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.