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Author: Sivakumar R D
Publisher: 978-93-340-0295-9
ISBN: 9789334002959
Category : Computers
Languages : en
Pages : 0
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Book Description
Welcome to "Effective Data Structure Implementation in Java." This book is designed to be your comprehensive guide to mastering the art of implementing data structures efficiently and effectively in the Java programming language. Data structures are the backbone of software development, providing a fundamental framework for organizing and managing data in a way that optimizes performance and facilitates seamless operations. In Java, a language renowned for its robustness and versatility, leveraging the power of data structures is essential for creating scalable, maintainable, and high-performance applications. This book aims to bridge the gap between theoretical knowledge of data structures and their practical implementation in Java. Whether you are a student learning the foundations of computer science, a professional software developer, or someone looking to enhance their Java programming skills, this book is tailored to meet your needs. Key Features: Comprehensive Coverage: Explore a wide range of data structures, including arrays, linked lists, stacks, queues, trees, heaps, graphs, and hash tables. Each chapter provides in-depth explanations, real-world examples, and practical implementation techniques. Hands-On Examples: Gain hands-on experience with code snippets and complete implementations of data structures. Understand the nuances of selecting and implementing the right data structure for specific scenarios. Performance Optimization: Learn optimization techniques and best practices for achieving optimal performance in terms of time and space complexity. Understand the impact of different data structures on algorithmic efficiency. Problem-Solving Strategies: Develop problem-solving skills by tackling coding exercises and challenges related to each data structure. Strengthen your understanding through a series of progressively challenging exercises. Real-World Applications: Explore real-world applications and case studies where effective data structure implementation plays a crucial role. Understand how to choose the right data structure based on the requirements of your application. Advanced Topics: Delve into advanced topics such as algorithm analysis, design patterns, and concurrent data structures. Expand your knowledge and explore cutting-edge developments in the field. As you embark on this journey through the world of data structures in Java, remember that the ability to implement them effectively is a valuable skill that can significantly impact the quality and efficiency of your software. I encourage you to actively engage with the content, experiment with the provided code, and apply your newfound knowledge to real-world projects. Happy coding!.
Author: Sivakumar R D
Publisher: 978-93-340-0295-9
ISBN: 9789334002959
Category : Computers
Languages : en
Pages : 0
Get Book Here
Book Description
Welcome to "Effective Data Structure Implementation in Java." This book is designed to be your comprehensive guide to mastering the art of implementing data structures efficiently and effectively in the Java programming language. Data structures are the backbone of software development, providing a fundamental framework for organizing and managing data in a way that optimizes performance and facilitates seamless operations. In Java, a language renowned for its robustness and versatility, leveraging the power of data structures is essential for creating scalable, maintainable, and high-performance applications. This book aims to bridge the gap between theoretical knowledge of data structures and their practical implementation in Java. Whether you are a student learning the foundations of computer science, a professional software developer, or someone looking to enhance their Java programming skills, this book is tailored to meet your needs. Key Features: Comprehensive Coverage: Explore a wide range of data structures, including arrays, linked lists, stacks, queues, trees, heaps, graphs, and hash tables. Each chapter provides in-depth explanations, real-world examples, and practical implementation techniques. Hands-On Examples: Gain hands-on experience with code snippets and complete implementations of data structures. Understand the nuances of selecting and implementing the right data structure for specific scenarios. Performance Optimization: Learn optimization techniques and best practices for achieving optimal performance in terms of time and space complexity. Understand the impact of different data structures on algorithmic efficiency. Problem-Solving Strategies: Develop problem-solving skills by tackling coding exercises and challenges related to each data structure. Strengthen your understanding through a series of progressively challenging exercises. Real-World Applications: Explore real-world applications and case studies where effective data structure implementation plays a crucial role. Understand how to choose the right data structure based on the requirements of your application. Advanced Topics: Delve into advanced topics such as algorithm analysis, design patterns, and concurrent data structures. Expand your knowledge and explore cutting-edge developments in the field. As you embark on this journey through the world of data structures in Java, remember that the ability to implement them effectively is a valuable skill that can significantly impact the quality and efficiency of your software. I encourage you to actively engage with the content, experiment with the provided code, and apply your newfound knowledge to real-world projects. Happy coding!.
Author: Michael T. Goodrich
Publisher: John Wiley & Sons
ISBN: 1118771338
Category : Computers
Languages : en
Pages : 736
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Book Description
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.
Author: Elliot B. Koffman
Publisher: John Wiley & Sons
ISBN: 0470128704
Category : Computers
Languages : en
Pages : 833
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Book Description
This book lays the foundation for programmers to build their skills. The focus is placed on how to implement effective programs using the JCL instead of producing mathematical proofs. The coverage is updated and streamlined to provide a more accessible approach to programming. They’ll be able to develop a thorough understanding of basic data structures and algorithms through an objects-first approach. Data structures are discussed in the context of software engineering principles. Updated case studies also show programmers how to apply essential design skills and concepts.
Author: Mark Allen Weiss
Publisher: Addison Wesley Publishing Company
ISBN:
Category : Computer algorithms
Languages : en
Pages : 1484
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Book Description
As the speed and power of computers increases, so does the need for effective programming and algorithm analysis. By approaching these skills in tandem, Mark Allen Weiss teaches readers to develop well-constructed, maximally efficient programs in Java.A full language update to Java 5.0 throughout the text--particularly its use of generics--adds immeasurable value to this advanced study of data structures and algorithms. This Second Edition features integrated coverage of the Java Collections Library as well as a complete revision of lists, stacks, queues, and trees.Weiss clearly explains topics from binary heaps to sorting to NP-completeness, and dedicates a full chapter to amortized analysis and advanced data structures and their implementation. Figures and examples illustrating successive stages of algorithms contribute to Weiss' careful, rigorous and in-depth analysis of each type of algorithm. A logical organization of topics and full access to source code compliment the text's coverage.
Author: Sally. A Goldman
Publisher: CRC Press
ISBN: 1420010336
Category : Computers
Languages : en
Pages : 1056
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Book Description
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
Author: Robert Lafore
Publisher: Sams Publishing
ISBN:
Category : Algorithms
Languages : en
Pages : 570
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Book Description
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Author: Yedidyah Langsam
Publisher: Prentice Hall
ISBN:
Category : Computers
Languages : en
Pages : 696
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Book Description
This book employs an object-oriented approach to teaching data structures using Java. Many worked examples and approximately 300 additional examples make this book easily accessible to the reader. Most of the concepts in the book are illustrated by several examples, allowing readers to visualize the processes being taught. Introduces abstract concepts, shows how those concepts are useful in problem solving, and then shows the abstractions can be made concrete by using a programming language. Equal emphasis is placed on both the abstract and the concrete versions of a concept, so that the reader learns about the concept itself, its implementation, and its application. For anyone with an interest in learning more about data structures.
Author: Pat Morin
Publisher: Athabasca University Press
ISBN: 1927356385
Category : Computers
Languages : en
Pages : 336
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Book Description
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.
Author: Frank M. Carrano
Publisher: Addison-Wesley Longman
ISBN:
Category : Data structures (Computer science)
Languages : en
Pages : 920
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Book Description
The second edition, in Java, of the classic Walls and Mirrors approach to programming designs solutions to problems using both data abstraction (the walls) and recursion (the Mirrors).Data Abstraction and Problem Solving with Java: Walls and Mirrors, 2eprovides a focus on the important concepts of data abstraction and data structures in a way that beginning programmers find accessible. The first part of the book covers problem-solving techniques including a review of Java fundamentals, principles of programming and software engineering, recursion and data abstraction, and linked lists. Later chapters focus on problem solving with abstract data types including stacks, queues, algorithm efficiency and sorting, trees, and graphs. This edition contains enhanced material on OO implementation. MARKET: Readers searching for problem solving solutions through abstraction, algorithmic refinement, data structures and recursion.
Author: Timothy Budd
Publisher: Addison Wesley
ISBN:
Category : Computers
Languages : en
Pages : 630
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Book Description
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.
