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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Bibliografische Details

Titel: Data Structures and Algorithms in Java
Verlag: Wiley 0
Erscheinungsjahr: 2014
Sprache: Englisch
ISBN-10: 1118771338
ISBN-13: 9781118771334
Einband: Softcover
Zustand: Used - Very Good

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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.

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