Now revised to reflect the innovations of Java 5.0, Goodrich and Tamassia's Fifth Edition of Data Structures and Algo-rithms in Java 5.0 continues to offer accessible coverage of fundamental data structures, using a consistent object-oriented framework. The authors provide intuition, description, and analysis of fundamental data structures and algorithms. Numerous illustrations, web-based animations, and simplified mathematical analyses justify important analytical concepts.[cut]

This new book provides a concise and engaging introduction to Java and object-oriented programming with an abundance of original examples, use of Unified Modeling Language throughout, and coverage of the new Java 1.5. Addressing critical concepts up front, the book's five-part structure covers object-oriented programming, linear structures, algorithms, trees and collections, and advanced topics. KEY FEATURES: Data Structures and Algorithms in Java takes a practical approach to real-world programming and introduces readers to the process of crafting programs by working through the development of projects, often providing multiple versions of the code and consideration for alternate designs. The book features the extensive use of games as examples; a gradual development of classes analogous to the Java Collections Framework; complete, working code in the book and online; and strong pedagogy including extended examples in most chapters along with exercises, problems and projects. For readers and professionals with a familiarity with the basic control structures of Java or C and a precalculus level of mathematics who want to expand their knowledge to Java data structures and algorithms. Ideal for a second undergraduate course in computer science.

A comprehensive treatment focusing on the creation of efficient data structures and algorithms, this text explains how to select or design the data structure best suited to specific problems. It uses Java as the programming language and is suitable for second-year data structure courses and computer science courses in algorithmic analysis.

This book constitutes the refereed proceedings of the 12th Algorithms and Data Structures Symposium, WADS 2011, held in New York, NY, USA, in August 2011.

Review

The book teaches two things. Algorithms that are very useful in computing. And how these can be coded in Java.

The explanation of the algorithms requires a reasonable amount of mathematical sophistication on your part. They all relate to discrete maths, and cover topics like sorting, random number generation and graphs. The complexity of the discussion is less than that in Knuth's "Art of Computer Programming". Perhaps more akin to Sedgewick or Aho's algorithms texts. There is a fair amount of abstraction that you'll have to deal with.

This book teaches the classic data structures with an informal, yet rigorous, approach; it includes the appropriate object-oriented concepts and makes use of the appropriate Java constructs.

A comprehensive treatment focusing on the creation of efficient data structures and algorithms, this text explains how to select or design the data structure best suited to specific problems. It uses Java as the programming language and is suitable for second-year data structure courses and computer science courses in algorithmic analysis.

Data Structures Outside-In with Java /by Sesh Venugopal. This innovative new book encourages readers to utilize the “Outside-In” approach to learning the use, design and implementation of data structures. The author introduces every data structure by first narrating its properties and use in applications (the "outside" view).

You can catch up on the latest developments in the number one, fastest-growing programming language in the world with this fully updated Schaum's guide. Schaum's Outline of Data Structures with Java has been revised to reflect all recent advances and changes in the language.