 1. JS as the cornerstone of Web development; 2. The rise of Vue.js as a front-end framework; 3. The complementary relationship between JS and Vue; 4. The practical application of JS and Vue.

PHP data structure: The balance of AVL trees, maintaining an efficient and orderly data structure PHP data structure: The balance of AVL trees, maintaining an efficient and orderly data structure Jun 03, 2024 am 09:58 AM

AVL tree is a balanced binary search tree that ensures fast and efficient data operations. To achieve balance, it performs left- and right-turn operations, adjusting subtrees that violate balance. AVL trees utilize height balancing to ensure that the height of the tree is always small relative to the number of nodes, thereby achieving logarithmic time complexity (O(logn)) search operations and maintaining the efficiency of the data structure even on large data sets.

The AI ​​era of JS is here! The AI ​​era of JS is here! Apr 08, 2024 am 09:10 AM

Introduction to JS-Torch JS-Torch is a deep learning JavaScript library whose syntax is very similar to PyTorch. It contains a fully functional tensor object (can be used with tracked gradients), deep learning layers and functions, and an automatic differentiation engine. JS-Torch is suitable for deep learning research in JavaScript and provides many convenient tools and functions to accelerate deep learning development. Image PyTorch is an open source deep learning framework developed and maintained by Meta's research team. It provides a rich set of tools and libraries for building and training neural network models. PyTorch is designed to be simple, flexible and easy to use, and its dynamic computation graph features make

Full analysis of Java collection framework: dissecting data structure and revealing the secret of efficient storage Full analysis of Java collection framework: dissecting data structure and revealing the secret of efficient storage Feb 23, 2024 am 10:49 AM

Overview of Java Collection Framework The Java collection framework is an important part of the Java programming language. It provides a series of container class libraries that can store and manage data. These container class libraries have different data structures to meet the data storage and processing needs in different scenarios. The advantage of the collection framework is that it provides a unified interface, allowing developers to operate different container class libraries in the same way, thereby reducing the difficulty of development. Data structures of the Java collection framework The Java collection framework contains a variety of data structures, each of which has its own unique characteristics and applicable scenarios. The following are several common Java collection framework data structures: 1. List: List is an ordered collection that allows elements to be repeated. Li

See all articles