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A Practical Guide To Data Structures And Algorithms Using Java Sally Goldman Ken Goldman

  • SKU: BELL-38204458
A Practical Guide To Data Structures And Algorithms Using Java Sally Goldman Ken Goldman
$ 31.00 $ 45.00 (-31%)

5.0

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A Practical Guide To Data Structures And Algorithms Using Java Sally Goldman Ken Goldman instant download after payment.

Publisher: Chapman and Hall/CRC
File Extension: PDF
File size: 21.31 MB
Author: Sally Goldman & Ken Goldman
Language: English
Year: 2007

Product desciption

A Practical Guide To Data Structures And Algorithms Using Java Sally Goldman Ken Goldman by Sally Goldman & Ken Goldman instant download after payment.

A Practical Guide to Data Structures and Algorithms Using Java
Although traditional
texts present isolated algorithms and data structures, they do not
provide a unifying structure and offer little guidance on how to
appropriately select among them. Furthermore, these texts furnish
little, if any, source code and leave many of the more difficult aspects
of the implementation as exercises. A fresh alternative to conventional
data structures and algorithms books, A Practical Guide to Data Structures and Algorithms using Java
presents comprehensive coverage of fundamental data structures and
algorithms in a unifying framework with full implementation details.
Recognizing that software development is a top-down process, this
applications-centered book provides careful guidance to students and
practitioners.

Complete and thoroughly integrated Java
implementations expose key differences among a wide range of important
data structures, including many useful abstract data types not provided
in standard Java libraries. Fundamental algorithms appear within the
context of their supporting data structures. Case studies, examples,
decision trees, and comparison charts throughout the stylized
presentation illustrate and support an efficient methodology for the
careful selection and application of data structures and algorithms.
Appendices summarize major features of the Java programming language,
introduce asymptotic notation and complexity analysis, and discuss
design patterns applied in the book.

A true marriage of theory
and practice, this book sets a new standard as a comprehensive practical
guide to data structures and algorithms. Practitioners and students
will reach for this book often to quickly identify the best data
structure or algorithm for their applications.

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