Damian Rouson

Scientific Software Design (eBook, PDF)

The Object-Oriented Way

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Cambridge University Press
• Erscheinungstermin: 29. April 2011
• Englisch
• ISBN-13: 9781139064446
• Artikelnr.: 38278343

Autorenporträt

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.

Inhaltsangabe

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.