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Algorithm Design and Applications
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Algorithm Design and Applications
$25299
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Book Hero Magic created this recommendation. While it's new and still learning, it may not be perfect - your feedback is welcome! IS THIS YOUR NEXT READ?
Introducing a NEW addition to our growing library of computer science titles, Algorithm Design and Applications, by Michael T. Goodrich & Roberto Tamassia! Algorithms is a course required for all computer science majors, with a strong focus on theoretical topics.
Book Hero Magic formatted this description to make it easier to read. While it's new and
still learning, it may not be perfect - your
feedback is welcome!
Description
Introducing a NEW addition to our growing library of computer science titles, Algorithm Design and Applications by Michael T. Goodrich & Roberto Tamassia! Algorithms is a course required for all computer science majors, with a strong focus on theoretical topics. Students enter the course after gaining hands-on experience with computers and are expected to learn how algorithms can be applied to a variety of contexts. This new book integrates application with theory.
Goodrich & Tamassia believe that the best way to teach algorithmic topics is to present them in a context that is motivated by applications in society, computer games, the computing industry, science, engineering, and the internet. The text teaches students about designing and using algorithms, illustrating connections between topics being taught and their potential applications, thereby increasing engagement.
Book Details
INFORMATION
ISBN: 9781118335918
Publisher: John Wiley & Sons Inc
Format: Hardback
Date Published: 19 December 2014
Country: United States
Imprint: John Wiley & Sons Inc
Audience: Professional and scholarly
DIMENSIONS
Spine width: 36.0mm
Width: 211.0mm
Height: 254.0mm
Weight: 1565g
Pages: 800
About the Author
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.
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