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Data Structures and Algorithms in Java, 5th Editionby Michael T. Goodrich (University of California at Irvine); Roberto Tamassia (Brown Univ.)
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This is the 5th edition with a publication date of 2/1/2010.
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This newest edition examines fundamental data structures by following a consistent object-oriented framework that builds intuition and analysis skills of data structures and algorithms Presents new figures, simpler language, and more practical motivations from real-world scenarios Numerous illustrations, Web-based animations, and simplified mathematical analyses help readers quickly learn important concepts
Professors Goodrich and Tamassia are well-recognized researchers in data structures and algorithms. Michael Goodrich received his Ph.D. in Computer Science from Purdue University. He is currently a professor in the Department of Computer Science at the University of California, Irvine. Roberto Tamassia received his Ph.D. in Electrical and Computer Engineering from the University of Illinois at Urbana-Champaign. He is currently a professor in the Department Science at Brown University. Both professors are winners of numerous teaching awards for their teaching of data structures and algorithms.
Table of Contents
|Getting Started: Classes, Types, and Objects|
|Simple Input and Output|
|An Example Program|
|Nested Classes and Packages|
|Writing a Java Program|
|Goals, Principles, and Patterns|
|Inheritance and Polymorphism|
|Interfaces and Abstract Classes|
|Casting and Generics|
|Indices, Nodes, and Recursion|
|Singly Linked Lists|
|Doubly Linked Lists|
|Circularly Linked Lists and Linked-List Sorting|
|The Seven Functions Used in This Book|
|Analysis of Algorithms|
|Simple Justification Techniques|
|Stacks, Queues, and Deques|
|List and Iterator ADTs|
|List ADTs and the Collections Framework|
|Case Study: The Move-to-Front Heuristic|
|Tree Traversal Algorithms|
|Heaps and Priority Queues|
|The Priority Queue Abstract Data Type|
|Implementing a Priority Queue with a List|
|Adaptable Priority Queues|
|Hash Tables, Maps, and Skip Lists|
|Binary Search Trees|
|Sorting, Sets, and Selection|
|Studying Sorting through an Algorithmic Lens|
|Sets and Union/Find Structures|
|Strings and Dynamic Programming|
|Pattern Matching Algorithms|
|Text Compression and the Greedy Method|
|Data Structures for Graphs|
|Minimum Spanning Trees|
|Memory Management and B-Trees|
|External Memory and Caching|
|External Searching and B-Trees|
|A Useful Mathematical Facts|
|Table of Contents provided by Publisher. All Rights Reserved.|