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Book Description Condition: new. Seller Inventory # 73ad1ef288710d3b846ce9a868411a47
Book Description Hardback. Condition: New. New copy - Usually dispatched within 4 working days. This guidebook is for those who want to use computational experiments to support their work in algorithm design and analysis. Seller Inventory # B9781107001732
Book Description Hardcover. Condition: new. Hardcover. 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. Seller Inventory # 9781107001732
Book Description Hardcover. Condition: Brand New. 1st edition. 272 pages. 9.25x6.00x0.75 inches. In Stock. Seller Inventory # __1107001730
Book Description Condition: New. This guidebook is for those who want to use computational experiments to support their work in algorithm design and analysis. Num Pages: 272 pages, 78 b/w illus. BIC Classification: UMB. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 154 x 243 x 22. Weight in Grams: 570. 272 pages, 78 b/w illus. This guidebook is for those who want to use computational experiments to support their work in algorithm design and analysis. Cateogry: (P) Professional & Vocational; (U) Tertiary Education (US: College). BIC Classification: UMB. Dimension: 154 x 243 x 22. Weight: 570. . 2012. Illustrated. hardcover. . . . . Seller Inventory # V9781107001732
Book Description Hardcover. Condition: new. Hardcover. 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 our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9781107001732
Book Description Condition: New. This guidebook is for those who want to use computational experiments to support their work in algorithm design and analysis. Num Pages: 272 pages, 78 b/w illus. BIC Classification: UMB. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 154 x 243 x 22. Weight in Grams: 570. 272 pages, 78 b/w illus. This guidebook is for those who want to use computational experiments to support their work in algorithm design and analysis. Cateogry: (P) Professional & Vocational; (U) Tertiary Education (US: College). BIC Classification: UMB. Dimension: 154 x 243 x 22. Weight: 570. . 2012. Illustrated. hardcover. . . . . Books ship from the US and Ireland. Seller Inventory # V9781107001732
Book Description Hardcover. Condition: new. Hardcover. 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 our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Seller Inventory # 9781107001732