Published by Cambridge University Press, 2012
ISBN 10: 0521173019 ISBN 13: 9780521173018
Language: English
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Published by Cambridge University Press, 2012
ISBN 10: 0521173019 ISBN 13: 9780521173018
Language: English
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Published by Cambridge University Press, 2012
ISBN 10: 0521173019 ISBN 13: 9780521173018
Language: English
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Published by Cambridge University Press, 2012
ISBN 10: 0521173019 ISBN 13: 9780521173018
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Published by Cambridge University Press, 2012
ISBN 10: 0521173019 ISBN 13: 9780521173018
Language: English
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Published by Cambridge University Press, 2012
ISBN 10: 0521173019 ISBN 13: 9780521173018
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ISBN 10: 0521173019 ISBN 13: 9780521173018
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ISBN 10: 0521173019 ISBN 13: 9780521173018
Language: English
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Published by Cambridge University Press, 2012
ISBN 10: 0521173019 ISBN 13: 9780521173018
Language: English
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Published by Cambridge University Press, Cambridge, 2012
ISBN 10: 0521173019 ISBN 13: 9780521173018
Language: English
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Paperback. Condition: new. Paperback. 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 contains downloadable files, programs and tools for use in experimental projects. This is a guidebook for those who want to use computational experiments to support their work in algorithm design and analysis. Numerous case studies and examples show how to apply these concepts. All the necessary concepts in computer architecture and data analysis are covered. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Published by Cambridge University Press, 2012
ISBN 10: 0521173019 ISBN 13: 9780521173018
Language: English
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Published by Cambridge University Press, 2012
ISBN 10: 0521173019 ISBN 13: 9780521173018
Language: English
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Published by Cambridge University Press, 2012
ISBN 10: 0521173019 ISBN 13: 9780521173018
Language: English
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Published by Cambridge University Press, 2012
ISBN 10: 0521173019 ISBN 13: 9780521173018
Language: English
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Published by Cambridge University Press, 2012
ISBN 10: 0521173019 ISBN 13: 9780521173018
Language: English
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Published by Cambridge University Press, 2012
ISBN 10: 0521173019 ISBN 13: 9780521173018
Language: English
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Published by Cambridge University Press, Cambridge, 2012
ISBN 10: 0521173019 ISBN 13: 9780521173018
Language: English
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Paperback. Condition: new. Paperback. 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 contains downloadable files, programs and tools for use in experimental projects. This is a guidebook for those who want to use computational experiments to support their work in algorithm design and analysis. Numerous case studies and examples show how to apply these concepts. All the necessary concepts in computer architecture and data analysis are covered. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Published by Cambridge University Press, 2012
ISBN 10: 0521173019 ISBN 13: 9780521173018
Language: English
Seller: moluna, Greven, Germany
Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This is a guidebook for those who want to use computational experiments to support their work in algorithm design and analysis. Numerous case studies and examples show how to apply these concepts. All the necessary concepts in computer architecture and data.
Published by Cambridge University Press, Cambridge, 2012
ISBN 10: 0521173019 ISBN 13: 9780521173018
Language: English
Seller: AussieBookSeller, Truganina, VIC, Australia
Paperback. Condition: new. Paperback. 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 contains downloadable files, programs and tools for use in experimental projects. This is a guidebook for those who want to use computational experiments to support their work in algorithm design and analysis. Numerous case studies and examples show how to apply these concepts. All the necessary concepts in computer architecture and data analysis are covered. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Published by Cambridge University Press, 2012
ISBN 10: 0521173019 ISBN 13: 9780521173018
Language: English
Seller: preigu, Osnabrück, Germany
Taschenbuch. Condition: Neu. A Guide to Experimental Algorithmics | Catherine C. McGeoch | Taschenbuch | Kartoniert / Broschiert | Englisch | 2012 | Cambridge University Press | EAN 9780521173018 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.