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Writing Scientific Software

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Writing Scientific Software

Writing Scientific Software

A Guide to Good Style

316 pages, parution le 15/09/2006

Résumé

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.

  • Gives tips, hints and guidelines for good style in C, C++, Fortran 90 and Java
  • Covers important development tools such as profilers, version control and automated builds
  • Describes template programming and techniques for high-performance software

L'auteur David E. Stewart

David E. Stewart; University of Iowa

Sommaire

  • Numerical Software:
    • Why numerical software?
    • Scientific computation and numerical analysis
    • Priorities
    • Famous disasters
    • Exercises
  • Developing Software:
    • Basics of computer organization
    • Software design
    • Modularity and all that
    • Data structures
    • Design for testing and debugging
    • Exercises
  • Efficiency in Time, Efficiency in Memory
    • Be algorithm aware
    • Computer architecture and efficiency
    • Global vs. local optimization
    • Grabbing memory when you need it
    • Memory bugs and leaks
  • Tools:
    • Sources of scientific software
    • Unix tools
    • Cubic spline function library
    • Multigrid algorithms
    • Appendix A: review of vectors and matrices
    • Appendix B: trademarks
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Caractéristiques techniques du livre "Writing Scientific Software"

  PAPIER
Éditeur(s) Cambridge University Press
Auteur(s) Suely Oliveira, David E. Stewart
Parution 15/09/2006
Nb. de pages 316
Format 18 x 24,5
Couverture Broché
Poids 550g
Intérieur Noir et Blanc
EAN13 9780521675956
ISBN13 978-0-521-67595-6

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