Title Bits and Bugs
Subtitle A Scientific and Historical Review of Software Failures in Computational Science
Author Thomas Huckle, Tobias Neckel
ISBN 9781611975550
List price USD 44.00
Price outside India Available on Request
Original price
Binding Paperback
No of pages 252
Book size 178 x 254 mm
Publishing year 2019
Original publisher SIAM - Society for Industrial and Applied Mathematics (Eurospan Group)
Published in India by .
Exclusive distributors Viva Books Private Limited
Sales territory India, Sri Lanka, Bangladesh, Pakistan, Nepal, .
Status New Arrival
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In scientific computing (also known as computational science), advanced computing capabilities are used to solve complex problems. This self-contained book describes and analyzes reported software failures related to the major topics within scientific computing: mathematical modeling of phenomena; numerical analysis (number representation, rounding, conditioning); mathematical aspects and complexity of algorithms, systems, or software; concurrent computing (parallelization, scheduling, synchronization); and numerical data (such as input of data and design of control logic).

Readers will find lists of related, interesting bugs, MATLAB examples, and “excursions” that provide necessary background, as well as an in-depth analysis of various aspects of the selected bugs. Illustrative examples of numerical principles such as machine numbers, rounding errors, condition numbers, and complexity are also included.

This book is intended for students, teachers, and researchers in scientific computing, computer science, and applied mathematics. It is also an entertaining and motivating introduction for those with a minimum background in mathematics or computer science. Bits and Bugs can be used for courses in numerical analysis, numerical methods in linear algebra/ODEs/PDEs, introductory software engineering, introductory scientific computing, and parallel programming.


List of Excursions

Preface • Background of This Book    Acknowledgments

Chapter 1: Introduction • Focus of This Book • Structure of This Book • Classification of Bugs

Chapter 2: Machine Numbers, Precision, and Rounding Errors • The Failure of the Ariane 5 • Y2K and Data Formats • Vancouver Stock Exchange • The Patriot Missile Defense Incident

Chapter 3: Mathematical Modeling and Discretization • Loss of the Gas Rig Sleipner A • London Millennium Bridge • Weather Prediction • Mathematical Finance

Chapter 4: Design of Control Systems • Fly-by-Wire • Automotive Bugs

Chapter 5: Synchronization and Scheduling • Space Shuttle • Mars Pathfinder

Chapter 6: Software-Hardware Interplay • The Pentium Division Bug • Mars Rover Spirit Flash Memory Problem

Chapter 7: Complexity • Therac-25 • Denver Airport • Strategic Defense Initiative

Chapter 8: Appendix • Urban Legends and Other Stories • MATLAB Example Programs • Pentium Bug: Original Email of T Nicely to Several Individuals and Groups


About the Authors:

Thomas Huckle has been professor of scientific computing at the Technical University of Munich since 1995. He has conducted research at Stanford University (1993), UCLA (2000), and Leeds University (2006) and in Como, Italy (2011). His research focuses on topics in numerical linear algebra, such as preconditioning, regularization methods, multigrid methods, structured matrices, and tensors, and algorithms for parallel and high-performance computing. Since 1999, he has maintained a web page called Collection of Software Bugs.

Tobias Neckel is senior researcher in scientific computing at the Technical University of Munich and has conducted research at the École Polytechnique, France (2003), the Tokyo Institute of Technology (2008), and the Australian National University (2017). His research interests include the numerical solution of partial differential equations, hierarchic and adaptive methods, uncertainty quantification, and various aspects of high-performance computing.

Target Audience:

This book is intended for students, teachers, and researchers in scientific computing, computer science, and applied mathematics.


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