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A Guide to Experimental Algorithmics - Catherine C. McGeoch

A Guide to Experimental Algorithmics

By: Catherine C. McGeoch

eText | 30 January 2012 | Edition Number 1

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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/ccm/alglab) contains downloadable files, programs and tools for use in experimental projects.
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Non-FictionComputing & I.T.Computer Programming & Software DevelopmentComputer Science

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Published: 30th January 2012

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