Free download Data Structures and Algorithms in Java Fourth Edition in PDF written by Michael T. Goodrich(University of California), Roberto Tamassia(Brown University) and published by John Wiley & Sons, Inc.
According to the Authors, “This fourth edition is designed to provide an introduction to data structures and algorithms, including their design, analysis, and implementation. The design and analysis of efficient data structures has long been recognized as a vital subject in computing, for the study of data structures is part of the core of every collegiate computer science and computer engineering major program we are familiar with. Typically, the introductory courses are presented as a two- or three course sequence. Elementary data structures are often briefly introduced in the first programming or introduction to computer science course and this is followed by a more in-depth introduction to data structures in the following course(s). Furthermore, this course sequence is typically followed at a later point in the curriculum by a more in-depth study of data structures and algorithms. We feel that the central role of data structure design and analysis in the curriculum is fully justified, given the importance of efficient data structures in most software systems, including the Web, operating systems, databases, compilers, and scientific simulation systems.
With the emergence of the object-oriented paradigm as the framework of choice for building robust and reusable software, we have tried to take a consistent object oriented viewpoint throughout this text. One of the main ideas of the object oriented approach is that data should be presented as being encapsulated with the methods that access and modify them. That is, rather than simply viewing data as a collection of bytes and addresses, we think of data as instances of an abstract data type (ADT) that include a repertory of methods for performing operations on the data. Likewise, object-oriented solutions are often organized utilizing common design patterns, which facilitate software reuse and robustness. Thus, we present each data structure using ADT’s and their respective implementations and we introduce important design patterns as means to organize those implementations into classes, methods, and objects.
The major changes, with respect to the third edition, are the following:
- Added new chapter on arrays, linked lists, and recursion.
- Added new chapter on memory management.
- Full integration with Java 5.0.
- Better integration with the Java Collections Framework.
- Better coverage of iterators.
- Increased coverage of array lists, including the replacement of uses of the class java.util.Vector with java.util.ArrayList.
- Update of all Java APIs to use generic types.
- Simplified list, binary tree, and priority queue ADT’s.
- Further streamlining of mathematics to the seven most used functions.
- Expanded and revised exercises, bringing the total number of reinforcement, creativity, and project exercises to 670. Added exercises include new projects on maintaining a game’s high-score list, evaluating post fix and infix expressions, minimax game-tree evaluation, processing stock buy and sell orders, scheduling CPU jobs, n-body simulation, computing DNA-strand edit distance, and creating and solving mazes.
Table of Contents
- Java Programming Basics
- Object Oriented Design
- Arrays, Linked Lists and Recursion
- Analysis Tools
- Stacks and Queues
- Lists and Iterators
- Priority Queues
- Maps and Dictionaries
- Search Trees
- Sorting, Sets and Selection
- Text Processing
- Useful Mathematical Facts
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Also Available: Data Structures and Algorithms Analysis(C++ Version) by Clifford A. Shaffer