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This book is the second edition of a text designed for undergraduate engineering courses in Data Structures. The treatment of the subject matter in this second edition maintains the same general philosophy as in the first edition but with significant additions. These changes are designed to improve the readability and understandability of all algorithms so that the students acquire a firm grasp of the key concepts. This book is recommended in Assam Engineering College, Assam, Girijananda Chowdhury Institute of Management and Technology, Assam, Supreme Knowledge Foundation Group, West Bengal, West Bengal University of Technology (WBUT) for B.Tech. The book provides a complete picture of all important data structures used in modern programming practice. It shows :  various ways of representing a data structure  different operations to manage a data structure  several applications of a data structure The algorithms are presented in English-like constructs for ease of comprehension by students, though all of them have been implemented separately in C language to test their correctness. Key Features :  Red-black tree and spray tree are discussed in detail  Includes a new chapter on Sorting  Includes a new chapter on Searching  Includes a new appendix on Analysis of Algorithms for those who may be unfamiliar with the concepts of algorithms  Provides numerous section-wise assignments in each chapter  Also included are exercises—Problems to Ponder—in each chapter to enhance learning The book is suitable for students of : (i) computer science (ii) computer applications (iii) information and communication technology (ICT) (iv) computer science and engineering.
Thes book has three key features : fundamental data structures and algorithms; algorithm analysis in terms of Big-O running time in introducied early and applied throught; pytohn is used to facilitates the success in using and mastering data strucutes and algorithms.
The design and analysis of efficient data structures has long been recognized as a key component of the Computer Science curriculum. Goodrich, Tomassia and Goldwasser's approach to this classic topic is based on the object-oriented paradigm as the framework of choice for the design of data structures. For each ADT presented in the text, the authors provide an associated Java interface. Concrete data structures realizing the ADTs are provided as Java classes implementing the interfaces. The Java code implementing fundamental data structures in this book is organized in a single Java package, net.datastructures. This package forms a coherent library of data structures and algorithms in Java specifically designed for educational purposes in a way that is complimentary with the Java Collections Framework.
Algorithms and data structures are much more than abstract concepts. Mastering them enables you to write code that runs faster and more efficiently, which is particularly important for today’s web and mobile apps. Take a practical approach to data structures and algorithms, with techniques and real-world scenarios that you can use in your daily production code, with examples in JavaScript, Python, and Ruby. This new and revised second edition features new chapters on recursion, dynamic programming, and using Big O in your daily work. Use Big O notation to measure and articulate the efficiency of your code, and modify your algorithm to make it faster. Find out how your choice of arrays, linked lists, and hash tables can dramatically affect the code you write. Use recursion to solve tricky problems and create algorithms that run exponentially faster than the alternatives. Dig into advanced data structures such as binary trees and graphs to help scale specialized applications such as social networks and mapping software. You’ll even encounter a single keyword that can give your code a turbo boost. Practice your new skills with exercises in every chapter, along with detailed solutions. Use these techniques today to make your code faster and more scalable.
This well-organized book, now in its second edition, discusses the fundamentals of various data structures using C as the programming language. Beginning with the basics of C, the discussion moves on to describe Pointers, Arrays, Linked lists, Stacks, Queues, Trees, Heaps, Graphs, Files, Hashing, and so on that form the base of data structure. It builds up the concept of Pointers in a lucid manner with suitable examples, which forms the crux of Data Structures. Besides updated text and additional multiple choice questions, the new edition deals with various classical problems such as 8-queens problem, towers of Hanoi, minesweeper, lift problem, tic-tac-toe and Knapsack problem, which will help students understand how the real-life problems can be solved by using data structures. The book exhaustively covers all important topics prescribed in the syllabi of Indian universities/institutes, including all the Technical Universities and NITs. Primarily intended as a text for the undergraduate students of Engineering (Computer Science/Information Technology) and postgraduate students of Computer Application (MCA) and Computer Science (M.Sc.), the book will also be of immense use to professionals engaged in the field of computer science and information technology. Key Features • Provides more than 160 complete programs for better understanding. • Includes over 470 MCQs to cater to the syllabus needs of GATE and other competitive exams. • Contains over 500 figures to explain various algorithms and concepts. • Contains solved examples and programs for practice. • Provides companion CD containing additional programs for students’ use.
This second edition of the book allows students to undertake a complete study of C, including the fundamental concepts, programming, problem solving, and the data structures. The book is also structured to provide a general introduction to computer concepts before undertaking a detailed treatment of the C programming language. To that end, the book is eminently suitable for the first-year engineering students of all branches, as per the prescribed syllabus of several universities, for a course on Computer Concepts and C Programming. Besides, the book fully caters to the needs of the students pursuing undergraduate and postgraduate courses in general streams such as computer science, information science, computer applications (BCA and MCA) and information technology. Written in an engaging style, the book builds the students’ C programming skills by using a wide variety of easy-to-understand examples, illustrating along the way the development of programming constructs and logic for writing high-quality programs. The book also develops the concepts and theory of data structures in C, such as files, pointers, structures, and unions, using innumerable examples. The worked examples, in the form of programs and program segments, are illustrated with outputs of sample runs. A chapter on Computer Graphics is provided to give the students a feel of how C language is used for display of graphics and animation. An exclusive chapter on advanced concepts such as enumerated data types, bitwise operators and storage classes is included in sufficient detail to help students progress to writing practical and real-world applications. Besides, a new chapter presents a “C” quiz comprising of 100 objective type questions that help readers to test their C skills.
Data Structures & Theory of Computation
Explore data structures and algorithm concepts and their relation to everyday JavaScript development. A basic understanding of these ideas is essential to any JavaScript developer wishing to analyze and build great software solutions. You'll discover how to implement data structures such as hash tables, linked lists, stacks, queues, trees, and graphs. You'll also learn how a URL shortener, such as bit.ly, is developed and what is happening to the data as a PDF is uploaded to a webpage. This book covers the practical applications of data structures and algorithms to encryption, searching, sorting, and pattern matching. It is crucial for JavaScript developers to understand how data structures work and how to design algorithms. This book and the accompanying code provide that essential foundation for doing so. With JavaScript Data Structures and Algorithms you can start developing your knowledge and applying it to your JavaScript projects today. What You'll Learn Review core data structure fundamentals: arrays, linked-lists, trees, heaps, graphs, and hash-tableReview core algorithm fundamentals: search, sort, recursion, breadth/depth first search, dynamic programming, bitwise operators Examine how the core data structure and algorithms knowledge fits into context of JavaScript explained using prototypical inheritance and native JavaScript objects/data types Take a high-level look at commonly used design patterns in JavaScript Who This Book Is For Existing web developers and software engineers seeking to develop or revisit their fundamental data structures knowledge; beginners and students studying JavaScript independently or via a course or coding bootcamp.
This updated text, now in its Third Edition, continues to provide the basic concepts of discrete mathematics and its applications at an appropriate level of rigour. The text teaches mathematical logic, discusses how to work with discrete structures, analyzes combinatorial approach to problem-solving and develops an ability to create and understand mathematical models and algorithms essentials for writing computer programs. Every concept introduced in the text is first explained from the point of view of mathematics, followed by its relation to Computer Science. In addition, it offers excellent coverage of graph theory, mathematical reasoning, foundational material on set theory, relations and their computer representation, supported by a number of worked-out examples and exercises to reinforce the students’ skill. Primarily intended for undergraduate students of Computer Science and Engineering, and Information Technology, this text will also be useful for undergraduate and postgraduate students of Computer Applications. New to this Edition Incorporates many new sections and subsections such as recurrence relations with constant coefficients, linear recurrence relations with and without constant coefficients, rules for counting and shorting, Peano axioms, graph connecting, graph scanning algorithm, lexicographic shorting, chains, antichains and order-isomorphism, complemented lattices, isomorphic order sets, cyclic groups, automorphism groups, Abelian groups, group homomorphism, subgroups, permutation groups, cosets, and quotient subgroups. Includes many new worked-out examples, definitions, theorems, exercises, and GATE level MCQs with answers.