A Guide to Experimental Algorithmics - Softcover

McGeoch, Catherine C.

  • 4.22 out of 5 stars
    9 ratings by Goodreads
 
9780521173018: A Guide to Experimental Algorithmics

Synopsis

Computational experiments on algorithms can supplement theoretical analysis by showing what algorithms, implementations, and speed-up methods work best for specific machines or problems. This book guides the reader through the nuts and bolts of the major experimental questions: What should I measure? What inputs should I test? How do I analyze the data? To answer these questions the book draws on ideas from algorithm design and analysis, computer systems, and statistics and data analysis. The wide-ranging discussion includes a tutorial on system clocks and CPU timers, a survey of strategies for tuning algorithms and data structures, a cookbook of methods for generating random combinatorial inputs, and a demonstration of variance reduction techniques. Numerous case studies and examples show how to apply these concepts. All the necessary concepts in computer architecture and data analysis are covered so that the book can be used by anyone who has taken a course or two in data structures and algorithms. A companion website, AlgLab (www.cs.amherst.edu/alglab) contains downloadable files, programs, and tools for use in experimental projects.

"synopsis" may belong to another edition of this title.

About the Author

Dr Catherine C. McGeoch is the Beitzel Professor of Technology and Society in the Department of Computer Science at Amherst College. Professor McGeoch was co-founder (with David S. Johnson) in 1990 of the Discrete Mathematics and Theoretical Computer Science (DIMACS) Implementation Challenges. In 1999 she co-founded (with Michael Goodrich) the annual Workshop on Algorithm Engineering and Experimentation (ALENEX), sponsored by SIAM. She was Editor-in-Chief of the ACM Journal of Experimental Algorithmics from 2003 to 2008 and currently serves on the ACM Publications Board.

"About this title" may belong to another edition of this title.

Other Popular Editions of the Same Title

9781107001732: A Guide to Experimental Algorithmics

Featured Edition

ISBN 10:  1107001730 ISBN 13:  9781107001732
Publisher: Cambridge University Press, 2012
Hardcover