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Book description
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.
Part Numerical Software:
Why numerical software?
Scientific computation and numerical analysis
Priorities
Famous disasters
Exercises
Part Developing Software:
Basics of computer organization
Software design
Modularity and all that
Data structures
Design for testing and debugging
Exercises
Part 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
Part Tools:
Sources of scientific software
Unix tools
Cubic spline function library
Multigrid algorithms
Appendix review of vectors and matrices
Appendix trademarks