{"product_id":"a-guide-to-experimental-algorithmics","title":"A Guide to Experimental Algorithmics","description":"\u003cp\u003eComputational 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.\u003c\/p\u003e","brand":"Cambridge University Press","offers":[{"title":"Default Title","offer_id":46647049421038,"sku":"9780521173018","price":80.28,"currency_code":"AUD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0630\/9612\/7726\/files\/9780521173018.jpg?v=1750164307","url":"https:\/\/bookland.com.au\/products\/a-guide-to-experimental-algorithmics","provider":"Book Land AU","version":"1.0","type":"link"}