Data Structures and Algorithms in Java

Data Structures and Algorithms in Java PDF

Author: Michael T. Goodrich

Publisher: John Wiley & Sons

Published: 2014-01-28

Total Pages: 736

ISBN-13: 1118771338

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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.

Object-Oriented Data Structures Using Java

Object-Oriented Data Structures Using Java PDF

Author: Nell Dale

Publisher: Jones & Bartlett Publishers

Published: 2012

Total Pages: 823

ISBN-13: 1449613543

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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.

Data Structures, Algorithms, and Software Principles in C

Data Structures, Algorithms, and Software Principles in C PDF

Author: Thomas A. Standish

Publisher: Pearson

Published: 1995

Total Pages: 778

ISBN-13:

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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.

Data Structures and Algorithms in Java

Data Structures and Algorithms in Java PDF

Author: Michael T. Goodrich

Publisher: Wiley Global Education

Published: 2014-03-27

Total Pages: 738

ISBN-13: 1118803167

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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.

Beginning Java Data Structures and Algorithms

Beginning Java Data Structures and Algorithms PDF

Author: James Cutajar

Publisher: Packt Publishing Ltd

Published: 2018-07-30

Total Pages: 196

ISBN-13: 1789533759

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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.

Classic Data Structures in Java

Classic Data Structures in Java PDF

Author: Timothy Budd

Publisher: Addison Wesley

Published: 2001

Total Pages: 630

ISBN-13:

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With this book, Tim Budd looks at data structures by providing a solid foundation on the ADT, and uses the graphical elements found in Java when possible. The beginning chapters provide the foundation on which everything else will be built. These chapters define the essential concept of the abstract data type (ADT), and describe the tools used in the evaluation and analysis of data structures. The book moves on to provide a detailed description of the two most important fundamental data abstractions, the vector and the linked list, providing an explanation of some of the more common variations on these fundamental ideas. Next, the material considers data structures applicable to problems in which the order that values are added to a collection is important, followed by a consideration of the various different ways in which binary trees are used in the creation of data structures. The last few chapters consider a sequence of more advanced data structures. Most are constructed as adaptors built on top of earlier abstractions. Hash tables are introduced first as a technique for implementing simple collections, and later as a tool for developing efficient maps. Lastly, the graph data type is considered. Here there are several alternative data structures presentations in common use, and the emphasis in this chapter is more on the development and analysis of useful algorithms than on any particular data structure.

Think Data Structures

Think Data Structures PDF

Author: Allen Downey

Publisher: "O'Reilly Media, Inc."

Published: 2017-07-07

Total Pages: 157

ISBN-13: 1491972343

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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.

Open Data Structures

Open Data Structures PDF

Author: Pat Morin

Publisher: Athabasca University Press

Published: 2013

Total Pages: 336

ISBN-13: 1927356385

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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.

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