Guide to experimental algorithmics Catherine C. McGeoch.
Material type: TextPublication details: Cambridge : Cambridge University Press, 2012.Description: x, 261 p. : ill. ; 25 cmISBN:- 9780521173018 (pbk.)
- 0521173019 (pbk.)
- 005.1 M459G 23
- QA76.9.A43 M385 2012
- COM000000
Item type | Current library | Collection | Call number | Status | Notes | Date due | Barcode | |
---|---|---|---|---|---|---|---|---|
Books | Central Library, IISER Bhopal Reference Section | Reference | 005.1 M459G (Browse shelf(Opens below)) | Not For Loan | Reserve | 10925 |
Browsing Central Library, IISER Bhopal shelves, Shelving location: Reference Section, Collection: Reference Close shelf browser (Hides shelf browser)
No cover image available | ||||||||
005.1 K673A Algorithm design | 005.1 K673A Algorithm design | 005.1 K786A3 Art of computer programming: | 005.1 M459G Guide to experimental algorithmics | 005.1 M575H Handbook of requirements and business analysis | 005.1 P926S8 Software engineering : | 005.1 Sp6S Software product line engineering : |
Includes bibliographical references and index.
Machine generated contents note: 1. Introduction; 2. A plan of attack; 3. What to measure; 4. Tuning algorithms, tuning code; 5. The toolbox; 6. Creating analysis-friendly data; 7. Data analysis.
"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? Answering these questions needs ideas from algorithm design and analysis, operating systems and memory hierarchies, 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/ccm/alglab) contains downloadable files, programs, and tools for use in projects"--
There are no comments on this title.