Algorithms in Java, Third Edition (Parts 1-4) free download online

Title: Algorithms in Java, Third Edition (Parts 1-4)
Author(s): Robert Sedgewick, Michael Schidlowsky
Pages: 768
Publisher: Addison-Wesley Professional; 3 edition
Publication date: 2002
Language: English
Format: CHM
ISBN-10: 0201361205
ISBN-13:
Description: Represents the essential first half of Sedgewick's complete work. Its four parts: fundamentals, data structures, sorting, and searching. Appeals equally to both the academic and professional markets. This edition of Robert Sedgewick's popular work provides current and comprehensive coverage of important algorithms for Java programmers. Michael Schidlowsky and Sedgewick have developed new Java implementations that both express the methods in a concise and direct manner and provide programmers with the practical means to test them on real applications. Many new algorithms are presented, and the explanations of each algorithm are much more detailed than in previous editions. A new text design and detailed, innovative figures, with accompanying commentary, greatly enhance the presentation. The third edition retains the successful blend of theory and practice that has made Sedgewick's work an invaluable resource for more than 400,000 programmers! This particular book, Parts 1-4, represents the essential first half of Sedgewick's complete work. It provides extensive coverage of fundamental data structures and algorithms for sorting, searching, and related applications. Although the substance of the book applies to programming in any language, the implementations by Schidlowsky and Sedgewick also exploit the natural match between Java classes and abstract data type (ADT) implementations. Highlights * Java class implementations of more than 100 important practical algorithms * Emphasis on ADTs, modular programming, and object-oriented programming * Extensive coverage of arrays, linked lists, trees, and other fundamental data structures * Thorough treatment of algorithms for sorting, selection, priority queue ADT implementations, and symbol table ADT implementations (search algorithms) * Complete implementations for binomial queues, multiway radix sorting, randomized BSTs, splay trees, skip lists, multiway tries, B trees, extendible hashing, and many other advanced methods * Quantitative information about the algorithms that gives you a basis for comparing them * More than 1,000 exercises and more than 250 detailed figures to help you learn properties of the algorithms Whether you are learning the algorithms for the first time or wish to have up-to-date reference material that incorporates new programming styles with classic and new algorithms, you will find a wealth of useful information in this book. CONTENTS Part I: Fundamentals Chapter 1. Introduction Section 1.1. Algorithms Section 1.2. A Sample Problem: Connectivity Section 1.3. Union-Find Algorithms Section 1.4. Perspective Section 1.5. Summary of Topics Chapter 2. Principles of Algorithm Analysis Section 2.1. Implementation and Empirical Analysis Section 2.2. Analysis of Algorithms Section 2.3. Growth of Functions Section 2.4. Big-Oh Notation Section 2.5. Basic Recurrences Section 2.6. Examples of Algorithm Analysis Section 2.7. Guarantees, Predictions, and Limitations References for Part One Part II: Data Structures Chapter 3. Elementary Data Structures Section 3.1. Building Blocks Section 3.2. Arrays Section 3.3. Linked Lists Section 3.4. Elementary List Processing Section 3.5. Memory Allocation for Lists Section 3.6. Strings Section 3.7. Compound Data Structures Chapter 4. Abstract Data Types Exercises Section 4.1. Collections of Items Section 4.2. Pushdown Stack ADT Section 4.3. Examples of Stack ADT Clients Section 4.4. Stack ADT Implementations Section 4.5. Generic Implementations Section 4.6. Creation of a New ADT Section 4.7. FIFO Queues and Generalized Queues Section 4.8. Duplicate and Index Items Section 4.9. First-Class ADTs Section 4.10. Application-Based ADT Example Section 4.11. Perspective Chapter 5. Recursion and Trees Section 5.1. Recursive Algorithms

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