Java Data Structures And Programming
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Java: Data Structures and Programming
Author: Liwu Li
language: en
Publisher: Springer Science & Business Media
Release Date: 2012-12-06
This book is written for practitioners of software development and for students of computer science who are interested in using the Java language to construct data structures. The book assumes general knowledge of computer programming but no experience of Java programming or object modeling for the readers. It intro duces the Java language and object model by going through examples of data modeling. The book emphasizes programming skills for developing various types of data structure and fundamental techniques for complexity analysis. The program ming skills are necessary for software development. The analysis techniques are needed to ensure performance of programs. The author has been responsible for teaching a data structure course for years. The book carries out his expectations for proficiency in both programming and complexity analysis from students. Several features of the book distinguish it from other books on data struc tures. A challenge for the book is relating the complexity analysis to the Java Virtual Machine, which isolates Java programmers from platform issues. The book devotes a chapter to discuss the structure of Java class files and the Java Virtual Machine. The book presents the problem of maximum flow and imple ments algorithms in Java to evaluate maximum flow for networks. It introduces persistent data structures, which may be included by some practitioners in their projects.
Data Structures Using Java
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.
Guide to Data Structures
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.