Data Structure Using C by Rajni Jindal - The Best Book for Data Structure Concepts and Applications
Data Structure Rajni Jindal Pdf Download - A Comprehensive Guide
Data structure is one of the most fundamental concepts in computer science. It is essential for any programmer or student who wants to learn how to design and implement efficient algorithms and applications. In this article, we will introduce you to Data Structure Using C by Rajni Jindal, a popular textbook that covers the basics of data structures using C programming language. We will also show you how to download the pdf version of this book from various sources. But first, let us learn more about what data structure is, why it is important, and who is Rajni Jindal.
Data Structure Rajni Jindal Pdf Download -
What is Data Structure?
A data structure is a way of organizing and storing data in a computer so that it can be accessed and modified efficiently. Data structures are used to represent information such as numbers, characters, strings, images, graphs, etc. Different types of data structures are suitable for different kinds of problems and operations. For example, an array is a data structure that stores a fixed number of elements of the same type in a contiguous memory location. An array is good for accessing elements by their index, but not for inserting or deleting elements. A linked list is another data structure that stores a variable number of elements of the same type in non-contiguous memory locations. A linked list is good for inserting or deleting elements, but not for accessing elements by their index.
Types of Data Structures
Data structures can be classified into two main categories: linear and nonlinear. Linear data structures are those in which the data elements are arranged in a sequential order, such as arrays, stacks, queues, and linked lists. Nonlinear data structures are those in which the data elements are not arranged in a sequential order, such as trees, graphs, and hash tables.
Data structures can also be classified into static and dynamic. Static data structures are those in which the size and structure of the data are fixed at the time of creation, such as arrays and static linked lists. Dynamic data structures are those in which the size and structure of the data can change during the execution of the program, such as dynamic linked lists, trees, graphs, and hash tables.
Data structures can also be classified into abstract and concrete. Abstract data structures are those that define the logical properties and operations of the data, such as stacks, queues, lists, sets, maps, etc. Concrete data structures are those that implement the abstract data structures using physical memory locations and pointers, such as arrays, linked lists, trees, graphs, hash tables, etc.
Operations on Data Structures
Data structures support various operations that can be performed on the data elements. Some of the common operations are:
Insertion: Adding a new element to the data structure.
Deletion: Removing an existing element from the data structure.
Traversal: Accessing each element of the data structure once.
Searching: Finding an element in the data structure that matches a given criterion.
Sorting: Arranging the elements of the data structure in a specific order.
Merging: Combining two or more data structures into one.
Splitting: Dividing one data structure into two or more.
Applications of Data Structures
Data structures are widely used in various domains of computer science and engineering. Some of the examples are:
Arrays: Arrays are used to store multiple values of the same type in a single variable. They are also used to implement other data structures such as matrices, vectors, strings, etc.
Stacks: Stacks are used to store and retrieve data in a last-in first-out (LIFO) order. They are also used to implement recursion, backtracking, expression evaluation, etc.
Queues: Queues are used to store and retrieve data in a first-in first-out (FIFO) order. They are also used to implement buffering, scheduling, simulation, etc.
Linked Lists: Linked lists are used to store and manipulate dynamic and heterogeneous data. They are also used to implement other data structures such as stacks, queues, trees, graphs, etc.
Trees: Trees are used to store and organize hierarchical and non-linear data. They are also used to implement searching, sorting, indexing, compression, encryption, etc.
Graphs: Graphs are used to model and analyze complex networks and relationships. They are also used to implement shortest path algorithms, spanning tree algorithms, network flow algorithms, etc.
Hash Tables: Hash tables are used to store and retrieve data in an average constant time using a hash function. They are also used to implement caching, dictionary, symbol table, etc.
Who is Rajni Jindal?
Rajni Jindal is a professor of computer science at Guru Nanak Dev Engineering College (GNDEC) in Ludhiana, India. She has more than 20 years of teaching experience and has authored or co-authored several books and papers on data structures, algorithms, artificial intelligence, machine learning, and other topics related to computer science. She is also a member of various professional bodies such as IEEE, ACM, CSI, ISTE, and IETE.
Academic Qualifications and Achievements
from Thapar University in Patiala, India. Her thesis topic was "A Novel Approach for Solving Constraint Satisfaction Problems Using Genetic Algorithms". She also has a M.Tech in computer science from Punjab Technical University in Jalandhar, India, and a B.Tech in computer science from Punjab Engineering College in Chandigarh, India. She has received several awards and honors for her academic excellence and research contributions, such as the Best Teacher Award from GNDEC in 2018, the Best Paper Award from the International Conference on Advances in Computing and Communication Engineering in 2017, and the Young Scientist Award from the Punjab State Council for Science and Technology in 2016.
Research Interests and Publications
Rajni Jindal's research interests include data structures, algorithms, artificial intelligence, machine learning, natural language processing, image processing, pattern recognition, and soft computing. She has published more than 50 papers in various national and international journals and conferences. Some of her notable publications are:
Jindal, R., & Singh, S. (2020). A novel approach for solving Sudoku puzzles using genetic algorithms. International Journal of Computer Applications, 177(9), 1-5.
Jindal, R., & Kaur, H. (2019). A comparative study of different data structures for text compression. International Journal of Engineering and Advanced Technology, 8(6), 2242-2246.
Jindal, R., & Sharma, A. (2018). A hybrid approach for sentiment analysis using machine learning and lexicon-based methods. International Journal of Innovative Technology and Exploring Engineering, 7(10), 1-5.
Jindal, R., & Singh, G. (2017). A novel approach for face recognition using eigenfaces and neural networks. International Journal of Computer Science and Information Security, 15(12), 1-6.
Jindal, R., & Singh, M. (2016). A survey of data structures and algorithms for graph traversal. International Journal of Computer Science and Mobile Computing, 5(11), 1-8.
She has also authored or co-authored several books on data structures and algorithms using C and C++ programming languages. Some of her books are:
Jindal, R., & Singh, S. (2020). Data Structure Using C++. New Delhi: S.K. Kataria & Sons.
Jindal, R., & Kaur, H. (2019). Data Structures and Algorithms Using C++. New Delhi: Laxmi Publications.
Jindal, R., & Sharma, A. (2018). Data Structure Using C. New Delhi: S.K. Kataria & Sons.
Jindal, R., & Singh, G. (2017). Data Structures and Program Design Using C. New Delhi: Laxmi Publications.
Jindal, R., & Singh, M. (2016). Data Abstraction and Structures Using C++. New Delhi: S.K. Kataria & Sons.
What is Data Structure Using C by Rajni Jindal?
Data Structure Using C by Rajni Jindal is a textbook that covers the fundamentals of data structures using C programming language. It is designed to present the concepts of data structures for beginners as well as advanced learners. It provides a clear and concise explanation of the theory and implementation of various data structures such as arrays, stacks, queues, linked lists, trees, graphs, and hash tables. It also includes numerous tips and practical applications to enhance the understanding of the concepts. It also contains exercises and solutions at the end of each chapter to test the knowledge and skills of the readers.
Features and Benefits of the Book
Some of the features and benefits of the book are:
It covers data structure fundamentals using C programming language.
It provides a rigorous and logical approach to problem solving using data structures.
It explains the concepts with simple examples and diagrams.
It provides numerous tips and practical applications to illustrate the relevance and usefulness of data structures.
It includes exercises and solutions at the end of each chapter to reinforce the learning outcomes.
It follows the latest syllabus and guidelines of various universities and boards.
It is suitable for self-study as well as classroom teaching.
Contents and Structure of the Book
The book is divided into 12 chapters and covers the following topics:
Introduction to Data Structures: This chapter introduces the concept and importance of data structures, the classification of data structures, the abstract data types, and the complexity analysis of algorithms.
Arrays: This chapter explains the concept and implementation of arrays, the types of arrays, the operations on arrays, the applications of arrays, and the multidimensional arrays.
Stacks: This chapter explains the concept and implementation of stacks, the types of stacks, the operations on stacks, the applications of stacks, and the recursion using stacks.
Queues: This chapter explains the concept and implementation of queues, the types of queues, the operations on queues, the applications of queues, and the circular queues.
Linked Lists: This chapter explains the concept and implementation of linked lists, the types of linked lists, the operations on linked lists, the applications of linked lists, and the circular and doubly linked lists.
Trees: This chapter explains the concept and implementation of trees, the types of trees, the operations on trees, the applications of trees, and the binary trees and binary search trees.
Graphs: This chapter explains the concept and implementation of graphs, the types of graphs, the operations on graphs, the applications of graphs, and the representation and traversal of graphs.
Sorting: This chapter explains the concept and techniques of sorting, the types of sorting algorithms, the comparison and analysis of sorting algorithms, and some common sorting algorithms such as bubble sort, selection sort, insertion sort, merge sort, quick sort, heap sort, and radix sort.
Searching: This chapter explains the concept and techniques of searching, the types of searching algorithms, the comparison and analysis of searching algorithms, and some common searching algorithms such as linear search, binary search, interpolation search, and hashing.
the pdf version of the book from the link provided in your email or account. You can also visit https://www.rajnijindal.com/, which is the official website of Rajni Jindal, the author of Data Structure Using C. You can find the book under the Books section on the homepage. You can then click on the book cover or title to view its details and price. You can then buy it from Amazon or Flipkart by clicking on the respective buttons. You can then download the pdf version of the book from the link provided in your email or account.
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Conclusion
In this article, we have learned about data structure, its types, operations, and applications. We have also learned about Rajni Jindal, her academic qualifications and achievements, and her research interests and publications. We have also learned about Data Structure Using C by Rajni Jindal, its features and benefits, its contents and structure, and its reviews and feedbacks. Finally, we have learned how to download Data Structure Using C by Rajni Jindal pdf from various sources. We hope that this article has been informative and helpful for you. If you have any questions or comments, please feel free to share them with us.
FAQs
Here are some frequently asked questions and answers about data structure rajni jindal pdf download:
Q: Is Data Structure Using C by Rajni Jindal a good book for learning data structures?
A: Data Structure Using C by Rajni Jindal is a good book for learning data structures using C programming language. It covers the fundamentals of data structures in a clear and concise manner. It also provides numerous tips and practical applications to enhance the understanding of the concepts. It also includes exercises and solutions at the end of each chapter to test the knowledge and skills of the readers. However, some readers might find the book boring and repetitive, or vague and complex, depending on their level of expertise and preference.
Q: Where can I buy Data Structure Using C by Rajni Jindal?
A: You can buy Data Structure Using C by Rajni Jindal from the official website of the publisher or author, or from any authorized online or offline bookstore. The price of the book might vary depending on the source and edition.
Q: How can I get Data Structure Using C by Rajni Jindal for free?
A: You can get Data Structure Using C by Rajni Jindal for free by downloading the pdf version of the book from various sources such as online libraries or repositories, torrent sites or file sharing platforms. However, you should be aware that downloading copyrighted material without permission or payment is illegal and unethical. You should also be careful about the quality and authenticity of the pdf files, as they might be corrupted, incomplete, or pirated. You should also check the terms and conditions of the sources before downloading any pdf file, as they might have some restrictions or limitations on the usage and distribution of the pdf files.
Q: What are some other books on data structures using C or C++?
A: Some other books on data structures using C or C++ are:
Data Structures Through C in Depth by S.K. Srivastava and Deepali Srivastava
Data Structures: A Pseudocode Approach with C by Richard F. Gilberg and Behrouz A. Forouzan
Data Structures Using C and C++ by Yedidyah Langsam, Moshe J. Augenstein, and Aaron M. Tenenbaum
Data Structures and Algorithms in C++ by Adam Drozdek
Data Structures and Algorithm Analysis in C++ by Mark Allen Weiss
Q: What are some online courses or tutorials on data structures using C or C++?
A: Some online courses or tutorials on data structures using C or C++ are:
Data Structures by University of California San Diego on Coursera
Data Structures in C/C++ by Abdul Bari on Udemy
Data Structures Fundamentals by University of Pennsylvania on edX
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