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About this product
Product Identifiers
PublisherDover Publications, Incorporated
ISBN-100486485811
ISBN-139780486485812
eBay Product ID (ePID)103375238
Product Key Features
Number of Pages608 Pages
Publication NameData Structures and Algorithm Analysis in Java
LanguageEnglish
Publication Year2011
SubjectProgramming / General, Programming / Algorithms, Programming Languages / Java, Computer Science
TypeTextbook
AuthorClifford A. Shaffer
Subject AreaComputers
SeriesDover Books on Computer Science Ser.
FormatTrade Paperback
Dimensions
Item Weight38.5 Oz
Item Length10 in
Item Width7.1 in
Additional Product Features
Edition Number3
Intended AudienceCollege Audience
LCCN2011-020237
Dewey Edition23
IllustratedYes
Dewey Decimal005.13/3
Table Of ContentPreface I Preliminaries 1. Data Structures and Algorithims 2. Mathematical Preliminaries 3. Algorithim Analysis II Fundamental Data Structures 4. Lists, Stacks, and Queues 5. Binary Trees 6. Non-Binary Trees III Sorting and Searching 7. Internal Sorting 8. File Processing and External Sorting 9. Searching 10. Indexcing IV Advanced Data Structures 11. Graphs 12. Lists and Arrays Revisited 13. Advanced Treetructures V Theory of Algorithims 14. Analysis Techniques 15. Lower Bounds 16. Psatterns of Algorithims 17. Limits to Computation Bibliography Index
SynopsisA 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., Comprehensive treatment focuses on creation of efficient data structures and algorithms and selection or design of data structure best suited to specific problems. This edition uses Java as the programming language., With its focus on creating efficient data structures and algorithms, this comprehensive text helps readers understand how to select or design the tools that will best solve specific problems. It uses Java as the programming language and is suitable for second-year data structure courses and computer science courses in algorithm analysis. Techniques for representing data are presented within the context of assessing costs and benefits, promoting an understanding of the principles of algorithm analysis and the effects of a chosen physical medium. The text also explores tradeoff issues, familiarizes readers with the most commonly used data structures and their algorithms, and discusses matching appropriate data structures to applications. The author offers explicit coverage of design patterns encountered in the course of programming the book's basic data structures and algorithms. Numerous examples appear throughout the text.