Algorithm Design and Applications

Michael T. Goodrich · Roberto Tamassia

nov. 2014 · Vendu par Wiley Global Education

À propos de cet e-book

ALGORITHM DESIGN and APPLICATIONS

“This is a wonderful book, covering both classical and contemporary topics in algorithms. I look forward to trying it out in my algorithms class. I especially like the diversity in topics and difficulty of the problems.”
ROBERT TARJAN, PRINCETON UNIVERSITY

“The clarity of explanation is excellent. I like the inclusion of the three types of exercises very much.”
MING-YANG KAO, NORTHWESTERN UNIVERSITY

“Goodrich and Tamassia have designed a book that is both remarkably comprehensive in its coverage and innovative in its approach. Their emphasis on motivation and applications, throughout the text as well as in the many exercises, provides a book well-designed for the boom in students from all areas of study who want to learn about computing. The book contains more than one could hope to cover in a semester course, giving instructors a great deal of flexibility and students a reference that they will turn to well after their class is over.”
MICHAEL MITZENMACHER, HARVARD UNIVERSITY

“I highly recommend this accessible roadmap to the world of algorithm design. The authors provide motivating examples of problems faced in the real world and guide the reader to develop workable solutions, with a number of challenging exercises to promote deeper understanding.”
JEFFREY S. VITTER, UNIVERSITY OF KANSAS

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À propos de l'auteur

Michael T. Goodrich received his B.A. in Mathematics and Computer Science from Calvin College in 1983 and his PhD in Computer Sciences from Purdue University in 1987. Dr. Goodrich's research is directed at the design of high performance algorithms and data structures for solving large-scale problems motivated from information assurance and security, the Internet, Bioinformatics, and geometric computing. He has pioneered and led research on efficient solutions to a number of fundamental problems, including sorting, convex hull construction, linear programming, privacy-preserving data access, network traceback, and data authentication.