Data Structures In Java For Beginners

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Data Structures and Algorithms in Java

Author: Michael T. Goodrich
language: en
Publisher: Wiley Global Education
Release Date: 2014-09-18
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.
A Concise Introduction to Data Structures using Java

A student-friendly text, A Concise Introduction to Data Structures Using Java takes a developmental approach, starting with simpler concepts first and then building toward greater complexity. Important topics, such as linked lists, are introduced gradually and revisited with increasing depth. More code and guidance are provided at the beginning, al
Classic Data Structures in Java

With this book, Tim Budd looks at data structures by providing a solid foundation on the ADT, and uses the graphical elements found in Java when possible. The beginning chapters provide the foundation on which everything else will be built. These chapters define the essential concept of the abstract data type (ADT), and describe the tools used in the evaluation and analysis of data structures. The book moves on to provide a detailed description of the two most important fundamental data abstractions, the vector and the linked list, providing an explanation of some of the more common variations on these fundamental ideas. Next, the material considers data structures applicable to problems in which the order that values are added to a collection is important, followed by a consideration of the various different ways in which binary trees are used in the creation of data structures. The last few chapters consider a sequence of more advanced data structures. Most are constructed as adaptors built on top of earlier abstractions. Hash tables are introduced first as a technique for implementing simple collections, and later as a tool for developing efficient maps. Lastly, the graph data type is considered. Here there are several alternative data structures presentations in common use, and the emphasis in this chapter is more on the development and analysis of useful algorithms than on any particular data structure.