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Accuracy and Reliability in Scientific Computing: Software, Environments, Tools
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En muy buen estado
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Ubicado en: Wilmette, Illinois, Estados Unidos
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N.º de artículo de eBay:255997558488
Última actualización el 22 abr 2023 21:42:56 H.EspVer todas las actualizacionesVer todas las actualizaciones
Características del artículo
- Estado
- En muy buen estado
- Notas del vendedor
- “Minor shelf wears, clean with no markings”
- Title
- Accuracy and Reliability in Scientific Computing (Software, Envi
- ISBN
- 9780898715842
- EAN
- 9780898715842
Acerca de este producto
Product Identifiers
Publisher
Society for Industrial AND Applied Mathematics
ISBN-10
0898715849
ISBN-13
9780898715842
eBay Product ID (ePID)
46015928
Product Key Features
Number of Pages
362 Pages
Language
English
Publication Name
Accuracy and Reliability in Scientific Computing
Subject
Programming / General, General
Publication Year
2005
Type
Textbook
Subject Area
Computers, Science
Series
Software Environments and Tools Ser.
Format
Trade Paperback
Dimensions
Item Height
0.6 in
Item Weight
23 Oz
Item Length
9 in
Item Width
6 in
Additional Product Features
Intended Audience
Scholarly & Professional
LCCN
2005-047019
Dewey Edition
22
Illustrated
Yes
Dewey Decimal
502/.85
Table Of Content
List of Contributors List of Figures List of Tables Preface Part I: PITFALLS IN NUMERICAL COMPUTATION. Chapter 1: What Can Go Wrong in Scientific Computing? Bo Einarsson Chapter 2: Assessment of Accuracy and Reliability, Ronald F. Boisvert, Ronald Cools, and Bo Einarsson Chapter 3: Approximating Integrals, Estimating Errors, and Giving the Wrong Solution for a Deceptively Easy Problem, Ronald Cools Chapter 4: An Introduction to the Quality of Computed Solutions, Sven Hammarling Chapter 5: Qualitative Computing, Françoise Chaitin-Chatelin and Elisabeth Traviesas-Cassan Part II: DIAGNOSTIC TOOLS. Chapter 6: PRECISE and the Quality of Reliable Numerical Software, Françoise Chaitin-Chatelin and Elisabeth Traviesas-Cassan Chapter 7: Tools for the Verification of Approximate Solutions to Differential Equations, Wayne H. Enright Part III: TECHNOLOGY FOR IMPROVING ACCURACY AND RELIABILITY. Chapter 8: General Methods forImplementing Reliable and Correct Software, Bo Einarsson Chapter 9: The Use and Implementation of Interval Data Types, G.WilliamWalster Chapter 10: Computer-Assisted Proofs and Self-Validating Methods, Siegfried M. Rump Chapter 11: Hardware Assisted Algorithms, Craig C. Douglas and Hans Petter Langtangen Chapter 12: Issues in Accurate and Reliable Use of Parallel Computing in Numerical Programs, William D. Gropp Chapter 13: Software Reliability Engineering of Numerical Systems, Mladen A. Vouk Bibliography Index.
Synopsis
A handbook for improving the quality of scientific computing, this book will help readers address the problems that affect software in general as well as the particular challenges of numerical computation: approximations occurring at all levels, continuous functions replaced by discretized versions, infinite processes replaced by finite ones, and real numbers replaced by finite precision numbers., Developing accurate and reliable scientific software is notoriously difficult. This book investigates some of the difficulties related to scientific computing and provides insight into how to overcome them and obtain dependable results. The text deals thoroughly with the problems that affect software in general as well as the particular challenges of numerical computation: approximations occurring at all levels, continuous functions replaced by discretized versions, infinite processes replaced by finite ones, and real numbers replaced by finite precision numbers. Divided into three parts, it starts by illustrating some of the difficulties in producing robust and reliable scientific software. The second section describes diagnostic tools that can be used to assess the accuracy and reliability of existing scientific applications. In the last section, the authors describe a variety of techniques that can be employed to improve the accuracy and reliability of newly developed scientific applications., Numerical software is used to test scientific theories, design airplanes and bridges, operate manufacturing lines, control power plants and refineries, analyze financial derivatives, identify genomes, and provide the understanding necessary to derive and analyze cancer treatments. Because of the high stakes involved, it is essential that results computed using software be accurate, reliable, and robust. Unfortunately, developing accurate and reliable scientific software is notoriously difficult. This book investigates some of the difficulties related to scientific computing and provides insight into how to overcome them and obtain dependable results. The tools to assess existing scientific applications are described, and a variety of techniques that can improve the accuracy and reliability of newly developed applications is discussed. Accuracy and Reliability in Scientific Computing can be considered a handbook for improving the quality of scientific computing. It will help computer scientists address the problems that affect software in general as well as the particular challenges of numerical computation: approximations occurring at all levels, continuous functions replaced by discretized versions, infinite processes replaced by finite ones, and real numbers replaced by finite precision numbers. Divided into three parts, it starts by illustrating some of the difficulties in producing robust and reliable scientific software. Well-known cases of failure are reviewed and the what and why of numerical computations are considered. The second section describes diagnostic tools that can be used to assess the accuracy and reliability of existing scientific applications. In the last section, the authors describe a variety of techniques that can be employed to improve the accuracy and reliability of newly developed scientific applications. The authors of the individual chapters are international experts, many of them members of the IFIP Working Group on Numerical Software. The book contains condensed information on the main features of six major programming languages - Ada, C, C++, Fortran, Java, and Python - and the INTLAB toolbox of the MATLAB? software and the PRECISE toolbox of Fortran are discussed in detail. This book has an accompanying website, with codes, links, color versions of some illustrations, and additional material.
LC Classification Number
Q183.9 .A28 2005
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