Applications of Data Structure

Data structures is the core of software development, any efficient method to a given problem is contingent on how effectively data is arranged. Hash tables are used to build identifier lookups in compiler implementations.The B-tree data structures are appropriate for use in databases.

The following are some of the most important areas where data structures are used:

🚀 Artificial intelligence

🚀 Compiler design

🚀 Machine learning

🚀 Database design and management

🚀 Blockchain

🚀 Numerical and Statistical analysis

🚀 Operating system development

🚀 Image & Speech Processing

🚀 Cryptography

Applications of Data Structure

The data structures store the data according to the mathematical or logical model it is based on. The type of operations on a certain data structure makes it useful for specific tasks. Here is a brief discussion of different applications of data structures.

Arrays

  • Storing list of data elements belonging to same data type
  • Auxiliary storage for other data structures
  • Storage of binary tree elements of fixed count
  • Storage of matrices

Linked List

  • Implementing stacks, queues, binary trees and graphs of predefined size.
  • Implement dynamic memory management functions of operating system.
  • Polynomial implementation for mathematical operations
  • Circular linked list is used to implement OS or application functions that require round robin execution of tasks.
  • Circular linked list is used in a slide show where a user wants to go back to the first slide after last slide is displayed.
  • When a user uses the alt+tab key combination to browse through the opened application to select a desired application
  • Doubly linked list is used in the implementation of forward and backward buttons in a browser to move backwards and forward in the opened pages of a website.
  • Circular queue is used to maintain the playing sequence of multiple players in a game.

Stacks

  • Temporary storage structure for recursive operations
  • Auxiliary storage structure for nested operations, function calls, deferred/postponed functions
  • Manage function calls
  • Evaluation of arithmetic expressions in various programming languages
  • Conversion of infix expressions into postfix expressions
  • Checking syntax of expressions in a programming environment
  • Matching of parenthesis
  • String reversal
  • In all the problems solutions based on backtracking.
  • Used in depth first search in graph and tree traversal.
  • Operating System functions
  • UNDO and REDO functions in an editor.

Queues

  • It is used in breadth search operation in graphs.
  • Job scheduler operations of OS like a print buffer queue, keyboard buffer queue to store the keys pressed by users
  • Job scheduling, CPU scheduling, Disk Scheduling
  • Priority queues are used in file downloading operations in a browser
  • Data transfer between peripheral devices and CPU.
  • Interrupts generated by the user applications for CPU
  • Calls handled by the customers in BPO

Trees

  • Implementing the hierarchical structures in computer systems like directory and file system
  • Implementing the navigation structure of a website
  • Code generation like Huffman’s code
  • Decision making in gaming applications
  • Implementation of priority queues for priority based OS scheduling functions
  • Parsing of expressions and statements in programming language compilers
  • For storing data keys for DBMS for indexing
  • Spanning trees for routing decisions in computer and communications networks
  • Hash trees
  • path-finding algorithm to implement in AI, robotics and video games applications

Graphs

  • Representing networks and routes in communication, transportation and travel applications
  • Routes in GPS
  • Interconnections in social networks and other network based applications
  • Mapping applications
  • Ecommerce applications to present user preferences
  • Utility networks to identify the problems posed to municipal or local corporations
  • Resource utilization and availability in an organization
  • Document link map of a website to display connectivity between pages through hyperlinks
  • Robotic motion and neural networks

These are a few applications of data structures to make appropriate storage and management of data for specific applications.

Popular posts from this blog

DATA STRUCTURES-II

 UNIT – I  Tree: Header nodes, Threads, Binary search trees, Searching, Insertion and deletion in aBinary search tree , AVL search trees, Insertion and deletion in AVL search tree , m-waysearch tree, Searching, Insertion and deletion in an m-way search tree , B-trees, Searching,Insertion and deletion in a B-tree, B+tree , Huffman’s algorithm , General trees.  UNIT – II  Graphs: Warshall’s algorithm for shortest path , Dijkstra algorithm for shortest path , Operations on graphs , Traversal of graph , Topological sorting .  UNIT – III  Sorting: Internal & external sorting , Radix sort , Quick sort , Heap sort , Merge sort . Searching: Liner search, binary search, merging , Comparison of various sorting and searching algorithms on the basis of their complexity .  UNIT – IV  Files: Physical storage devices and their characteristics , Attributes of a file viz fields, records,Fixed and variable length records, Primary and secondary keys , Clas...
Read more

DATA STRUCTURES FOR BCA

UNIT – I  Introduction: Elementary data organization, Data Structure definition , Data type vs. data structure , Categories of data structures, Data structure operations, Applications of data structures, Algorithms complexity and time-space tradeoff, Big-O notataion.   Strings: Introduction, Storing strings, String operations, Pattern matching algorithms.  UNIT – II  Arrays: Introduction, Linear arrays, Representation of linear array in memory, address calculations, Traversal, Insertions, Deletion in an array, Multidimensional arrays, Parallel arrays, Sparse arrays.  Linked List: Introduction, Array vs. linked list, Representation of linked lists in memory, Traversal, Insertion, Deletion, Searching in a linked list, Header linked list, Circular linked list, Two-way linked list, Threaded lists, Garbage collection, Applications of linked lists.  UNIT – III  Stack: Introduction, Array and linked representation of stacks, Operations on stacks, Ap...
Read more

DATA STRUCTURES FOR B.TECH

DATA STRUCTURES Unit 1: Introduction :   Basic Terminologies:   C oncept of Data Structure, Choice of right Data Structure , Algorithms , how to design and develop algorithm, Complexity of algorithm.   Operations: insertion, deletion, traversal etc,   Analysis of an Algorithm. Searching:  Linear Search and Binary Search Techniques and their complexity analysis. Unit 2: Stacks  and  Queues : Stack  and  its  operations: Algorithms and their complexity analysis, Applications of Stacks: Expression       Conversion and evaluation -corresponding algorithms and complexity analysis. queue, Types of Queue: Simple  Queue, Circular Queue, Priority Queue ; Operations on each types of Queues: Algorithms and their analysis.   Unit 3 : Linked Lists:      Singly   linked  lists: Representation in memory, Algorithms of several operations:...
Read more