Data Structures Tutorial

Data Structures Tutorial Asymptotic Notation Structure and Union Array Data Structure Linked list Data Structure Type of Linked list Advantages and Disadvantages of linked list Queue Data Structure Implementation of Queue Stack Data Structure Implementation of Stack Sorting Insertion sort Quick sort Selection sort Heap sort Merge sort Bucket sort Count sort Radix sort Shell sort Tree Traversal of the binary tree Binary search tree Graph Spanning tree Linear Search Binary Search Hashing Collision Resolution Techniques

Misc Topic:

Priority Queue in Data Structure Deque in Data Structure Difference Between Linear And Non Linear Data Structures Queue Operations In Data Structure About Data Structures Data Structures Algorithms Types of Data Structures Big O Notations Introduction to Arrays Introduction to 1D-Arrays Operations on 1D-Arrays Introduction to 2D-Arrays Operations on 2D-Arrays Strings in Data Structures String Operations Application of 2D array Bubble Sort Insertion Sort Sorting Algorithms What is DFS Algorithm What Is Graph Data Structure What is the difference between Tree and Graph What is the difference between DFS and BFS Bucket Sort Dijkstra’s vs Bellman-Ford Algorithm Linear Queue Data Structure in C Stack Using Array Stack Using Linked List Recursion in Fibonacci Stack vs Array What is Skewed Binary Tree Primitive Data Structure in C Dynamic memory allocation of structure in C Application of Stack in Data Structures Binary Tree in Data Structures Heap Data Structure Recursion - Factorial and Fibonacci What is B tree what is B+ tree Huffman tree in Data Structures Insertion Sort vs Bubble Sort Adding one to the number represented an array of digits Bitwise Operators and their Important Tricks Blowfish algorithm Bubble Sort vs Selection Sort Hashing and its Applications Heap Sort vs Merge Sort Insertion Sort vs Selection Sort Merge Conflicts and ways to handle them Difference between Stack and Queue AVL tree in data structure c++ Bubble sort algorithm using Javascript Buffer overflow attack with examples Find out the area between two concentric circles Lowest common ancestor in a binary search tree Number of visible boxes putting one inside another Program to calculate the area of the circumcircle of an equilateral triangle Red-black Tree in Data Structures Strictly binary tree in Data Structures 2-3 Trees and Basic Operations on them Asynchronous advantage actor-critic (A3C) Algorithm Bubble Sort vs Heap Sort Digital Search Tree in Data Structures Minimum Spanning Tree Permutation Sort or Bogo Sort Quick Sort vs Merge Sort Boruvkas algorithm Bubble Sort vs Quick Sort Common Operations on various Data Structures Detect and Remove Loop in a Linked List How to Start Learning DSA Print kth least significant bit number Why is Binary Heap Preferred over BST for Priority Queue Bin Packing Problem Binary Tree Inorder Traversal Burning binary tree Equal Sum What is a Threaded Binary Tree? What is a full Binary Tree? Bubble Sort vs Merge Sort B+ Tree Program in Q language Deletion Operation from A B Tree Deletion Operation of the binary search tree in C++ language Does Overloading Work with Inheritance Balanced Binary Tree Binary tree deletion Binary tree insertion Cocktail Sort Comb Sort FIFO approach Operations of B Tree in C++ Language Recaman’s Sequence Tim Sort Understanding Data Processing Applications of trees in data structures Binary Tree Implementation Using Arrays Convert a Binary Tree into a Binary Search Tree Create a binary search tree Horizontal and Vertical Scaling Invert binary tree LCA of binary tree Linked List Representation of Binary Tree Optimal binary search tree in DSA Serialize and Deserialize a Binary Tree Tree terminology in Data structures Vertical Order Traversal of Binary Tree What is a Height-Balanced Tree in Data Structure Convert binary tree to a doubly linked list Fundamental of Algorithms Introduction and Implementation of Bloom Filter Optimal binary search tree using dynamic programming Right side view of binary tree Symmetric binary tree Trim a binary search tree What is a Sparse Matrix in Data Structure What is a Tree in Terms of a Graph What is the Use of Segment Trees in Data Structure What Should We Learn First Trees or Graphs in Data Structures All About Minimum Cost Spanning Trees in Data Structure Convert Binary Tree into a Threaded Binary Tree Difference between Structured and Object-Oriented Analysis FLEX (Fast Lexical Analyzer Generator) Object-Oriented Analysis and Design Sum of Nodes in a Binary Tree What are the types of Trees in Data Structure What is a 2-3 Tree in Data Structure What is a Spanning Tree in Data Structure What is an AVL Tree in Data Structure Given a Binary Tree, Check if it's balanced B Tree in Data Structure Convert Sorted List to Binary Search Tree Flattening a Linked List Given a Perfect Binary Tree, Reverse Alternate Levels Left View of Binary Tree What are Forest Trees in Data Structure Compare Balanced Binary Tree and Complete Binary Tree Diameter of a Binary Tree Given a Binary Tree Check the Zig Zag Traversal Given a Binary Tree Print the Shortest Path Given a Binary Tree Return All Root To Leaf Paths Given a Binary Tree Swap Nodes at K Height Given a Binary Tree Find Its Minimum Depth Given a Binary Tree Print the Pre Order Traversal in Recursive Given a Generate all Structurally Unique Binary Search Trees Perfect Binary Tree Threaded Binary Trees Function to Create a Copy of Binary Search Tree Function to Delete a Leaf Node from a Binary Tree Function to Insert a Node in a Binary Search Tree Given Two Binary Trees, Check if it is Symmetric A Full Binary Tree with n Nodes Applications of Different Linked Lists in Data Structure B+ Tree in Data Structure Construction of B tree in Data Structure Difference between B-tree and Binary Tree Finding Rank in a Binary Search Tree Finding the Maximum Element in a Binary Tree Finding the Minimum and Maximum Value of a Binary Tree Finding the Sum of All Paths in a Binary Tree Time Complexity of Selection Sort in Data Structure How to get Better in Data Structures and Algorithms Binary Tree Leaf Nodes Classification of Data Structure Difference between Static and Dynamic Data Structure Find the Union and Intersection of the Binary Search Tree Find the Vertical Next in a Binary Tree Finding a Deadlock in a Binary Search Tree Finding all Node of k Distance in a Binary Tree Finding Diagonal Sum in a Binary Tree Finding Diagonal Traversal of The Binary Tree Finding In-Order Successor Binary Tree Finding the gcd of Each Sibling of the Binary Tree Greedy Algorithm in Data Structure How to Calculate Space Complexity in Data Structure How to find missing numbers in an Array Kth Ancestor Node of Binary Tree Minimum Depth Binary Tree Mirror Binary Tree in Data Structure Red-Black Tree Insertion Binary Tree to Mirror Image in Data Structure Calculating the Height of a Binary Search Tree in Data Structure Characteristics of Binary Tree in Data Structure Create a Complete Binary Tree from its Linked List Field in Tree Data Structure Find a Specified Element in a binary Search Tree Find Descendant in Tree Data Structure Find Siblings in a Binary Tree Given as an Array Find the Height of a Node in a Binary Tree Find the Second-Largest Element in a Binary Tree Find the Successor Predecessor of a Binary Search Tree Forest of a Tree in Data Structure In Order Traversal of Threaded Binary Tree Introduction to Huffman Coding Limitations of a Binary Search Tree Link State Routing Algorithm in Data Structure Map Reduce Algorithm for Binary Search Tree in Data Structure Non-Binary Tree in Data Structure Quadratic Probing Example in Hashing Scope and Lifetime of Variables in Data Structure Separate Chaining in Data Structure What is Dynamic Data Structure Separate Chaining vs Open Addressing Time and Space Complexity of Linear Data Structures Abstract Data Types in Data Structures Binary Tree to Single Linked List Count the Number of Nodes in the Binary Tree Count Total No. of Ancestors in a Binary Search Tree Elements of Dynamic Programming in Data Structures Find cost of tree with prims algorithm in data structures Find Preorder Successor in a Threaded Binary Tree Find Prime Nodes Sum Count in Non-Binary Tree Find the Right Sibling of a Binary Tree with Parent Pointers Find the Width of the Binary Search Tree Forest trees in Data Structures Free Tree in Data Structures Frequently asked questions in Tree Data Structures Infix, Postfix and Prefix Conversion Time Complexity of Fibonacci Series What is Weighted Graph in Data Structure What is the Advantage of Linear Search?

Applications of Different Linked Lists in Data Structure
2023-02-16 00:28:18

Applications of Different Linked Lists in Data Structure

What is a Linked list?

A linked list is a data structure that consists of a sequence of elements, where each containing a reference or ("link") to the next element in the list. The first element is called the head and the last element is called the tail. Linked lists are often used in place of arrays when the size of the data set is unknown or when the data is frequently inserted or deleted. They can also be useful for implementing other data structures such as stacks and queues.

Types of Linked Lists

There are several types of linked lists. Some of them are as follows:

  1. Singly Linked List: In this type of linked list, each element (also known as a node) has a reference only to the next element in the list.
  2. Doubly Linked List: In this type of linked list, each element has a reference to both the next and previous elements in the list. This allows for easier traversal in both directions.
  3. Circular Linked List: In this type of linked list, the last element points back to the first element, effectively forming a circle. This can be implemented as either a singly or doubly linked list.
  4. Skip List: In this type of linked list, each element also has one or more forward pointers to elements further down the list, allowing for faster traversal of large lists.
  5. XOR Linked List: In this type of linked list, each element stores the memory address of the next element using the XOR operation. This allows for the reduction of memory usage and faster traversal.
  6. Multi-linked List: In this type of linked list, each element can have multiple links to other elements in the list. This can be useful in certain types of graph-based algorithms.

Applications of Linked Lists

Linked lists are a type of data structure that can be used in a variety of applications, such as:

  • Dynamic memory allocation: Linked lists can be used to allocate and deallocate memory dynamically, as new elements can be added or removed from the list as needed.
  • Data traversal: Linked lists can be used to traverse large amounts of data, as each element in the list contains a pointer to the next element.
  • Stacks and Queues: Linked lists can be used to implement stacks and queues, which are commonly used in computer science and programming.
  • Reverse order traversing: Linked list can be used to traverse elements in reverse order.
  • Multi-way branching: Linked list can be used to implement multi-way branching.
  • Graph data structure: Linked list can be used to implement graphs and represent the edges in graph data structures.
  • Hash Table: Linked lists can be used in hash table implementation as a way to handle collisions.
  • Circular linked list: Circular linked list can be used for implementation of circular queue.
  • Insertion and deletion: Linked lists allow for efficient insertion and deletion of elements at any point in the list, as only the links between elements need to be updated.
  • Variable size: Linked lists can be used when the size of the data set is unknown or when the size may change frequently, as the memory for a linked list is allocated as needed.
  • Sparse Matrix: Linked lists can be used to represent large sparse matrix, where only non-zero elements are stored.
  • Polynomial Representation: Linked lists can be used to represent polynomials, where each element represents a term in the polynomial.
  • LRU Cache: Linked list can be used to implement LRU Cache where elements are always added and deleted from the head and tail of the list respectively.

Applications of Singly Linked Lists

Singly linked lists have a number of applications. Some of them are as follows:

  • Stacks: Singly linked lists can be used to implement a last-in, first-out (LIFO) stack data structure, where elements are added and removed from the top of the stack.
  • Queues: Singly linked lists can be used to implement a first-in, first-out (FIFO) queue data structure, where elements are added to the tail of the list and removed from the head.
  • Dynamic memory allocation: Singly linked lists can be used for dynamic memory allocation, where new elements are added to the list as needed and de-allocated when they are no longer needed.
  • Hash tables: Singly linked lists can be used to implement hash tables with chaining, where each element in the hash table is a linked list node that stores the key-value pair.
  • Sparse matrix representation: Singly linked lists can be used to represent sparse matrices, where only the non-zero elements are stored.
  • Linked List based Merge Sort: Singly linked lists can be used to implement Merge Sort, where the list is divided into two parts and then merge back by comparing the elements.
  • Graphs: Singly linked lists can be used to represent the edges in a graph data structure.
  • Circular buffer: Singly linked list can be used to implement a circular buffer where head and tail both points to the same element, and when buffer is full, it overwrites the oldest element.

Applications of Doubly Linked List

Doubly linked lists have a number of applications. Some of them are as follows:

  • Insertion and deletion: Doubly linked lists allow for efficient insertion and deletion of elements at any point in the list, as only the links between elements need to be updated.
  • Stacks and Queues: Doubly linked lists can be used to implement stack and queue data structures, which are commonly used in computer science.
  • Browser history: Doubly linked lists can be used to implement the forward and backward navigation of web browsers.
  • LRU Cache: Doubly linked list can be used to implement LRU Cache, where elements are always added and deleted from the head and tail of the list respectively.
  • Graphs: Doubly linked lists can be used to represent the edges in a graph data structure.
  • Undo-Redo functionality: Doubly linked lists can be used to implement undo-redo functionality in software, where each element in the list represents a state of the program.
  • Circular buffer: Doubly linked list can be used to implement a circular buffer where head and tail both points to the same element, and when buffer is full, it overwrites the oldest element.

Applications of Circular Linked Lists

Circular linked lists have a number of applications. Some of them are as follows:

  • Queues: Circular linked lists can be used to implement a first-in, first-out (FIFO) queue data structure, where elements are added to the tail of the list and removed from the head. This can be useful in situations where the queue needs to be circular, i.e. when the end of the list is reached; the next element is the first element.
  • LRU Cache: Circular linked list can be used to implement LRU Cache, where elements are always added and deleted from the head and tail of the list respectively.
  • Music player: A circular linked list can be used to implement a music player, where the next song plays after the last song.
  • Game development: Circular linked list can be used in game development, where a circular linked list can be used to implement a circular queue for storing the inputs.
  • Token ring: Circular linked list can be used to implement token ring networks, where the data is passed from one node to another in a circular fashion.
  • Round-robin scheduling: Circular linked list can be used in round-robin scheduling, where the CPU time is allocated to each process in a circular fashion.