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Programming Java Structures: Data Structures in Java for the Principled Programmer (2nd edition)

Posted on 2010-03-16




Name:Programming Java Structures: Data Structures in Java for the Principled Programmer (2nd edition)
ASIN/ISBN:0072399090
Language:English
File size:5.21 Mb
Publisher: McGraw-Hill Science/Engineering/Math
ISBN: 0072399090
Publish Date: edition 2002-07-26
File Type: PDF
Pages: 528 pages
File Size: 5,21 mb
   Programming Java Structures: Data Structures in Java for the Principled Programmer (2nd edition)

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Java Structures: Data Structures in Java for the Principled Programmer (2nd edition)

The second edition of Duane Bailey's Java Structures considers the design, implementation, and use of data structures using Java 2. The structure package, a collection of nearly 100 different classes implementing a wide variety of data structures, has been the basis of Java Structures for more than five years. Thousands of faculty, students, researchers, industrial and recreational programmers have investigated this lean and well tested approach to data structure design.

In this edition, the text develops a heavily tested package that is independent of but consistent with the Collection package offered by Sun. In many cases, the variety of implementations provides the programmer choices of data structure that are not available with the Collection system. For those curricula that make use of the Collection package, the structure package can be easily integrated into existing applications. All classes are fully documented and make consistent use of pre- and post-conditioning, and include support for assertion testing.

The second edition also brings a wealth of new resources, including a large number of new and original exercises and drill problems. Throughout the text, exercises appear in the running text to direct a deeper consideration of subtle issues by students. Perhaps the most innovative feature (first found in Bailey's Java Elements) is the inclusion of more than a dozen original lab exercises that focus on interesting and often classic problems of computer science.

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