Damian RousonCambridge University Press, 3/6/2014EAN 9781107415331, ISBN10: 1107415330Paperback, 406 pages, 25.4 x 17.8 x 2.3 cmLanguage: EnglishThe 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.PrefacePart I. The Tao of Scientific OOP1. Development costs and complexity2. The object-oriented way3. Scientific OOPPart II. SOOP to Nuts and Bolts4. Design patterns basics5. The object pattern6. The abstract calculus pattern7. The strategy and surrogate patterns8. The puppeteer pattern9. Factory patternsPart III. Gumbo SOOP10. Formal constraints11. Mixed-language programming12. Multiphysics architectures.
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