عنوان

A guide to experimental algorithmics /

شابک

0521173019 (pbk.)

شابک

1107001730 (hardback)

شابک

9780521173018 (pbk.)

شابک

9781107001732 (hardback)

شماره

dltt

عنوان اصلي

A guide to experimental algorithmics /

نام عام مواد

[Book]

نام نخستين پديدآور

Catherine C. McGeoch

محل نشرو پخش و غیره

New York :

نام ناشر، پخش کننده و غيره

Cambridge University Press,

تاریخ نشرو بخش و غیره

2012

نام خاص و کميت اثر

x, 261 p. :

ساير جزييات

ill. ;

ابعاد

25 cm

متن يادداشت

Includes bibliographical references and index

متن يادداشت

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

بدون عنوان

8

متن يادداشت

"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"--

متن يادداشت

"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"--

موضوع مستند نشده

Computer algorithms

شماره

ويراست

شماره رده

نشانه اثر

مستند نام اشخاص تاييد نشده

McGeoch, Catherine C.,1959-

تاريخ عمليات

20120324125759.0

نام الکترونيکي

نوع ماده

[Book]

تكميل شده

Y