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A Guide to Experimental Algorithmics

A Guide to Experimental Algorithmics

A Guide to Experimental Algorithmics
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A Guide to Experimental Algorithmics Paperback - 2012 - 1st Edition

by McGeoch, Catherine C

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Cambridge University Press, 1/30/2012 12:00:01 A. paperback. Good. 0.6299 9.2126 6.1417. Book is slightly bending/warping. Otherwise book shows minimal/no other wear. Pages are clean, text and pictures are intact and unmarred. Good reading copy.
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Details

  • Title A Guide to Experimental Algorithmics
  • Author McGeoch, Catherine C
  • Binding Paperback
  • Edition number 1st
  • Edition 1
  • Condition Used - Good
  • Pages 272
  • Volumes 1
  • Language ENG
  • Publisher Cambridge University Press
  • Publication date 1/30/2012 12:00:01 A
  • Features Bibliography, Index
  • Bookseller's Inventory # mon0003868373
  • ISBN 9780521173018 / 0521173019
  • Weight 1 lbs (0.45 kg)
  • Dimensions 9.2 x 6.1 x 0.7 in (23.37 x 15.49 x 1.78 cm)
  • Size 0.6299 9.2126 6.1417
  • Themes
    • Aspects (Academic): Science/Technology Aspects
  • Category Computers - Languages / Programming
  • Library of Congress subjects Computer algorithms, COMPUTERS / General
  • Library of Congress Catalogue Number 2011047928
  • Dewey Decimal Code 005.1
  • Quantity available 1
  • Bookseller catalogues Book

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From the publisher

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.

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Citations

  • Choice, 09/01/2012, Page 0

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