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Introducing Data Structures With Java
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Book Synopsis Introducing Data Structures with Java by : David Cousins
Download or read book Introducing Data Structures with Java written by David Cousins and published by Pearson Education India. This book was released on 2011 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introducing Data Structures with Java sets out to provide a firm understanding of dealing with arrays, lists, queues, stacks, binary trees and graphs, and with algorithms for operations such as searching and sorting. Practical implementation, to promote sound understanding, is a key feature, and many example programs are developed, using a clear design process; full source code listings are supplied in each chapter and all of the programs are supplied on the CD-ROM. Download Companion Content: http://www.pearsoned.co.in/prc/book/david-cousins-introducing-data-structures-with-java-1e--1/9788131758649.
Book Synopsis An Introduction to Data Structures and Algorithms with Java by : Glenn W. Rowe
Download or read book An Introduction to Data Structures and Algorithms with Java written by Glenn W. Rowe and published by Prentice Hall. This book was released on 1998 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt: L.T.C. Rolt was one of a small group of amateur railwaymen who made their dream of running their own railway come true. His vivid and often amusing account of this unique achievement is a record of individual enterprise and creative effort as refreshing as it is rare. Established by Act of Parliament in 1865 and unaffected by mergers and ......
Book Synopsis Data Structures and Program Design Using Java by : D. Malhotra
Download or read book Data Structures and Program Design Using Java written by D. Malhotra and published by . This book was released on 2020-02-28 with total page 430 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data structures provide a means to managing large amounts of information such as large databases, usingSEO effectively, and creating Internet/Web indexing services. This book isdesigned to present fundamentals of data structures for beginners using the Javaprogramming language in a friendly, self-teaching format. Practical analogiesusing real world applications are integrated throughout the text to explaintechnical concepts. The book includes a variety of end-of-chapter practiceexercises, e.g., programming, theoretical, and multiple-choice. Features: Covers data structure fundamentals using Java Numerous tips, analogies, and practical applications enhance understanding of subjects under discussion "Frequently Asked Questions" integrated throughout the text clarify and explain concepts Includes a variety of end-of-chapter exercises, e.g., programming, theoretical, and multiple choice
Book Synopsis A Concise Introduction to Data Structures using Java by : Mark J. Johnson
Download or read book A Concise Introduction to Data Structures using Java written by Mark J. Johnson and published by CRC Press. This book was released on 2013-11-18 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: A student-friendly text, A Concise Introduction to Data Structures Using Java takes a developmental approach, starting with simpler concepts first and then building toward greater complexity. Important topics, such as linked lists, are introduced gradually and revisited with increasing depth. More code and guidance are provided at the beginning, allowing students time to adapt to Java while also beginning to learn data structures. As students develop fluency in Java, less code is provided and more algorithms are outlined in pseudocode. The text is designed to support a second course in computer science with an emphasis on elementary data structures. The clear, concise explanations encourage students to read and engage with the material, while partial implementations of most data structures give instructors the flexibility to develop some methods as examples and assign others as exercises. The book also supplies an introductory chapter on Java basics that allows students who are unfamiliar with Java to quickly get up to speed. The book helps students become familiar with how to use, design, implement, and analyze data structures, an important step on the path to becoming skilled software developers.
Book Synopsis Data Structures and Algorithms in Java by : Michael T. Goodrich
Download or read book Data Structures and Algorithms in Java written by Michael T. Goodrich and published by John Wiley & Sons. This book was released on 2014-01-28 with total page 736 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Open Data Structures written by Pat Morin and published by Athabasca University Press. This book was released on 2013 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction -- Array-based lists -- Linked lists -- Skiplists -- Hash tables -- Binary trees -- Random binary search trees -- Scapegoat trees -- Red-black trees -- Heaps -- Sorting algorithms -- Graphs -- Data structures for integers -- External memory searching.
Book Synopsis Object-Oriented Data Structures Using Java by : Nell Dale
Download or read book Object-Oriented Data Structures Using Java written by Nell Dale and published by Jones & Bartlett Publishers. This book was released on 2012 with total page 823 pages. Available in PDF, EPUB and Kindle. Book excerpt: Continuing the success of the popular second edition, the updated and revised Object-Oriented Data Structures Using Java, Third Edition is sure to be an essential resource for students learning data structures using the Java programming language. It presents traditional data structures and object-oriented topics with an emphasis on problem-solving, theory, and software engineering principles. Beginning early and continuing throughout the text, the authors introduce and expand upon the use of many Java features including packages, interfaces, abstract classes, inheritance, and exceptions. Numerous case studies provide readers with real-world examples and demonstrate possible solutions to interesting problems. The authors' lucid writing style guides readers through the rigor of standard data structures and presents essential concepts from logical, applications, and implementation levels. Key concepts throughout the Third Edition have been clarified to increase student comprehension and retention, and end-of-chapter exercises have been updated and modified. New and Key Features to the Third Edition: -Includes the use of generics throughout the text, providing the dual benefits of allowing for a type safe use of data structures plus exposing students to modern approaches. -This text is among the first data structures textbooks to address the topic of concurrency and synchonization, which are growing in the importance as computer systems move to using more cores and threads to obtain additional performance with each new generation. Concurrency and synchonization are introduced in the new Section 5.7, where it begins with the basics of Java threads. -Provides numerous case studies and examples of the problem solving process. Each case study includes problem description, an analysis of the problem input and required output, and a discussion of the appropriate data structures to use. -Expanded chapter exercises allow you as the instructor to reinforce topics for your students using both theoretical and practical questions. -Chapters conclude with a chapter summary that highlights the most important topics of the chapter and ties together related topics.
Book Synopsis Think Data Structures by : Allen Downey
Download or read book Think Data Structures written by Allen Downey and published by "O'Reilly Media, Inc.". This book was released on 2017-07-07 with total page 157 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you’re a student studying computer science or a software developer preparing for technical interviews, this practical book will help you learn and review some of the most important ideas in software engineering—data structures and algorithms—in a way that’s clearer, more concise, and more engaging than other materials. By emphasizing practical knowledge and skills over theory, author Allen Downey shows you how to use data structures to implement efficient algorithms, and then analyze and measure their performance. You’ll explore the important classes in the Java collections framework (JCF), how they’re implemented, and how they’re expected to perform. Each chapter presents hands-on exercises supported by test code online. Use data structures such as lists and maps, and understand how they work Build an application that reads Wikipedia pages, parses the contents, and navigates the resulting data tree Analyze code to predict how fast it will run and how much memory it will require Write classes that implement the Map interface, using a hash table and binary search tree Build a simple web search engine with a crawler, an indexer that stores web page contents, and a retriever that returns user query results Other books by Allen Downey include Think Java, Think Python, Think Stats, and Think Bayes.
Book Synopsis Beginning Java Data Structures and Algorithms by : James Cutajar
Download or read book Beginning Java Data Structures and Algorithms written by James Cutajar and published by Packt Publishing Ltd. This book was released on 2018-07-30 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt: Though your application serves its purpose, it might not be a high performer. Learn techniques to accurately predict code efficiency, easily dismiss inefficient solutions, and improve the performance of your application. Key Features Explains in detail different algorithms and data structures with sample problems and Java implementations where appropriate Includes interesting tips and tricks that enable you to efficiently use algorithms and data structures Covers over 20 topics using 15 practical activities and exercises Book Description Learning about data structures and algorithms gives you a better insight on how to solve common programming problems. Most of the problems faced everyday by programmers have been solved, tried, and tested. By knowing how these solutions work, you can ensure that you choose the right tool when you face these problems. This book teaches you tools that you can use to build efficient applications. It starts with an introduction to algorithms and big O notation, later explains bubble, merge, quicksort, and other popular programming patterns. You’ll also learn about data structures such as binary trees, hash tables, and graphs. The book progresses to advanced concepts, such as algorithm design paradigms and graph theory. By the end of the book, you will know how to correctly implement common algorithms and data structures within your applications. What you will learn Understand some of the fundamental concepts behind key algorithms Express space and time complexities using Big O notation. Correctly implement classic sorting algorithms such as merge and quicksort Correctly implement basic and complex data structures Learn about different algorithm design paradigms, such as greedy, divide and conquer, and dynamic programming Apply powerful string matching techniques and optimize your application logic Master graph representations and learn about different graph algorithms Who this book is for If you want to better understand common data structures and algorithms by following code examples in Java and improve your application efficiency, then this is the book for you. It helps to have basic knowledge of Java, mathematics and object-oriented programming techniques.
Book Synopsis Data Structures and Algorithms Using Java by : William McAllister
Download or read book Data Structures and Algorithms Using Java written by William McAllister and published by Jones & Bartlett Learning. This book was released on 2009 with total page 598 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Structures & Theory of Computation
Book Synopsis Data Structures, Algorithms, and Software Principles in C by : Thomas A. Standish
Download or read book Data Structures, Algorithms, and Software Principles in C written by Thomas A. Standish and published by Pearson. This book was released on 1995 with total page 778 pages. Available in PDF, EPUB and Kindle. Book excerpt: Using C, this book develops the concepts and theory of data structures and algorithm analysis in a gradual, step-by-step manner, proceeding from concrete examples to abstract principles. Standish covers a wide range of both traditional and contemporary software engineering topics. The text also includes an introduction to object-oriented programming using C++. By introducing recurring themes such as levels of abstraction, recursion, efficiency, representation and trade-offs, the author unifies the material throughout. Mathematical foundations can be incorporated at a variety of depths, allowing the appropriate amount of math for each user.
Book Synopsis Guide to Data Structures by : James T. Streib
Download or read book Guide to Data Structures written by James T. Streib and published by Springer. This book was released on 2017-12-30 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: This accessible and engaging textbook/guide provides a concise introduction to data structures and associated algorithms. Emphasis is placed on the fundamentals of data structures, enabling the reader to quickly learn the key concepts, and providing a strong foundation for later studies of more complex topics. The coverage includes discussions on stacks, queues, lists, (using both arrays and links), sorting, and elementary binary trees, heaps, and hashing. This content is also a natural continuation from the material provided in the separate Springer title Guide to Java by the same authors.Topics and features: reviews the preliminary concepts, and introduces stacks and queues using arrays, along with a discussion of array-based lists; examines linked lists, the implementation of stacks and queues using references, binary trees, a range of varied sorting techniques, heaps, and hashing; presents both primitive and generic data types in each chapter, and makes use of contour diagrams to illustrate object-oriented concepts; includes chapter summaries, and asks the reader questions to help them interact with the material; contains numerous examples and illustrations, and one or more complete program in every chapter; provides exercises at the end of each chapter, as well as solutions to selected exercises, and a glossary of important terms. This clearly-written work is an ideal classroom text for a second semester course in programming using the Java programming language, in preparation for a subsequent advanced course in data structures and algorithms. The book is also eminently suitable as a self-study guide in either academe or industry.
Book Synopsis Data Structures with Java by : William H. Ford
Download or read book Data Structures with Java written by William H. Ford and published by Prentice Hall. This book was released on 2005 with total page 1023 pages. Available in PDF, EPUB and Kindle. Book excerpt: This modern object-oriented approach to data structures helps readers gain an integrated understanding of data structures and their applications. Carefully developing topics with sufficient detail, this book enables users to learn about concepts on their own; clarity of presentation and depth of coverage makes this a perfect learning tool for professionals.It includes a solid introduction to algorithms, an integral part of understanding the subject, and uses Java syntax and structure in the design of data structures. Its breadth of coverage insures that core topics such as linked lists, sets, maps, and iterators are carefully and comprehensively discussed.For computer programmers, computer analysts, and information technology professionals.
Download or read book Java Collections written by David A. Watt and published by John Wiley & Sons. This book was released on 2001-03-30 with total page 572 pages. Available in PDF, EPUB and Kindle. Book excerpt: A unique, practical approach to working with collection classes in Java 2 Software developers new to Java will find the practical, software-engineering based approach taken by this book extremely refreshing. With an emphasis more on software design and less on theory, Java Collections explores in detail Java 2 collection classes, helping programmers choose the best collection classes for each application they work on. Watt and Brown explore abstract data types (ADTs) that turn up again and again in software design, using them to provide context for the data structures required for their implementation and the algorithms associated with the data structures. Numerous worked examples, several large case studies, and end-of-chapter exercises are also provided.
Book Synopsis Data Structures and Algorithms in Java by : Michael T. Goodrich
Download or read book Data Structures and Algorithms in Java written by Michael T. Goodrich and published by Wiley Global Education. This book was released on 2014-03-27 with total page 738 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis A Practical Guide to Data Structures and Algorithms using Java by : Sally. A Goldman
Download or read book A Practical Guide to Data Structures and Algorithms using Java written by Sally. A Goldman and published by CRC Press. This book was released on 2007-08-23 with total page 1056 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although traditional texts present isolated algorithms and data structures, they do not provide a unifying structure and offer little guidance on how to appropriately select among them. Furthermore, these texts furnish little, if any, source code and leave many of the more difficult aspects of the implementation as exercises. A fresh alternative to
Book Synopsis A Practical Introduction to Data Structures and Algorithm Analysis by : Clifford A. Shaffer
Download or read book A Practical Introduction to Data Structures and Algorithm Analysis written by Clifford A. Shaffer and published by . This book was released on 2001 with total page 536 pages. Available in PDF, EPUB and Kindle. Book excerpt: This practical text contains fairly "traditional" coverage of data structures with a clear and complete use of algorithm analysis, and some emphasis on file processing techniques as relevant to modern programmers. It fully integrates OO programming with these topics, as part of the detailed presentation of OO programming itself.Chapter topics include lists, stacks, and queues; binary and general trees; graphs; file processing and external sorting; searching; indexing; and limits to computation.For programmers who need a good reference on data structures.
