Data structures and algorithm in java goodrich and tamassia

Data structures and algorithms in Java

«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»—Publisher’s website

Includes bibliographical references (pages 710-713) and index

Java primer — Object-oriented design — Fundamental data structures — Algorithm analysis — Recursion — Stacks, queues, and deques — List and iterator ADTs — Trees — Priority queues — Maps, hash tables, and skip lists — Search trees — Sorting and selection — Text processing — Graph algorithms — Memory management and B-trees

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Data Structures and Algorithms in Java

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.

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Об авторе (2014)

Michael Goodrich received his Ph.D. in Computer Science from Purdue University in 1987. He is currently a professor in the Department of Computer Science at John Hopkins University, and codirector of the Johns Hopkins Center for Algorithms Engineering. He is an editor for the International Journal of Computational Geometry & Applications, Journal of Computational and System Sciences, and Journal of Graph Algorithms and Applications.

Roberto Tamassia received his Ph.D. in Electrical and Computer Engineering from the University of Illinois at Urbana-Champaign in 1988. He is currently a professor in the Department of Computer Science at Brown University. He is also an editor for Computational Geometry: Theory and Applications, and the Journal of Graph Algorithms and Applications, and previously served on the editorial board of IEEE Transactions on Computers.

Michael Goldwasser, PhD in Computer Science from Stanford University, 1997; Associate Professor and Director of CS at St. Louis University; author of Object-Oriented Programming in Python, Pearson, 2008.

Библиографические данные

Название	Data Structures and Algorithms in Java
Авторы	Michael T. Goodrich , Roberto Tamassia , Michael H. Goldwasser
Издание:	6
Издатель	John Wiley & Sons, 2014
ISBN	1118771338, 9781118771334
Количество страниц	Всего страниц: 736
&nbsp	&nbsp
Экспорт цитаты	BiBTeX EndNote RefMan

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Data Structures and Algorithms in Java

The third edition of this conceptually elegant and pedagogically innovative text continues to incorporate the object-oriented design paradigm, using Java as the implementation language, while also providing intuition and analysis of fundamental data structures and algorithms. All of this is done in a clear, friendly writing style that uses visuals to introduce and simplify important analytic and mathematical concepts.
* Entirely new chapter on recursion
* Additional exercises on the analysis of simple algorithms
* New case study on parenthesis matching and HTML validation

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Об авторе (2004)

Professors Goodrich and Tamassia are well-recognized researchers in algorithms and data structures, having published many papers in this field, with applications to Internet computing, information visualization, computer security, and geometric computing. They have served as principal investigators in several joint projects sponsored by the National Science Foundation, the Army Research Office, and the Defense Advanced Research Projects Agency. They are also active in educational technology research, with special emphasis on algorithm visualization systems.

Michael Goodrich received his Ph.D. in computer science from Purdue University in 1987. He is currently a professor in the Department of Computer Science at University of California, Irvine. Previously, he was a professor at Johns Hopkins University. He is an editor for the International Journal of Computational Geometry & Applications and Journal of Graph Algorithms and Applications.

Roberto Tamassia received his Ph.D. in Electrical and Computer Engineering from the University of Illinois at Urbana-Champaign in 1988. He is currently a professor in the Department of Computer Science at Brown University. He is editor-in-chief for the Journal of Graph Algorithms and Applications and an editor for Computational Geometry: Theory and Applications. He previously served on the editorial board of IEEE Transactions on Computers.

In addition to their research accomplishments, the authors also have extensive experience in the classroom. For example, Dr. Goodrich has taught data structures and algorithms courses, including Data Structures as a freshman-sophomore level course and Introduction to Algorithms as an upper level course. He has earned several teaching awards in this capacity. His teaching style is to involve the students in lively interactive classroom sessions that bring out the intuition and insights behind data structuring and algorithmic techniques. Dr. Tamassia has taught Data Structures and Algorithms as an introductory freshman-level course since 1988. One thing that has set his teaching style apart is his effective use of interactive hypermedia presentations integrated with the Web.

The instructional Web sites, datastructures.net and algorithmdesign.net, supported by Drs. Goodrich and Tamassia are used as reference material by students, teachers, and professionals worldwide.

Библиографические данные

Название	Data Structures and Algorithms in Java
Авторы	Michael T. Goodrich , Roberto Tamassia
Издание:	3, иллюстрированное
Издатель	Wiley, 2004
Владелец оригинала:	Калифорнийский университет
Оцифровано	19 ноя 2009
ISBN	0471469831, 9780471469834
Количество страниц	Всего страниц: 681
&nbsp	&nbsp
Экспорт цитаты	BiBTeX EndNote RefMan

Источник

Data structures and algorithms in Java

Java programming — Object-oriented design — Analysis tools — Stacks, queues, and deques — Vectors, lists, and sequences — Trees — Priority queues — Dictionaries — Search trees — Sorting, sets, and selection — Text processing — Graphs — Useful mathematical facts

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Data structures and algorithms in Java

Data Structures and Algorithms in Java incorporates the object-oriented design paradigm using Java as the implementation language, while also providing the fundamental intuition and analysis of each structure studied

Includes bibliographical references (pages 717-724) and index

System requirements: CD-ROM drive

Design principles — Analysis tools — Stacks, queues, and linked lists

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