Scientific software design : the object-oriented way / Damian Rouson, Jim Xia, Xiaofeng Xu.

By: Rouson, Damian, 1967-
Contributor(s): Xia, Jim, 1970- | Xu, Xiaofeng, 1972-
Language: English Publisher: New York : Cambridge University Press, 2011Description: 1 online resource (xxii, 382 pages)Content type: text Media type: computer Carrier type: online resourceISBN: 9780511977381Subject(s): Science -- Data processing | Engineering -- Data processing | Software engineeringGenre/Form: Electronic books.DDC classification: 005.1 LOC classification: Q183.9 | .R68 2011Other classification: TEC009000 Online resources: Full text available from Cambridge University Press Click here to view
Contents:
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.
Summary: "This book concerns software design. Although many current discussions of scientific programming focus on scalable performance, this book focuses on scalable design. 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 it 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"--Provided by publisher.
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Item type Current location Home library Call number Status Date due Barcode Item holds
EBOOK EBOOK COLLEGE LIBRARY
COLLEGE LIBRARY
005.1 R762 2011 (Browse shelf) Available CL-46090
Total holds: 0

Includes bibliographical references (p. 373-378) and index.

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.

"This book concerns software design. Although many current discussions of scientific programming focus on scalable performance, this book focuses on scalable design. 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 it 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"--Provided by publisher.

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