A Guide to Experimental Algorithmics (Hardcover, New)

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.

General

Imprint:	Cambridge UniversityPress
Country of origin:	United Kingdom
Release date:	2012
First published:	2012
Authors:	Catherine C. McGeoch
Dimensions:	241 x 160 x 21mm (L x W x T)
Format:	Hardcover
Pages:	272
Edition:	New
ISBN-13:	978-1-107-00173-2
Categories:	Books > Computing & IT > General theory of computing > Data structures Books > Computing & IT > Computer programming > Algorithms & procedures Promotions
LSN:	1-107-00173-0
Barcode:	9781107001732

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