93 Best Books on Data Structure and Algorithms

We have compiled a list of the Best Reference Books on Data Structure and Algorithms, which are used by students of top universities, and colleges. This will help you choose the right book depending on if you are a beginner or an expert. Here is the complete list of Data Structure and Algorithms Books with their authors, publishers, and an unbiased review of them as well as links to the Amazon website to directly purchase them. If permissible, you can also download the free PDF books on Data Structure and Algorithms below.

1. Data Structure and Algorithms

 
1."Data Structures and Algorithms Made Easy in Java: Data Structure and Algorithmic Puzzles" by Narasimha Karumanchi
“Data Structures and Algorithms Made Easy in Java: Data Structure and Algorithmic Puzzles” Book Review: This book presents a diverse collection of problems from various areas of computer science. It provides Java code solutions for complex data structures and algorithmic problems. Different solution strategies are explored for problems of varying complexities. With 21 chapters, the book covers topics such as recursion, linked lists, stacks, queues, trees, priority queues, heaps, and disjoint sets ADT. It also discusses sorting, searching, graph algorithms, selection algorithms, symbol tables, hashing, string algorithms, and algorithm design techniques. The subsequent chapters delve into greedy algorithms, divide and conquer algorithms, dynamic programming, complexity classes, and more. Targeted at computer science professionals, this book is a valuable resource for interview preparation, exams, and practical work. The concepts of data structures are explained effectively, complemented by diagrams. The chapters are well-organized, focusing on relevant data structures and associated problems.

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2."Data Structures and Algorithms in Python" by Michael T Goodrich and Roberto Tamassia
“Data Structures and Algorithms in Python” Book Review: This book is a comprehensive introduction to data structures in Python, written by experienced authors who have previously authored market-leading data structures books in Java and C++. “Data Structures and Algorithms in Python” is the only authoritative book available that focuses on Python data structures. The book covers the design, analysis, and implementation of data structures and algorithms, following a similar structure to the Java and C++ counterparts. It starts with an overview of Python’s simple syntax, emphasizing key concepts. The book uses an object-oriented approach and presents each data structure through ADTs and their implementations. Design patterns are introduced to organize these implementations into classes, methods, and objects. The book includes thorough discussions on the analysis and design of essential data structures, accompanied by helpful Python code examples available on the website. Illustrations are used to visually present data structures, algorithms, and their analysis. A wide range of exercises encourages creativity, develops programming thinking, and reinforces important concepts. The book incorporates Python code snippets, pseudo-code, and a variety of exercises categorized into reinforcement, creativity, and programming projects.

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3."Data Structure and Algorithmic Thinking with Python" by Narasimha Karumanchi
“Data Structure and Algorithmic Thinking with Python” Book Review: This book offers practical solutions to complex problems in data structures and algorithms using Python. It provides multiple effective solutions for each problem, focusing on the underlying concepts and techniques. The book covers a wide range of topics, including recursion, linked lists, stacks, queues, trees, sorting, searching, graphs, and dynamic programming. It also includes programming puzzles to enhance analytical skills. Designed for programmers, job seekers, and exam/interview preparation, the book presents various approaches to problem-solving and aims to inspire creativity and critical thinking. With its comprehensive coverage and emphasis on practical solutions, this book is a valuable resource for tackling challenging data structure and algorithm problems in Python.

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4."Data Structures and Algorithms in Java" by Lafore
“Data Structures and Algorithms in Java” Book Review: This book is designed to enhance program performance and comprehension by demonstrating and explaining algorithms using the latest versions of the Java 2 SDK. Despite the complexity of the subject, the book strives to be easily readable and understandable. It includes clear and concise example programs, as well as a workshop with a small executable program that illustrates data structures graphically. The second edition features improved animations and explanations of algorithms, updated example programs for the latest Java JDK, and added questions and exercises at the end of each chapter. These additions make the book even more valuable for gaining a deep understanding of best practices in manipulating data with Java.

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5."Data Structures Through C in Depth" by S K Srivastava and Deepali Srivastava
“Data Structures Through C in Depth” Book Review: This book offers a clear and easy-to-understand explanation of the theory, providing step-by-step examples. It presents the concepts in a straightforward manner, accompanied by programming implementations. The book ensures a comprehensive understanding of each topic, including practical programming applications. It covers the fundamental elements of the C language, such as data structures, pointers, and arrays, along with their applications. Additionally, it delves into stack, queue, linked lists, recursion, sorting, trees, searching, hashing, graphs, and store management. The book includes relevant examples and exercises with concise solutions across its ten chapters. It caters to computer science Polytechnic and UG students at both beginner and advanced levels, serving as a supplementary text for advanced algorithm books. It is suitable for self-learning and is applicable to various academic programs, including B.E., B.Tech, DOEACC Society, and IGNOU.

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6."Data Structures and Algorithms" by AHO
“Data Structures and Algorithms” Book Review: This book is designed as a comprehensive resource for both undergraduate and graduate students. It focuses on the concept of “conceptual data types,” which enables readers to explore various implementations of the same idea. The book emphasizes algorithm design techniques and provides fundamental algorithm analysis. It serves as a textbook for the initial data structures and algorithms course, featuring a style and content relevant to modern programming. Prior familiarity with a high-level programming language like Pascal is assumed. The book covers a wide range of topics, offering a thorough and extensive coverage of the subject matter.

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7."Data Structure and Algorithm in C++" by Adam Drozdek
“Data Structure and Algorithm in C++” Book Review: This definitive guide, written by a team of experts, presents a fresh and innovative approach to data structures and algorithms in C++. It demystifies complex mathematical concepts, allowing you to gain a solid understanding of the subject. The book adopts an object-oriented design paradigm using C++, providing insights and analysis of key algorithms. With a multimedia format, it enables visualizing important mathematical concepts, exploring the latest insights, and engaging in data structure design. The book offers clear programming strategies, featuring a concise and accessible writing style that simplifies challenging mathematical ideas. Building on the success of the first edition, this new version provides an innovative approach to fundamental data structures and algorithms.

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8."Data Structures using C and C++" by Y Langsam
“Data Structures using C and C++” Book Review: This book explains the fundamentals of data structures and their application in problem-solving using a programming language. It explores the utilization of C language for advanced programming and covers the process of developing advanced features in C++. The text provides a systematic analysis of algorithms, guiding readers through step-by-step solutions for real-world problems. It comprehensively explains C++ classes, function members, inheritance, object orientation, and polymorphism. Additionally, the book includes thoroughly tested and debugged programs in C and C++, along with an example of implementing abstract data types in C++.

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9."Algorithms" by T H Cormen
“Introduction to Algorithms” Book Review: This book provides a comprehensive coverage of algorithm design and analysis. It is written in English and includes pseudo-code for improved understandability. The book features separate chapters on the role of algorithms, probabilistic analysis and randomized algorithms, and linear programming. It also explores advanced topics such as van Emde Boas trees, multithreaded algorithms, dynamic programming, and edge-based flow. An appendix on matrices, along with numerous examples and problems, is included for practice. This book is suitable for both students and professionals seeking a solid understanding of algorithms.

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10."Data Structures Using C and C++" by Y Langsam
Book Review: This book focuses on the fundamentals of data structures, emphasizing abstract concepts and their practicality in problem-solving. It elucidates the process of transforming abstractions into concrete implementations using a programming language and showcases the advanced features of C++. The book provides comprehensive coverage of the entire C++ language, including numerous tested and debugged programs in C and C++. It analyzes various algorithms, presenting step-by-step solutions to real-world problems. Additionally, the book explores concepts such as classes, function members, inheritance, abstract data types, and polymorphism.

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11."Data Structures" by Seymour Lipschutz
“Data Structures” Book Review: This book provides a comprehensive exploration of the essential theory of data structures, covering a wide range of topics such as strings, arrays, linked lists, stacks, queues, records & pointers, recursion, trees, graphs, sorting, and searching. It offers an extensive collection of problems and questions at different difficulty levels, facilitating effective practice. With numerous solved problems, examples, and practice exercises, this book is suitable for undergraduate students in computer science and related fields taking a course in Data Structures and Algorithms. It also serves as a valuable resource for individuals interested in learning DS Algo and professionals working in the field.

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12."Data Structures and Algorithms: Concepts - Techniques and Applications" by G A V Pai
“Data Structures and Algorithms: Concepts, Techniques, and Applications” Book Review: This book provides a comprehensive explanation of data structures and algorithms, focusing on concepts, techniques, and real-world applications. It adopts a language-independent approach, omitting any specific programming language. The inclusion of programming assignments and problems enhances the understanding of data structure implementation. Visual aids such as illustrations and schematic diagrams aid in conceptualization. Designed for undergraduate-level courses on data structures, this book serves as a valuable resource for students seeking a thorough understanding of the subject.

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13."Data Structure Through C" by Yashavant P Kanetkar
“Data Structures through C” Book Review: This book provides a comprehensive explanation of fundamental data structure principles using the C programming language. It covers key concepts such as arrays, algorithm analysis, strings, queues, trees, and graphs in depth. Numerous programming examples are included to enhance understanding of the core concepts. The accompanying CD contains well-designed animations that clarify complex procedures related to data structures discussed in the book. Targeted at students and computer professionals, this book serves as a valuable resource for gaining a solid understanding of data structures in the context of the C programming language.

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14."Data Structures and Algorithm Analysis in C" by Weiss
“Data Structures and Algorithm Analysis in C” Book Review: This book offers a comprehensive exploration of algorithms and data structures using the C and C++ programming languages. Starting with foundational concepts such as stacks, lists, queues, trees, and ADTs, readers will also learn how to optimize programs by analyzing algorithm feasibility before implementation. Dedicated chapters cover amortized analysis, as well as advanced data structures like the Fibonacci heap, binary heaps, sorting algorithms, and NP-completeness. Through detailed examples and illustrations, each algorithm type is systematically dissected, providing a thorough understanding of their inner workings. This book serves as an invaluable resource for mastering algorithms and data structures in C and C++.

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15."An Introduction to Data Structures and Algorithms (Progress in Theoretical Computer Science)" by J A Storer and John C Cherniavsky
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16."Algorithms and Data Structures: The Basic Toolbox" by Kurt Mehlhorn and Peter Sanders
“Algorithms and Data Structures: The Basic Toolbox” Book Review: This book is a valuable resource for computer scientists and professional programmers alike. It covers a wide range of topics, including efficient data organization, commonly used algorithms, and fundamental techniques for problem-solving. It serves as a guide for students and professionals with programming and mathematical knowledge. The book delves into arrays, linked lists, hash tables, sorting, graphs, and more. It explores algorithm engineering, memory hierarchies, and algorithm libraries. The content is explained using pictures, words, and pseudocode, with numerous exercises and examples. The book also includes theorems, proofs, and advanced solutions, providing a comprehensive understanding of algorithms and their applications.

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17."New Data Structures and Algorithms for Logic Synthesis and Verification" by Luca Gaetano Amaru
“New Data Structures and Algorithms for Logic Synthesis and Verification” Book Review: This book is a valuable resource for students seeking core knowledge in logics and algorithms. It provides comprehensive information on logic circuit properties, including logic primitives used in electronic design automation tools. The book also offers helpful tricks and techniques for enhancing logic representation, manipulation, and optimization tasks. Additionally, it covers EDA problems and their solutions. This book is an essential guide for students looking to gain a solid understanding of logics and algorithms.

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2. Analysis of Data Structures and Algorithms

 
1."Data Structures and Algorithms Made Easy: Data Structures and Algorithmic Puzzles" by Narasimha Karumanchi
“Data Structures and Algorithms Made Easy: Data Structures and Algorithmic Puzzles” Book Review: This book serves as a comprehensive guide for computer science professionals, providing solutions to intricate data structures and algorithms. Written in C/C++, it also acts as a valuable resource for interview and exam preparation. With its extensive solution bank, it offers assistance for challenging problems related to data structures and algorithms. The book covers a wide range of topics, including stacks, queues, trees, priority queues, heaps, and disjoint sets ADT. Additionally, it explores hashing, selection algorithms, and symbol tables, making it a valuable reference for practitioners in the field.

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2."Coding Interview Questions" by Narasimha Karumanchi
“Coding Interview Questions” Book Review: This book offers a solid foundation in programming, recursion, and backtracking. It covers essential topics such as linked lists, stacks, queues, trees, priority queues, and heaps. Additionally, the book delves into graph algorithms, sorting and searching, selection algorithms, symbol tables, hashing, string algorithms, greedy algorithms, dynamic programming, complexities, and design interview questions. It provides numerous solved examples, problems, and programs for practical understanding. Ideal for undergraduate students in computer science and related fields, as well as individuals seeking to learn data structures and algorithms, including working professionals.

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3."Introduction to Algorithms" by Thomas H Cormen and Charles E Leiserson
“Introduction to Algorithms” Book Review: This book strikes a balance between comprehensive coverage and reliability. It provides extensive coverage of various algorithms and makes their design and analysis accessible to readers of all levels. Each chapter can be studied independently as it is self-contained. The algorithms are explained in clear English and pseudocode, ensuring readability for those with basic programming knowledge. The book maintains a balance by presenting elementary descriptions without compromising on depth or mathematical rigor.

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4."Algorithms and Data Structures" by imusti
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3. Algorithms

 
1."Introduction to Algorithms" by T H Cormen and C L Leiserson
Book Review: This book offers a comprehensive collection of algorithms accompanied by detailed analysis and design that caters to readers of all levels. The inclusion of pseudo code makes it easily understandable for readers. It features chapters covering various topics such as linear programming, randomized algorithms, probabilistic analysis, and multithreaded algorithms. Additionally, the book presents enhanced algorithms on Dynamic Programming and Greedy Techniques. Special algorithms on string matching, computational geometry, and number theory are also included, making it a valuable resource for exploring diverse algorithmic areas.

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2."Algorithm Design" by J Kleinberg and E Tardos
Book Review: This book presents various approaches for problem identification in diverse computing applications, along with algorithm design techniques and efficient solutions. It establishes a connection between algorithmic ideas and the formulated problems, emphasizing the process of algorithmic design and analysis. Additionally, the book provides valuable insights into problem identification in complex scenarios across different computing domains, facilitating the development of effective algorithms for addressing those problems.

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3."Data Structures and Their Algorithms" by Harry R Lewis and Larry Denenberg
“Data Structures and Their Algorithms” Book Review: This book introduces techniques for efficiently managing and accessing data in digital computers, accompanied by mathematical analysis of these methods. The authors provide concise and accessible analyses, shedding light on the crucial performance aspects of the algorithms. To enhance comprehension, a pseudocode notation with a straightforward syntax has been adopted, making it easily understandable for programmers.

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4."Algorithmic Graph Theory" by A Gibbons
Book Review: This book explores both pure and applied graph theory, encompassing topics such as spanning trees, network flow, connectivity, traversals, and matching. It delves into various classical algorithms, emphasizing algorithmic principles and their computational complexity. The algorithms are classified into intractable ones and those with known efficient solutions. Additionally, the book provides efficient approximation algorithms for intractable problems. Algorithmic problems are described using programming languages like Pascal, enhancing the understanding and application of these concepts.

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5."Algorithm Design: Foundations, Analysis and Internet Examples" by Michael T Goodrich and Roberto Tamassia
Book Review: This textbook provides a modern perspective on computer algorithms and data structures, covering their introduction, design, implementation, and analysis. It offers a balanced approach, combining theoretical analysis techniques, algorithmic design patterns, and experimental methods for algorithm engineering. The content is organized into four units: fundamental tools, graph algorithms, internet algorithmics, and additional topics. The first section covers algorithm analysis, basic data structures, sorting, and fundamental techniques. The second section explores graphs, weighted graphs, network flow, and matching. The section on internet algorithmics discusses text processing, number theory, cryptography, and network algorithms. Additional topics include computational geometry, NP-completeness, and algorithmic frameworks. The book concludes with practical and theoretical techniques, along with experimental methods for algorithm engineering, accompanied by a bibliography and an index.

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6."The Algorithm Design Manual" by Steven S Skiena
“The Algorithm Design Manual” Book Review: This book aims to overview the process of identifying and handling essential algorithms. It is divided into two parts. The first part serves as a comprehensive guide to techniques for designing and analyzing computer algorithms. The second part acts as a reference, featuring a catalog of the top 75 algorithmic problems. Additionally, the book provides up-to-date links to the best algorithm implementations in C, C++, and Java, ensuring access to the most reliable and efficient solutions.

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7."Data Structures and Algorithms Made Easy: Data Structures and Algorithmic Puzzles" by Narasimha Karumanchi
“Data Structures and Algorithms Made Easy: Data Structures and Algorithmic Puzzle” Book Review: This book features numerous illustrations demonstrating data structure modifications and updates. Each chapter includes a problem section with relevant questions and solutions, including code snippets. It serves as a valuable resource for professionals seeking a quick review of important data structure concepts and implementations. With its comprehensive coverage and examples coded in C/C++, it is a useful guide for computer scientists preparing for interviews, exams, and practical work. It can also serve as a helpful handbook for individuals in the software engineering industry. The book addresses complex data structures and algorithmic problems, covering a wide range of topics such as recursion, linked lists, stacks, queues, trees, sorting, searching, and more. It offers a multitude of solved problems and exercises. Suitable for undergraduate students and working professionals in computer science and related fields, it serves as an excellent companion for learning data structures and algorithms.

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8."Grokking Algorithms: An illustrated guide for programmers and other curious people" by Aditya Bhargava
“Grokking Algorithms: An illustrated guide for programmers and other curious people” Book Review: This book serves as a user-friendly guide that equips you with the knowledge and skills to apply common algorithms to solve real-world programming challenges. With clear explanations and illustrative diagrams, each example is accompanied by fully annotated code samples in Python. By the time you finish reading this book, you will have a solid understanding of widely applicable algorithms and gain the ability to determine when and how to effectively utilize them in your programming tasks.

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9."Algorithms in a Nutshell: A Practical Guide" by George T Heineman and Gary Pollice
“Algorithms in a Nutshell: A Practical Guide” Book Review: This comprehensive book presents a wide array of proven algorithms that can effectively tackle diverse problem domains, empowering you to choose and implement the most suitable algorithm for your specific requirements. It offers efficient code solutions in multiple programming languages, allowing easy adaptation to your project. Each major algorithm is presented in a design pattern format, accompanied by valuable insights into its applicability and suitability for different scenarios, enabling you to grasp the underlying principles and make informed choices.

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10."Cracking the Coding Interview: 189 Programming Questions and Solutions" by Gayle Laakmann McDowell
“Cracking the Coding Interview: 189 Programming Questions and Solutions” Book Review: This comprehensive book equips you with the essential knowledge and skills to excel in your field, covering a wide range of topics from fundamental concepts to the most challenging algorithmic problems. It provides valuable techniques to help you excel in all aspects of the interview process, including the crucial soft skills. Drawing insights from renowned companies like Google and Facebook, this book offers invaluable insights into their developer hiring practices. With its strong technical focus, this book hones your software engineering skills, ensuring you are well-prepared for the demands of the industry.

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11."Randomized Algorithms" by Rajeev Motwani and Prabhakar Raghavan
Book Review: This book serves as an introductory guide to the fundamental concepts and theories necessary for designing and analyzing randomized algorithms. It offers algorithmic examples that demonstrate the practical application of these tools. Each chapter focuses on a specific domain where randomized algorithms are applicable, providing a comprehensive and diverse collection of algorithms relevant to those areas. With its value extending to graduate and undergraduate students, as well as researchers and professionals, this book serves as a valuable resource and reference for anyone seeking to delve into the realm of randomized algorithms.

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12."Online Computation and Competitive Analysis" by Allan Borodin and Ran El-Yaniv
Book Review: This book presents a detailed framework for competitive analysis, focusing on problem-solving and algorithm evaluation. It covers essential concepts, techniques, and examples, including list accessing, virtual memory paging, network routing, and load balancing. The book also introduces game theory and decision theory concepts. It is a valuable resource for researchers and graduate students in the field of operations research, offering a comprehensive exploration of competitive analysis and its applications.

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13."Distributed Algorithms" by Nancy Lynch
Book Review: This book explores the design, implementation, and analysis of distributed algorithms. It covers essential algorithms that have been proven correct and their complexity analyzed using defined measures. The topics discussed include resource allocation, distributed process consensus, data consistency, deadlock detection, and more. Additionally, the book provides mathematical tools for algorithm design and results, along with strategies for reasoning about algorithms, specifying their behavior, proving their correctness, and measuring their performance. It is a valuable resource for understanding distributed systems and developing efficient distributed algorithms.

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14."Data Structures and Network Algorithms" by Robert Endre Tarjan
Book Review: This book explores the rapid growth occurring in the field of combinatorial algorithms. It showcases how these algorithms leverage combinatorics, graph theory, and innovative data structures and technologies for algorithm analysis. The book focuses on four network optimization problems, delving into the development of relevant data structures and the analysis of their computational efficiency. By providing practical insights, the book equips readers with a solid understanding of data structures and network algorithms. It enables easy implementation, while fostering an appreciation for the intricacies and elegance of graph algorithms.

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15."An Introduction to Computational Learning Theory" by M Kearns and U Vazirani
Book Review: This book covers a wide range of topics in the field of computational learning theory, making it valuable for researchers and students in neural networks, artificial intelligence, statistics, and computer science theory. It explores formal models of induction, revealing underlying methods employed by efficient learning algorithms and identifying computational obstacles to learning. The book offers new proofs for established theorems and presents standard proofs as well. Additionally, it discusses various topics such as motivation, definitions, and basic results, which can have positive or negative implications. The equivalence of strong and weak learning, the relationship between learning and cryptography, limitations of efficient learning, and algorithms for finite automata learning are also presented in the book.

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16."Cracking the C, C++, and Java Interview " by S G Ganesh and Subhash K U
“Cracking the C, C++, and Java Interview” Book Review: This book organizes questions into three categories: multiple choice, programming aptitude, and programming theory. The questions and answers provided are of excellent quality, and the explanations are clear and concise. It covers a wide range of major interview questions and provides solutions that are commonly asked in tech companies.

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17."Introduction to Algorithms: A Creative Approach" by U Manber
“Introduction to Algorithms: A Creative Approach” Book Review: This book emphasizes the creative aspects of algorithm design, exploring techniques such as mathematical theorem proving using the induction method. It provides methods for designing combinatorial algorithms and offers a wealth of problems and examples. By engaging with this book, readers can enhance their problem-solving skills and develop a deeper understanding of the underlying principles of algorithm design.

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18."Algorithms" by Robert Sedgewick
“Algorithms” Book Review: This comprehensive book covers the essential computer algorithms, encompassing data structures, sorting, searching, graph processing, and string processing. It further highlights fifty key algorithms that are fundamental for every programmer’s repertoire. Designed for both professional programmers and computer science students, the book provides complete Java implementations, along with dynamic visualizations and lecture slides. Additionally, readers can access the related MOOC (Massive Open Online Course).

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19."Combinatorial Search: From Algorithms to Systems" by Youssef Hamadi
“Combinatorial Search: From Algorithms to Systems” Book Review: This book focuses on the knowledge dissemination in combinatorial search, covering a wide range of topics. The chapters include an Introduction, Boosting Distributed Constraint Networks, Parallel Tree Search for Satisfiability, Parallel Local Search for Satisfiability, Learning Variable Dependencies, Continuous Search, Autonomous Search, Conclusion, and Perspectives. Intended for researchers, practitioners, and graduate students in the fields of optimization, search, constraints, and computational complexity, this book offers valuable insights and expertise.

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20."Algorithms to Live By: The Computer Science of Human Decisions" by Brian Christian and Griffiths
“Algorithms to Live By: The Computer Science of Human Decisions” Book Review: This comprehensive book explores a wide range of topics, including optimal stopping, sorting, caching, scheduling, Bayes’s rule, overfitting, and relaxation. It also delves into the realms of randomness, networking, and game theory. With its focus on programming and algorithms, this book is a valuable resource for anyone seeking to enhance their knowledge in these areas.

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4. Fundamentals of Algorithms

 
1."Fundamental of Computer Algorithms" by Ellis Horowitz
“Fundamental of Computer Algorithms” Book Review: This book serves as a textbook for upper-level and graduate courses in algorithms, offering a comprehensive exploration of fundamental design techniques and computer algorithms. Through the use of illustrative examples, readers are able to grasp the concepts more effectively, enhancing their understanding of the subject matter.

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2."Fundamentals of Machine Learning for Predictive Data Analytics – Algorithms, Worked Examples, and Case Studies" by John D Kelleher and Brian Mac Namee
“Fundamentals of Machine Learning for Predictive Data Analytics – Algorithms, Worked Examples, and Case Studies” Book Review: This book explores machine learning for predictive data analysis, providing comprehensive coverage of essential approaches used in predictive data analytics. It offers a balance of theoretical concepts and practical applications, with worked examples showcasing various case studies. The book includes techniques for evaluating prediction models and presents real-world data analytics projects across different development stages. Primarily intended for undergraduate students in computer science, engineering, mathematics, or statistics, it also serves as a valuable resource for graduate students in these disciplines.

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3."Algorithms in C++: Fundamentals, Data Structures, Sorting, Searching" by Sedgewick
“Algorithms in C++: Fundamentals, Data Structures, Sorting, Searching” Book Review: This book is a comprehensive guide for programmers and computer science students. The book covers essential topics such as algorithm analysis, fundamental data structures, sorting algorithms, and searching algorithms. It provides clear explanations and practical examples in C++ programming language. The chapters are well-organized, allowing readers to grasp concepts progressively. The author’s expertise in the field is evident in the detailed discussions and insightful examples. This book serves as an invaluable resource for anyone looking to enhance their understanding of algorithms and their implementation in C++.

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4."Discrete Inverse Problems: Insight and Algorithms (Fundamentals of Algorithms)" by Per Christian Hansen
“Discrete Inverse Problems: Insight and Algorithms (Fundamentals of Algorithms)” Book Review: This book provides a practical approach to tackling inverse problems using numerical methods, emphasizing both the mathematical foundations and computational techniques. With the inclusion of tutorial exercises, readers can gain hands-on experience with various methods. Targeted at graduate students, researchers, and engineering professionals, the book equips readers with the necessary background knowledge to effectively solve basic inverse problems. Its comprehensive coverage of both mathematical and computational aspects makes it an invaluable resource for those seeking a deeper understanding of this field.

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5. Design and Analysis of Algorithms

 
1."Introduction to Algorithms (Eastern Economy Edition)" by Thomas H Cormen and Charles E Leiserson
“Introduction to Algorithms” Book Review: This comprehensive book provides an introduction to computer algorithms, covering design and analysis in a reader-friendly manner. The third edition includes new chapters on Van Emde Boas trees and Multithreaded Algorithms, as well as updated content on Recurrences. It explores topics such as sorting, data structures, advanced designs, graph algorithms, and more. Suitable for students and professionals, the book offers clear explanations and examples. It also addresses engineering and mathematical aspects of algorithm design. With solved examples and practice problems, this text is an invaluable resource. Organized into seven sections, it covers a wide range of algorithms while providing a mathematical background in the appendix.

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2."Design and Analysis of Computer Algorithms" by AHO
“The Design and Analysis of Computer Algorithms” Book Review: This textbook serves as a foundation for understanding basic data structures and programming techniques used in systematic algorithms. It explores fundamental algorithm concepts, including models of computation, efficient algorithm design, sorting and order statistics, data structures for set manipulation, graph algorithms, matrix operations, Fast Fourier Transform, integer and polynomial arithmetic, pattern matching, NP-complete problems, interactive problems, and lower bounds on arithmetic. With a bibliography and index, the book offers numerous additional problems and exercises to enhance learning and exam preparation. It provides students with a comprehensive understanding of algorithms and equips them with the necessary skills for practical implementation.

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3."Fundamentals of Computer Algorithms(second edition)" by Sahni Horowitz
“Fundamentals of Data Structures in C” Book Review: This book serves as a textbook for upper and graduate level courses in algorithms. Additionally, it serves as a comprehensive reference for professionals, offering an in-depth exploration of data structure implementation in ANSI C. The text covers a wide range of concepts, including stacks, queues, lists, search structures, and advanced tree structures. It also includes the latest variations of data structures such as fibonacci heaps, splay trees, red-black trees, 2-3 trees, 2-3-4 trees, leftist trees, binomial heaps, min-max heaps, and deaps. Each chapter provides clear explanations, solved algorithms, and additional questions for programming practice and exam preparation. The book emphasizes design techniques rather than focusing solely on individual algorithms.

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4."Introduction to the Design and Analysis of Algorithms" by Anany Levitin
“Introduction to the Design and Analysis of Algorithms” Book Review: This book is designed for those who are interested in learning algorithms. It introduces a new categorization of algorithm design techniques and provides a clear explanation of analysis methods. The book begins with a comprehensive introduction and then delves into a detailed study of each technique. Topics covered include brute force, divide-and-conquer, decrease-and-conquer, transform-and-conquer, space and time tradeoffs, dynamic programming, greedy technique, iterative improvement, limitations of algorithm power, and coping with those limitations. The text also includes popular puzzles to engage readers and enhance their computational problem-solving skills. Each chapter concludes with a summary, solution manual, and exercise hints.

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5."Design and Analysis of Algorithms" by S Sridhar
“Design and Analysis of Algorithms” Book Review: This textbook is highly recommended for students pursuing B.Tech/B.E (CSE/IT), M.Tech/M.E (CSE/IT), MCA, or M.Sc (CS/IT) degrees. It covers essential concepts related to algorithms, including an in-depth exploration of algorithm analysis frameworks, asymptotic notations, various sorting algorithms, recurrences, divide-and-conquer approach, dynamic programming, greedy algorithms, graph algorithms, backtracking, string matching, NP completeness, and NP-complete problems with accompanying proofs. The language used in this text is concise and accessible, with a particular emphasis on sorting algorithms, NP completeness, and approximation algorithms. It offers around 250 comprehensive examples, a reference table for algorithm time complexity, solved university question papers from the past three years, concise question-and-answer sections, and solved GATE question papers included as appendices at the end of the book.

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6."Design and Analysis of Algorithms" by Dave
“Design and Analysis of Algorithms” Book Review: This book is divided into two parts for clear organization. Part 1 focuses on algorithm design, covering topics such as problem-solving with computers, top-down design, iterative algorithm design considerations, computation models and design refinement, basic proof rules, design through proof rules, recursion-based design, divide-and-conquer methodology, greedy approaches, dynamic programming, backtracking, branch and bound methods, as well as natural algorithms like GA, ANN, SA, and TS. Part 2 delves into algorithm analysis, exploring efficiency, complexity calculations with examples, time-space trade-offs, tractable and non-tractable problems, selected NP and NP-complete problems, randomized and approximate algorithms, and formal specifications through model-oriented and algebraic approaches. The book concludes with a bibliography and five appendices.

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7."Design And Analysis of Algorithms" by Shewta Bajaj Mundra
“Design and Analysis of Algorithms” Book Review: This book offers a straightforward approach, making it highly recommended for practicing programmers. It starts with a comprehensive introduction to algorithms, followed by topics such as growth order, elementary data structures, divide-and-conquer strategy, greedy methods, dynamic programming, and NP-completeness. Each chapter provides an overview, a summary, and a selection of exercises to reinforce learning. To further aid students, the book includes a question bank for exam preparation and enhanced understanding of the material. Additionally, an appendix and an extensive bibliography with over 100 citations are provided, offering additional resources for deeper exploration.

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8."An Introduction to Parallel Computing: Design and Analysis of Algorithms" by GRAMA
“An Introduction to Parallel Computing: Design and Analysis of Algorithms” Book Review: This book offers a fundamental foundation in designing and analyzing parallel algorithms and programming using commercially available platforms. It covers principles of parallel algorithm design and explores various parallel programming methods, including MPI, POSIX threads, and OpenMP. Divided into three sections—basics, parallel programming, and parallel algorithms and applications—it delves into topics such as parallel programming platforms, algorithm design principles, analytical modeling of parallel programs, and basic communication operations in Part 1. Part 2 focuses on parallel programming paradigms, programming shared address space platforms, and programming message passing platforms. Part 3 covers diverse algorithms such as dense matrix algorithms, sorting, graph algorithms, discrete optimization problems, dynamic programming, fast Fourier transform, and solving sparse systems of linear equations. Each chapter concludes with practice problems to reinforce algorithm understanding.

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6. Advance Algorithmic Analysis

 
1."GIS Algorithms (SAGE Advances in Geographic Information Science and Technology Series)" by Ningchuan Xiao
“GIS Algorithms (SAGE Advances in Geographic Information Science and Technology Series)” Book Review: This book is a valuable resource for GIS programmers seeking to enhance their skills in geographical analysis. It explores a wide range of geographical algorithms for vector and point-based analysis, as well as network travel analysis. With a focus on integrating GIS functions into Python software, this book covers essential topics such as geometric algorithms, spatial indexing, spatial analysis, and modeling. Readers will benefit from the inclusion of Python examples and student exercises, allowing them to apply their knowledge effectively and gain hands-on experience in GIS programming.

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2."Guide to Medical Image Analysis: Methods and Algorithms (Advances in Computer Vision and Pattern Recognition)" by Klaus D Toennies
“Guide to Medical Image Analysis: Methods and Algorithms (Advances in Computer Vision and Pattern Recognition)” Book Review: This book is for students who have completed courses on medical image analysis, as well as professionals in the fields of medical imaging technology and computer science. It serves as a comprehensive guide to understanding medical image analysis, covering topics such as common imaging techniques, reconstruction methods, and image artifacts. Additionally, it delves into techniques for enhancing contrast and edges, while also explaining the HL7 and DICOM standards. The book further explores object detection, segmentation techniques, and methods for computing normalization transformations. Each chapter is accompanied by learning objectives, exercises, and insightful remarks to aid comprehension.

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3."System Theory, the Schur Algorithm and Multidimensional Analysis (Operator Theory: Advances and Applications)" by Victor Vinnikov and Daniel Alpay
“System Theory, the Schur Algorithm and Multidimensional Analysis (Operator Theory: Advances and Applications)” Book Review: This book compiles the articles presented at the workshop on multidimensional generalizations and related topics, providing an overview of the current developments in operator theory and system theory. The discussions encompass various subjects, including Schur analysis, canonical forms for pairs of quaternionic matrices, algebras of functions of continuous functions, and more. Electrical engineers and theoretical physicists will find this book particularly beneficial, as it offers valuable insights and applications within their respective fields.

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4."Advances in Gabor Analysis (Applied and Numerical Harmonic Analysis)" by Hans G Feichtinger and Thomas Strohmer
“Advances in Gabor Analysis (Applied and Numerical Harmonic Analysis)” Book Review: This book is a valuable resource for students, researchers, and professionals in mathematical physics, applied mathematics, and electrical and communication engineering. It covers developments in Gabor analysis and its applications in digital and wireless communications. The book discusses uncertainty principles for time-frequency representations, Zak transforms, Gabor multipliers, Gabor analysis, and operator algebras. It provides a wide range of topics and applications related to Gabor analysis.

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5."Vulnerability Analysis and Defense for the Internet (Advances in Information Security)" by H Joseph and B Singh
“Vulnerability Analysis and Defense for the Internet (Advances in Information Security)” Book Review: This advanced-level secondary textbook in computer science offers a comprehensive analysis of protocols and concepts related to reverse engineering. It delves into the process of identifying vulnerabilities in applications and examines the impact of these vulnerabilities on software. The book explores the intricate theory and complexity surrounding vulnerabilities, while also categorizing security holes in computer systems and networks. Additionally, it provides pseudocode and flowcharts to aid in the identification of vulnerabilities.

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6."Recent Advances in Algorithms and Combinatorics (CMS Books in Mathematics)" by Bruce A Reed and Claudia L Linhares-Sales
“Recent Advances in Algorithms and Combinatorics (CMS Books in mathematics)” Book Review: This book is a comprehensive resource designed for researchers in the fields of combinatorics, graph theory, and theoretical computer science. It delves into the latest advancements in algorithmics and combinatorics, providing a thorough understanding of the subject. With a particular focus on the search for patterns in DNA and protein sequences, it explores the application of these concepts to biological data analysis. Additionally, the book covers the theory of semi-definite programming and its significant role in combinatorial optimization. It also addresses algorithmic aspects of tree decompositions and their relevance to database theory.

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7."Advances in Classification and Data Analysis (Studies in Classification, Data Analysis, and Knowledge Organization)" by Roberto Rocci and Simone Borra
“Advances in Classification and Data Analysis (Studies in Classification, Data Analysis, and Knowledge Organization)” Book Review: This book explores recent advancements in classification and multivariate analysis, encompassing topics such as discriminant analysis, proximity analysis, multidimensional scaling, and more. It presents new methods and algorithms within modern statistics, showcasing their practical applications. Researchers and applied statisticians will find this book valuable in staying abreast of the latest developments in the field and utilizing these innovative approaches in their work.

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8."Advances in Algorithms, Languages, and Complexity" by Ding-Zhu Du and Ker-I Ko
“Advances in Algorithms, Languages, and Complexity” Book Review: This book comprises survey papers that highlight the latest advancements in algorithms and formal languages, as well as papers focusing on computational complexity. It serves as a valuable resource for students and researchers in the field of algorithm analysis and computational complexity, providing insights into cutting-edge research and facilitating a deeper understanding of these subjects.

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9."Introduction to Design and Analysis of Algorithms (Anna University)" by Anany Levitin
“Introduction to Design and Analysis of Algorithms (Anna University)” Book Review: This book is specifically designed for computer science engineering students, following the syllabus of Anna University. It focuses on the design and analysis of algorithms, covering both recursive and non-recursive approaches. The fundamentals of algorithm efficiency analysis are explained, including topics such as brute force and exhaustive search. The book also discusses the limitations of algorithms and offers strategies to overcome them. To enhance the learning experience, it incorporates puzzles and games. Additionally, the book provides chapter summaries, exercises, and practice questions.

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7. Computer Programming and Algorithms

 
1."Introduction to Algorithms and Java" by Thomas H Cormen
Book Review: This book successfully balances rigor and comprehensiveness, making it suitable for readers of all levels. It incorporates numerous algorithms that aid in understanding the design and analysis processes. The inclusion of pseudo code makes it accessible to readers with basic programming knowledge. Furthermore, the book introduces newer chapters on algorithm roles, randomized algorithms, probabilistic analysis, and linear programming. Two additional chapters are dedicated to trees and multithreaded algorithms. To further enhance learning, the book offers new exercises and problems for practice.

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2."Data Structures Algorithms and Object Oriented Programming" by G L Heileman
Book Review: This book is highly suitable for the data structures course intended for computer science and engineering majors. It effectively utilizes C++ and object-oriented programming techniques to impart knowledge of data structures. The inclusion of concrete examples of object-oriented programming greatly benefits students’ understanding. Furthermore, it serves as an excellent reference book for professionals in the field. The book covers dynamic programming and greedy algorithms methodologies and offers an innovative approach to fundamental data structures and algorithms.

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3."Data Structures and Algorithms" by Alfred V Aho Jeffrey Ullman
Book Review: This book covers a range of concepts related to data structures through an informal understanding of abstract data types. It enables readers to compare different implementations of data structures and algorithms, fostering a deeper understanding of their variations. The book emphasizes algorithmic design techniques and provides a foundation in basic algorithm analysis. The majority of programs in the book are written using Pascal. Additionally, it presents an innovative approach to fundamental data structures and algorithms.

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4."Data Structures and Algorithms in C++" by Michael T Goodrich
Book Review: This updated textbook in the field of data structures and algorithms offers a straightforward explanation of complex mathematical concepts, facilitating a clear understanding of data structures and algorithms in C++. The book employs visualizations to illustrate key analytical concepts and presents clear approaches for program development. Its unique format provides an effective means of learning the fundamentals of data structures and algorithms. Additionally, the book’s distinctive writing style breaks down even the most challenging mathematical concepts, making them more accessible to readers.

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5."Guide to Programming and Algorithms Using R" by Ergul
“Guide to Programming and Algorithms Using R” Book Review: This book comprehensively covers all the fundamental concepts of programming and algorithms. It provides detailed explanations of topics such as loops, recursion, program and algorithm efficiency and accuracy, sorting, linear systems of equations, and file processing. Each chapter concludes with a wealth of exercises, allowing readers to practice and reinforce their understanding. Additionally, the book includes three mini projects for self-assessment purposes. The content presented in this book is applicable to various programming languages, making it valuable for undergraduate students studying programming and algorithms across different courses and disciplines.

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6."Game Programming Algorithms and Techniques: A Platform-Agnostic Approach" by Sanjay Madhav
“Game Programming Algorithms and Techniques: A Platform-Agnostic Approach” Book Review: This book delves into fundamental and contemporary techniques for working with 2D and 3D graphics, physics, artificial intelligence, and cameras in the context of game development. Topics covered include game time management, speed control, vectors, matrices, linear algebra for 3D games, coordinate spaces, lighting and shading, z-buffering, quaternions, sound events, 3D audio, digital signal processing, collision detection, numeric integration, pathfinding, state-based behaviors, planning, and basics of networked games including protocols and network topology. Pseudocode is used to explain these concepts, making them applicable to various programming languages. Furthermore, the book provides detailed analysis of two complete games—a 2D iOS side-scroller and a 3D PC/Mac/Linux tower defense game. Each chapter concludes with review questions to reinforce understanding and address reader queries.

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7."Stochastic Linear Programming Algorithms" by Mayer
“Stochastic Linear Programming Algorithms” Book Review: The book starts by introducing algorithms, unified approaches to decomposition methods, and their regularized counterparts. The subsequent section focuses on the computer implementation of these methods, along with a description of the testing environment that utilizes a model management system. Topics covered in the book include regularized decomposition, stochastic decomposition, successive discrete approximation methods for two-stage problems, cutting plane methods, and a reduced gradient method for jointly chance constrained problems. Additionally, the book compares computational results obtained from different solution techniques for stochastic programming.

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8."The Art of Computer Programming: Combinatorial Algorithms" by Donald E Knuth
“The Art of Computer Programming: Combinatorial Algorithms” Book Review: The book starts by laying a solid foundation in programming and algorithms, starting from the basics. It provides detailed discussions on broadword computation and combinatorial generation. Each chapter delves into various topics, including the enumeration of fundamental combinatorial objects such as permutations, partitions, and trees. The book also addresses the challenges encountered in research. Additionally, it highlights contemporary topics like binary decision diagrams. Abundant examples, exercises, and problems are presented throughout the book, along with solutions or hints to aid readers in their understanding.

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9."A Concise and Practical Introduction to Programming Algorithms in Java" by Nielsen Frank
“A Concise and Practical Introduction to Programming Algorithms in Java” Book Review: This book provides a comprehensive introduction to algorithms in Java, covering the basic concepts and fundamental principles. It clearly explains the process of translating algorithms into Java programs. Topics discussed include essential notions such as variables, expressions, and assignments with type checking, conditional and loop statements, functions with pass-by-value and pass-by-reference arguments, recursion, fundamental search techniques like sequential and bisection search, as well as basic iterative and recursive sorting algorithms. The book includes numerous examples and exercises, making it suitable for self-study and self-assessment purposes.

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10."Scientific Programming: C-Language, Algorithms and Models in Science" by Sapienza and Giovanni Organtini
“Scientific Programming: C-Language, Algorithms and Models in Science” Book Review: The book explores the fundamentals and syntactic aspects of the C language, with a focus on algorithms used in scientific applications such as searching, graphs, statistics, equation solving, and Monte Carlo methods. It emphasizes the translation of algorithms into error-free computer programs. The book equips readers with the ability to analyze scientific problems and develop C-language programs to solve them. It is a valuable resource for students seeking to enhance their proficiency in advanced C-language for their respective fields.

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8. Programming and Data Structures

 
1."The C Programming Language" by Brian W Kernighan and Dennis M Ritchie
Book Review: This book serves as a comprehensive guide to the ANSI standard C programming language. It emphasizes the set of operators available in C, types of expressions, enhanced control flow, and data structures. Numerous examples and problem sets are included to elucidate the implementation of challenging language constructs. Additionally, the book features well-structured and efficient programs. A well-designed reference manual is also provided, covering syntax notation, declarations, ANSI changes, scope rules, and more. This book proves invaluable for individuals utilizing ANSI compilers, offering substantial assistance in their work.

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2."Programming in ANSI C" by E Balaguruswamy
Book Review: This book offers a straightforward presentation of the fundamentals of the C programming language. Each chapter focuses on specific learning objectives, and concludes with a set of review questions and programming exercises. The book effectively illustrates various language features through numerous examples. Real-life applications of C programming are also provided to enhance understanding. The integration of different features of the C language is demonstrated in the creation of complete programs. Additionally, chapters covering program design and development, program efficiency, and error handling and debugging are included.

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3."Schaum's Outline of Programming with C" by Byron Gottfried
Book Review: The book comprehensively explains the commonly used features of the C programming language while emphasizing the significance of clear, readable, and efficient program design. It is beneficial for beginners as well as experienced professionals. Each chapter concludes with a set of review questions and drill programs, allowing readers to assess their understanding of the material. Additionally, the book encompasses the latest advancements in the field of C programming, ensuring that readers are up-to-date with the current developments.

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4."Data Structures" by Seymour Lipschutz
“Data Structures” Book Review: This book is a comprehensive guide for students and professionals seeking a solid understanding of data structures. The book covers essential topics such as arrays, linked lists, stacks, queues, trees, graphs, and sorting algorithms. Each chapter provides clear explanations, step-by-step examples, and practice problems to reinforce learning. With its practical approach, the book equips readers with the skills needed to design efficient and optimized data structures. Whether you’re a beginner or an experienced programmer, this book serves as an invaluable resource for mastering data structures and enhancing your programming abilities.

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5."Fundamentals of Data Structures in C" by Ellis Horowitz
“Fundamentals of Data Structures in C” Book Review: The book offers a thorough and technical introduction to various data structures, including arrays, stacks, queues, linked lists, trees, and graphs, as well as fundamental techniques like sorting and hashing. Moreover, it covers advanced and specialized data structures such as priority queues, efficient binary search trees, multiway search trees, and digital search structures, providing a comprehensive understanding of the subject matter.

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6."How to Solve it by Computer" by R G Dromey
Book Review: The book covers a range of general and mathematical techniques aimed at problem solving. It covers computer problem solving basics, recursive algorithms, factoring methods, array techniques, merging, sorting, searching, dynamic data structures, and algorithms. The content is presented in a reader-friendly manner, facilitating a quick understanding of the concepts. Additionally, the book provides numerous problems and questions that cater to the readers’ needs, reinforcing their comprehension of the material.

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7."Data Structures : A Programming Approach with C 2nd Edition" by Dharmender Singh Kushwaha and Arun Kumar Misra
“Data Structures : A Programming Approach with C 2nd Edition” Book Review: This well-organized book provides a comprehensive exploration of data structures, employing the C programming language. It starts by covering the essentials of C and proceeds to delve into crucial topics including Pointers, Arrays, Linked lists, Stacks, Queues, Trees, Heaps, Graphs, and Files. The author further elucidates important concepts such as memory management, dynamic arrays, and dynamic strings, supplementing explanations with relevant examples. With the aid of over 500 figures, this book adeptly illustrates various algorithms and concepts, ensuring a clear understanding for readers. Ideal for both beginners and experienced programmers, it serves as an indispensable resource for mastering data structures

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8."Applied Data Structures With C++" by Smith
“Applied Data Structures With C++” Book Review: This book offers a practical approach to understanding data structures using the C++ programming language. The book covers a wide range of topics, including arrays, linked lists, stacks, queues, trees, graphs, and hashing. Each chapter provides clear explanations and examples, allowing readers to grasp the concepts easily. The book also emphasizes the practical applications of data structures and includes exercises to reinforce learning. With its comprehensive coverage and hands-on approach, “Applied Data Structures With C++” is an invaluable resource for students and professionals seeking to enhance their understanding of data structures.

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9. Computers Programming and Data Structure

 
1."Data Structures Using C" by Reema Thareja
“Data Structures Using C” Book Review: The book begins with an introduction to C programming and subsequently delves into various topics such as arrays, strings, linked lists, stacks and queues, trees, heaps, and graphs. It offers a wide range of exercises, solved examples, problems, and multiple-choice questions (MCQs) at the end of each chapter. Designed for undergraduate students in computer science and related fields taking a course in Data Structures and Algorithms, it is also suitable for individuals seeking to learn DS Algo and working professionals.

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2."Data Structures and Algorithms for GATE: Solutions to All Previous GATE Questions Since 1991" by Narasimha Karumanchi
“Data Structures and Algorithms for GATE: Solutions to All Previous GATE Questions Since 1991” Book Review: The book explores various data structures including linked lists, stacks, queues, trees, recursions, and backtracking. It also delves into algorithmic topics such as searching, sorting, graph algorithms, string algorithms, hashing techniques, symbol tables, dynamic programming, divide and conquer algorithms, and greedy algorithms. Additionally, it features a compilation of GATE questions spanning from 1991 to 2010. Designed for undergraduate students in computer science and related fields taking a course in Data Structures and Algorithms, it also serves as a valuable resource for those preparing for GATE examinations.

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3."Data Structures Using C" by Balagurusamy
“Data Structures Using C” Book Review: The book comprehensively covers data structures and algorithms in C, including topics such as arrays, strings, linked lists, stacks, queues, trees, heaps, and graphs. It offers numerous exercises, solved examples, and problems at the end of each chapter to enhance understanding and practical application. Designed for undergraduate students in computer science and related disciplines taking a course in Data Structures and Algorithms, it is also beneficial for anyone seeking to learn data structures and algorithms, as well as working professionals in the field.

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10. Data and File Structures

 
1."MCS-021 Data And File Structures" by Dinesh Verma and Vijay Singhal
“MCS-021 Data And File Structures” Book Review: This book is divided into five chapters covering data and file structures: Analysis of Algorithm, Data Structure, Advanced Data Structure, Searching & Sorting, and File Organization. The chapters are presented as concise notes, serving as a valuable resource for students preparing for competitive exams. Additionally, the book includes solved and unsolved multiple-choice questions from previous years’ examinations. Designed to support first and second-year undergraduate students, this helpful guidebook provides comprehensive assistance in understanding and mastering the subject matter.

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2."Computer Science With C++ Concepts File Handling Data Structures - Vol. I and II" by Sumita Arora
“Computer Science With C++ Concepts File Handling Data Structures – Vol. I and II” Book Review: This comprehensive book serves as a detailed guide to C++ concepts, providing a solid foundation for learning this programming language. It covers the fundamental lessons of C++ and includes in-depth information on Data Structures and File Handling. The book presents data in a clear and schematic manner, making it easily accessible for students to grasp key concepts. Furthermore, it features visual representations of various buses and circuits, enhancing the learning experience. Designed for students and teachers of computer science programs, this book is a valuable resource for mastering C++ and its related topics.

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3."Data and File Structures" by Zakiya Malek
“Data and File Structures” Book Review: This book explores various types of data structures using the C language. Each chapter provides a systematic approach to developing algorithms and implementing data structures. The book covers essential data structures such as arrays, linked lists, stacks, queues, trees, and graphs, employing visual aids for enhanced understanding. Sorting and searching techniques are covered extensively, while advanced topics including trees, hashing, and file organization are also addressed. Solved and unsolved problems are included to illustrate the concepts and facilitate better comprehension for undergraduate, postgraduate, and diploma-level students studying computer applications, computer science, and computer engineering.

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4."Data and File Structure (GTU)" by Rohit Khurana
“Data and File Structure (GTU)” Book Review: This book provides a comprehensive overview of data and file structures using C. It starts with an introduction to data structures, covering important concepts in data management. The book then delves into linear data structures like arrays, stacks, structures, queues, and linked lists, along with their practical applications. Non-linear data structures such as trees and graphs, including their applications, are discussed in detail. The text also explores hashing and file structures, including collision-resolution techniques and file organization. Primarily designed for undergraduate students of computer engineering at Gujarat Technological University (GTU), this book offers a thorough understanding of data and file structures in the context of C programming.

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5."Data Management and File Structures" by Loomis
“Data Management and File Structures” Book Review: This book emphasizes the theoretical concepts and practical applications of data management and file structures. It covers the principles of data management and file processing in a comprehensive manner, providing readers with an understanding of the evolving technology of information handling. The book also introduces readers to the mathematical aspects of data management and file structures. It is intended for undergraduate, postgraduate, and diploma level students studying computer applications, computer science, and computer engineering.

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6."Data Structures And Files" by S K Gondhalekar and V J Dharkar
“Data Structures And Files” Book Review: This book provides a comprehensive study of data structures and files. It is divided into six chapters for easy comprehension. Chapter 1 introduces the necessary background information to understand the importance of studying data structures. Chapter 2 focuses on linear data structures, while Chapter 3 covers important nonlinear structures. Advanced data structures like balanced search trees and heaps are explained in detail in Chapter 4. The book includes algorithms for performing operations on these data structures to offer practical knowledge to the students. It is a valuable resource for data scientists, undergraduate and graduate students studying computer engineering and computer science.

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7."Data Structure and Files" by Rajesh Shukla
“Data Structure and Files” Book Review: This book focuses on developing programming and algorithm analysis skills to enable readers to design highly efficient programs. The use of C language allows for versatile implementation of basic data structures. The book provides numerous application-based programming examples to enhance concept clarity. Each chapter concludes with a summary and exercises to test students’ understanding. Additionally, university question papers with answers are included to help students prepare for exams. With its relevance to computer science programs, this book is valuable for both students and teachers in the field.

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8."Data and File Structures Using C" by Reema Thareja
“Data and File Structures Using C” Book Review: This book explores different types of data structures using the C language. Each chapter offers a systematic approach to developing algorithms and implementing data structures. Various types of data structures, including arrays, linked lists, stacks, queues, trees, and graphs, are discussed with visual aids. The book provides comprehensive coverage of sorting and searching techniques. Advanced topics such as advanced tree structures and hashing are also addressed. Additionally, the book covers file organizations. Solved and unsolved problems are included to enhance understanding and illustrate key concepts. This book is valuable for data analysts, as well as students and teachers in the field of computer engineering.

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9."The Design and Implementation of a Log-structured file system (The Springer International Series in Engineering and Computer Science)" by Mendel Rosenblum
“The Design and Implementation of a Log-structured file system (The Springer International Series in Engineering and Computer Science)” Book Review: This book focuses on the impact of technological changes on computer systems research. It explores how these changes affect the characteristics of hardware components and the need for developing new techniques to address these challenges. The book addresses various issues, including the unbalanced scaling of hardware technologies, and provides insights into overcoming these challenges. It is a valuable resource for students, teachers, data scientists, and developers in the fields of computer science and technology.

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10."Files and Data Structures with Cobol" by James R Mensching
“Files and Data Structures with Cobol” Book Review: This book focuses on the developing files and data structures using Cobol programming. It begins with easy-to-understand examples and gradually delves into programming intricacies. The book offers a balanced mix of theoretical concepts and practical applications to enhance the readers’ understanding. It also provides comprehensive explanations of advanced data structures like balanced search trees and heaps. Furthermore, the book equips students with practical knowledge by providing algorithms for performing operations on these data structures. It is a valuable resource for data scientists, undergraduate, and graduate students studying computer engineering and computer science.

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We have put a lot of effort into researching the best books on Data Structure and Algorithms and came out with a recommended list and their reviews. If any more book needs to be added to this list, please email us. We are working on free pdf downloads for books on Data Structure and Algorithms and will publish the download link here. Fill out this Data Structure and Algorithms books pdf download" request form for download notification.

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Manish Bhojasia - Founder & CTO at Sanfoundry
Manish Bhojasia, a technology veteran with 20+ years @ Cisco & Wipro, is Founder and CTO at Sanfoundry. He lives in Bangalore, and focuses on development of Linux Kernel, SAN Technologies, Advanced C, Data Structures & Alogrithms. Stay connected with him at LinkedIn.

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