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Handbook of Applied Algorithms: Solving Scientific, Engineering, and Practical Problems Hardcover – March 3, 2008

ISBN-13: 978-0470044926 ISBN-10: 0470044926 Edition: 1st

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Product Details

  • Hardcover: 560 pages
  • Publisher: Wiley-IEEE Press; 1 edition (March 3, 2008)
  • Language: English
  • ISBN-10: 0470044926
  • ISBN-13: 978-0470044926
  • Product Dimensions: 6.4 x 1.3 x 9.6 inches
  • Shipping Weight: 2 pounds (View shipping rates and policies)
  • Average Customer Review: 5.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon Best Sellers Rank: #1,879,108 in Books (See Top 100 in Books)

Editorial Reviews

From the Back Cover

Discover the benefits of applying algorithms to solve scientific, engineering, and practical problems

Providing a combination of theory, algorithms, and simulations, Handbook of Applied Algorithms presents an all-encompassing treatment of applying algorithms and discrete mathematics to practical problems in "hot" application areas, such as computational biology, computational chemistry, wireless networks, and computer vision.

In eighteen self-contained chapters, this timely book explores:

  • Localized algorithms that can be used in topology control for wireless ad-hoc or sensor networks

  • Bioinformatics algorithms for analyzing data

  • Clustering algorithms and identification of association rules in data mining

  • Applications of combinatorial algorithms and graph theory in chemistry and molecular biology

  • Optimizing the frequency planning of a GSM network using evolutionary algorithms

  • Algorithmic solutions and advances achieved through game theory

Complete with exercises for readers to measure their comprehension of the material presented, Handbook of Applied Algorithms is a much-needed resource for researchers, practitioners, and students within computer science, life science, and engineering.

Amiya Nayak, PhD, has over seventeen years of industrial experience and is Full Professor at the School of Information Technology and Engineering at the University of Ottawa, Canada. He is on the editorial board of several journals. Dr. Nayak's research interests are in the areas of fault tolerance, distributed systems/algorithms, and mobile ad-hoc networks. Ivan StojmenoviC?, PhD, is Professor at the University of Ottawa, Canada (www.site.uottawa.ca/~ivan), and Chair Professor of Applied Computing at the University of Birmingham, United Kingdom. Dr. Stojmenovic? received the Royal Society Wolfson Research Merit Award. His current research interests are mostly in the design and analysis of algorithms for wireless ad-hoc and sensor networks.

About the Author

Amiya Nayak, PHD, has over seventeen years of industrial experience and is Full Professor at the School of Information technology and Engineering at the University of Ottawa, Canada. He is on the editorial board of several journals Dr. Nayak's research interests are in the areas of fault tolerance, distributed systems/algorithms, and mobile ad-hoc networks.

Ivan Stojmenovic, PHD, is Professor at the University of Ottawa, Canada (www.site.uottawa.ca/-ivan), and Chair Professor of Applied Computing at the University of Birmingham, United Kingdom. Dr. Stojmenovic received the Royal Society Wolfson research Merit Award. His current research interests are mostly in the design and analysis of algorithms for wireless ad-hoc and sensor networks.

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Most Helpful Customer Reviews

2 of 2 people found the following review helpful By Peter Widmayer on February 23, 2010
This volume is a fine collection of introductory and survey chapters, from world renowned experts in the field, on a variety of topics that arise in algorithms and their applications. The range of topics from which chapters are picked is remarkably broad, with selections from mathematical foundations, chemistry and biology questions, data mining, data streams, algorithmic game theory, as well as several chapters on sensor and communication networks aspects. It's great to have a crisp and clean treatment of methods that is so well informed by real world problems!
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Handbook of Applied Algorithms: Solving Scientific, Engineering, and Practical Problems
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