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LinkedList in Data Structures and Algorithms

A linked list is a linear data structure in which elements are not stored in contiguous memory locations. Instead, each element, called a node, contains a data part and a reference (or link) to the next node in the sequence. Linked lists are used in various applications such as dynamic memory allocation, implementation of data structures like stacks and queues, and more.

Why are Linked Lists important?​

Linked lists are important because they provide a flexible way to store and manipulate data. They allow for efficient insertion and deletion of elements, which can be particularly useful in applications where the size of the data set changes frequently.

How to declare a Linked List?​

A linked list can be declared in various programming languages using the following syntax:

LinkedList in Data Structures and Algorithms (DSA)

Introduction​

A linked list is a fundamental data structure in computer science that represents a sequence of nodes. Each node contains data and a reference to the next node in the sequence.

Types of Linked Lists​

  • Singly Linked List: Each node points to the next node and the last node points to null.
  • Doubly Linked List: Each node points to both the next and the previous nodes.
  • Circular Linked List: The last node points to the first node, forming a circle.
  • Circular Doubly Linked List: Combines properties of both circular and doubly linked lists.

Basic Operations​

  • Insertion: Adding a node to the linked list.
  • Deletion: Removing a node from the linked list.
  • Traversal: Accessing each node of the linked list.
  • Search: Finding a node with a specific value.
  • Update: Modifying the value of an existing node.

Why are Linked Lists important?​

Linked lists are important because they provide a flexible way to store and manipulate data. They allow for efficient insertion and deletion of elements, which can be particularly useful in applications where the size of the data set changes frequently.

How to declare a Linked List?​

A linked list can be declared in various programming languages using the following syntax:

Written by @Ajay-Dhangar
// Node class in JavaScript
class Node {
constructor(data) {
this.data = data;
this.next = null;
}
}

// LinkedList class in JavaScript
class LinkedList {
constructor() {
this.head = null;
}

// Add a node at the end
append(data) {
let newNode = new Node(data);
if (this.head === null) {
this.head = newNode;
return;
}
let current = this.head;
while (current.next) {
current = current.next;
}
current.next = newNode;
}
}

How to access a Linked List?​

A linked list can be accessed by traversing the nodes starting from the head.

Written by @Ajay-Dhangar
// Access elements in a LinkedList in JavaScript
let list = new LinkedList();
list.append(10);
list.append(20);
list.append(30);

let current = list.head;
while (current !== null) {
console.log(current.data);
current = current.next;
}

How to update a Linked List?​

A linked list can be updated by changing the data of a node directly.

Written by @Ajay-Dhangar
// Update elements in a LinkedList in JavaScript
let list = new LinkedList();
list.append(10);
list.append(20);
list.append(30);

let current = list.head;
while (current !== null) {
if (current.data === 20) {
current.data = 25;
}
current = current.next;
}

How to delete a node from a Linked List?​

A node can be deleted from a linked list by adjusting the links of the adjacent nodes.

Written by @Ajay-Dhangar
// Delete a node from a LinkedList in JavaScript
class LinkedList {
// ...
delete(data) {
if (this.head === null) return;
if (this.head.data === data) {
this.head = this.head.next;
return;
}
let current = this.head;
while (current.next !== null) {
if (current.next.data === data) {
current.next = current.next.next;
return;
}
current = current.next;
}
}
}

Applications of Linked Lists​

  • Dynamic memory allocation: Linked lists can efficiently manage memory allocation and deallocation.
  • Implementation of stacks and queues: Linked lists provide the foundation for stack and queue data structures.
  • Graph representation: Adjacency lists use linked lists to represent graphs.
  • Handling sparse matrices: Linked lists efficiently store and manipulate sparse matrices.

Common Linked List Problems​

  • Reverse a Linked List: Reversing the nodes of a linked list.
  • Detect a cycle in a Linked List: Checking if a linked list contains a cycle.
  • Merge two sorted Linked Lists: Combining two sorted linked lists into one sorted linked list.
  • Find the middle of a Linked List: Finding the middle node in a linked list.

Advanced Linked List Variants​

  • Doubly Linked List: A linked list where each node has references to both the next and previous nodes.
  • Circular Linked List: A linked list where the last node points back to the first node.
  • Skip List: A linked list with additional pointers for faster search.

Resources and References​

  • Books:
    • "Introduction to Algorithms" by Cormen, Leiserson, Rivest, and Stein
    • "Data Structures and Algorithm Analysis in C" by Mark Allen Weiss
  • Online Courses:
    • Coursera: Data Structures and Algorithms Specialization
    • edX: Data Structures Fundamentals
  • Websites:

By understanding and mastering these linked list concepts and algorithms, you will be well-equipped to tackle a wide range of problems in data structures and algorithms.

Conclusion​

Linked lists are a fundamental data structure in computer science and play a crucial role in various applications and algorithms. This guide covers the essential concepts and operations associated with linked lists, providing a comprehensive understanding of how they work and how to implement them in different programming languages.

Understanding linked lists is crucial for solving numerous problems in computer science, from basic data manipulation to complex algorithms in dynamic memory allocation, graph representation, and more. The examples provided demonstrate how to work with linked lists efficiently, ensuring a robust foundation for tackling more advanced DSA concepts. Mastery of linked lists enhances your ability to handle data structures and perform operations crucial in both everyday programming and competitive coding.

Problems for Practice To further practice and test your understanding of linked lists, consider solving the following problems from LeetCode:

  1. Reverse Linked List
  2. Linked List Cycle
  3. Merge Two Sorted Lists
  4. Remove Nth Node From End of List
  5. Add Two Numbers

Engaging with these problems will help reinforce the concepts learned and provide practical experience in using linked lists effectively. By practicing these problems, you will enhance your problem-solving skills and deepen your understanding of linked list manipulation in various contexts.