
Algorithm Design
Foundations, Analysis and Internet Examples
Wiley (Publisher)
Published on 24. October 2001
Book
Paperback/Softback
XII, 708 pages
978-0-471-38365-9 (ISBN)
Shipment within 10-20 days
Description
Michael Goodrich and Roberto Tamassia, authors of the successful, Data Structures and Algorithms in Java, 2/e, have written Algorithm Engineering, a text designed to provide a comprehensive introduction to the design, implementation and analysis of computer algorithms and data structures from a modern perspective. This book offers theoretical analysis techniques as well as algorithmic design patterns and experimental methods for the engineering of algorithms.
Market: Computer Scientists; Programmers.
More details
Edition
1. Auflage
Language
English
Place of publication
New York
United States
Target group
College/higher education
Professional and scholarly
Dimensions
Height: 23.5 cm
Width: 20 cm
Thickness: 3.7 cm
Weight
1312 gr
ISBN-13
978-0-471-38365-9 (9780471383659)
Schweitzer Classification
Other editions
New editions
Michael T. Goodrich | Roberto Tamassia
Algorithm Design
Foundations, Analysis and Internet Examples. International Edition
Book
04/2003
1st Edition
Wiley
€53.90
Withdrawn from sale
Previous edition
Michael T. Goodrich | Roberto Tamassia
Algorithm Design
Foundations, Analysis and Internet Examples. International Edition
Book
04/2003
1st Edition
Wiley
€53.90
Withdrawn from sale
Persons
Michael T. Goodrich is a mathematician and computer scientist. He is a Chancellor's Professor and the chair of Department of Computer Science, of Donald Bren School of Information and Computer Sciences, a school of University of California, Irvine. Roberto Tamassia is the author of Algorithm Design: Foundations, Analysis, and Internet Examples, published by Wiley.
Content
PART I: FUNDAMENTAL TOOLS.
Algorithm Analysis.
Basic Data Structures.
Search Trees and Skip Lists.
Sorting, Sets, and Selection.
Fundamental Techniques.
PART II: GRAPH ALGORITHMS.
Graphs.
Weighted Graphs.
Network Flow and Matching.
PART III: INTERNET ALGORITHMICS.
Text Processing.
Number Theory and Cryptograhy.
Network Algorithms.
PART IV: ADDITIONAL TOPICS.
Computational Geometry.
NP-Completeness.
Algorithmic Frameworks.
Appendix: Useful Mathematical Facts.
Bibliography.
Index.