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Chargement... Data Structures and Algorithms in Javapar Michael T. Goodrich, Roberto Tamassia (Auteur)
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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 and Tomassia'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. Aucune description trouvée dans une bibliothèque |
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Google Books — Chargement... GenresClassification décimale de Melvil (CDD)005.73Information Computing and Information Computer programming, programs, data, security Data Data StructuresClassification de la Bibliothèque du CongrèsÉvaluationMoyenne:
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Judging by the older reviews below, he was right - the book I read seems to bear little if any resemblance to the one denounced by the other reviewers. I found it clear and readable, though it was rather basic and dry. But then, I wasn't expecting great literature - this is a introductory compsci textbook, after all. Though it could be dull at times, it generally managed to get its information across clearly, which is all it needs to do. There were some typos, of course, though probably not more than should be expected to accompany such a major revision. The book's main flaw was an index that had essentially no relation to the actual text itself. A corrected index is available at the book's Web site.
In terms of organization, Goodrich and Tamassia start off with a brief introduction to Java, object oriented design and a brief and very basic discussion of running time and asymptotic analysis. They then work their way through basic data structures and abstract data types - stacks, queues, vectors, lists, trees (general, binary, and binary search), priority queues, heaps, dictionaries, hash tables and graphs. They discuss the structures' purposes and major operations, analyze the operations' running times, and include decent, heavily-documented Java implementations of some of the structures and methods. They also do some stuff with algorithms, though generally nothing very complex or sophisticated. I used this book in an introductory data structures course at a liberal arts college, which managed to cover pretty much everything in the book with little difficulty.
There are a lot of exercises at the end of each chapter. Goodrich and Tamassia divide them up into progressively more complex "Reinforcement", "Creativity" and "Projects" sections. My instructor preferred to assign problems and programming assignments of his own creation, though, so I don't know how helpful or useful the exercises in the book actually are.
All in all, it seem Goodrich and Tamassia noticed the sort of reviews the earlier editions of this book were getting and took steps to correct the many problems they had. I expect that if you have to use the book in a data structures course, you'll find it at least reasonably clear and generally acceptable. As long as you're using the third edition, that is. ( )