Scientific Software Design (inbunden)
Inbunden (Hardback)
Antal sidor
Cambridge University Press
Xia, Jim / Xu, Xiaofeng
119 b/w illus. 9 tables 23 exercises
259 x 185 x 30 mm
931 g
Antal komponenter
68:B&W 7 x 10 in or 254 x 178 mm Case Laminate on White w/Gloss Lam
Scientific Software Design (inbunden)

Scientific Software Design

The Object-Oriented Way

Inbunden Engelska, 2011-04-29
Skickas inom 10-15 vardagar.
Fri frakt inom Sverige för privatpersoner.
Finns även som
Visa alla 2 format & utgåvor
The authors analyze how the structure of a package determines its developmental complexity according to such measures as bug search times and documentation information content. The work presents arguments for why these issues impact solution cost and time more than does scalable performance. The final chapter explores the question of scalable execution and shows how scalable design relates to scalable execution. The book's focus is on program organization, which has received considerable attention in the broader software engineering community, where graphical description standards for modeling software structure and behavior have been developed by computer scientists. These discussions might be enriched by engineers who write scientific codes. This book aims to bring such scientific programmers into discussion with computer scientists. The authors do so by introducing object-oriented software design patterns in the context of scientific simulation.
Visa hela texten

Passar bra ihop

  1. Scientific Software Design
  2. +
  3. UNIX and Perl to the Rescue!

De som köpt den här boken har ofta också köpt UNIX and Perl to the Rescue! av Keith Bradnam (inbunden).

Köp båda 2 för 1538 kr


Har du läst boken? Sätt ditt betyg »

Fler böcker av Damian Rouson

  • Modern Fortran

    Damian Rouson, Salvatore Filippone, Sameer Shende

    This book will introduce techniques and tools for software design, development, testing, and performance analysis for use in computational science. The book will emphasize object-oriented programming (OOP), object-oriented design patterns, and par...

Recensioner i media

'... it's one of those books that I wish I'd read earlier in my programming career. I found many design patterns familiar simply because I'd seen them before in my own code. I'll likely turn to this book in the future whenever I suspect a program design problem might be solved already.' Computing in Science and Engineering

'Scientific software must be consciously designed to grow with a research program and the hardware that supports the research program. And how to do that is precisely what these authors in this book have shown.' Scientific Programming

Övrig information

Damian Rouson is currently the manager of the Reacting Flow Research Department at Sandia National Laboratories. He was formerly Section Head of the US Navy Research Laboratory Division of Combustion Science and Modeling. He was Assistant Professor of Engineering at the City University of New York and Visiting Assistant Professor at the University of Maryland. Damian Rouson received his Masters and Ph.D. in Mechanical Engineering from Stanford University. Dr Jim Xia is currently a software designer and tester at the IBM Test Laboratory in Markham, Ontario, Canada. He received his Ph.D. in Physics from the University of Western Ontario in 1997. Dr Xiaofeng Xu is currently a Software Analyst at General Motors Corp. in Pontiac, Michigan. In this job, he performs airflow and combustion CFD analysis to support base engine designs. He received his Ph.D. in Mechanical Engineering (2003) from Iowa State University in Ames, IA and is the author or co-author of 39 refereed publications.


Preface; Part I. The Tao of Scientific OOP: 1. Development costs and complexity; 2. The object-oriented way; 3. Scientific OOP; Part II. SOOP to Nuts and Bolts: 4. Design patterns basics; 5. The object pattern; 6. The abstract calculus pattern; 7. The strategy and surrogate patterns; 8. The puppeteer pattern; 9. Factory patterns; Part III. Gumbo SOOP: 10. Formal constraints; 11. Mixed-language programming; 12. Multiphysics architectures.