Scientific Software Design

Scientific Software Design
The Object-Oriented Way

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.

Table of Contents
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.