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A Guide to Experimental Algorithmics, Paperback / softback Book

A Guide to Experimental Algorithmics Paperback / softback


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.

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.


  • Format: Paperback / softback
  • Pages: 272 pages, 78 Line drawings, unspecified
  • Publisher: Cambridge University Press
  • Publication Date:
  • Category: Algorithms & data structures
  • ISBN: 9780521173018