Zum Hauptinhalt springen
Nicht aus der Schweiz? Besuchen Sie lehmanns.de
Writing Scientific Software - Suely Oliveira, David E. Stewart

Writing Scientific Software

A Guide to Good Style
Buch | Softcover
316 Seiten
2006
Cambridge University Press (Verlag)
978-0-521-67595-6 (ISBN)
CHF 87,25 inkl. MwSt
This manual of scientific computing style will prove to be an essential addition to the bookshelf and lab of everyone who writes numerical software. Scientists, engineers and computer scientists who follow its advice will learn how to write good software, and how to test it for bugs, accuracy and performance.
The core of scientific computing is designing, writing, testing, debugging and modifying numerical software for application to a vast range of areas: from graphics, meteorology and chemistry to engineering, biology and finance. Scientists, engineers and computer scientists need to write good code, for speed, clarity, flexibility and ease of re-use. Oliveira and Stewart's style guide for numerical software points out good practices to follow, and pitfalls to avoid. By following their advice, readers will learn how to write efficient software, and how to test it for bugs, accuracy and performance. Techniques are explained with a variety of programming languages, and illustrated with two extensive design examples, one in Fortran 90 and one in C++: other examples in C, C++, Fortran 90 and Java are scattered throughout the book. This manual of scientific computing style will be an essential addition to the bookshelf and lab of everyone who writes numerical software.

Suely Oliveira is Associate Professor of Computer Science at the University of Iowa. David Stewart is an Associate Professor in the Department of Mathematics at the University of Iowa.

Part I. Numerical Software: 1. Why numerical software?; 2. Scientific computation and numerical analysis; 3. Priorities; 4. Famous disasters; 5. Exercises; Part II. Developing Software: 6. Basics of computer organization; 7. Software design; 8. Modularity and all that; 9. Data structures; 10. Design for testing and debugging; 11. Exercises; Part III. Efficiency in Time, Efficiency in Memory: 12. Be algorithm aware; 13. Computer architecture and efficiency; 14. Global vs. local optimization; 15. Grabbing memory when you need it; 16. Memory bugs and leaks; Part IV. Tools: 17. Sources of scientific software; 18. Unix tools; 19. Cubic spline function library; 20. Multigrid algorithms; Appendix A: review of vectors and matrices; Appendix B: trademarks; Bibliography; Index.

Erscheint lt. Verlag 7.9.2006
Zusatzinfo Worked examples or Exercises
Verlagsort Cambridge
Sprache englisch
Maße 246 x 174 mm
Gewicht 549 g
Themenwelt Mathematik / Informatik Informatik Software Entwicklung
ISBN-10 0-521-67595-2 / 0521675952
ISBN-13 978-0-521-67595-6 / 9780521675956
Zustand Neuware
Informationen gemäß Produktsicherheitsverordnung (GPSR)
Haben Sie eine Frage zum Produkt?
Mehr entdecken
aus dem Bereich
Grundlagen, Prozesse, Methoden und Werkzeuge

von Jörg Schäuffele; Thomas Zurawka

Buch | Hardcover (2024)
Springer Vieweg (Verlag)
CHF 153,95
Praxishandbuch für Java- und Webservice-Entwickler

von Kai Spichale

Buch | Softcover (2025)
dpunkt (Verlag)
CHF 62,85