R - For statistical computing and analysis in the Open Source world, it doesn’t get any better than R. It is a programming language and environment that enables you to do pretty much anything that the commercial software (S-Plus) does. It is so widely adopted that it can be considered a standard in the field.
lpsolve is another one that I like for linear (integer) programming. LaTeX is also a great tool - a typesetting system; it includes features designed for the production of technical and scientific documentation (many will already be familiar with it but if you are not, check it out).
Related: Statistics for Experimenters Second Edition - Online Mathematics Textbooks - Annals of Mathematics - Open Source for LEGO Mindstorms
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June 2nd, 2007 at 6:14 pm
For several–specific–numerical mathematical routines, there is also the following URL:
http://www.akiti.ca/Mathfxns.html
The routines posted off this page are based on good-quality code, mostly from the NETLIB repository of algorithms. Very handy (quick, easy-to-use, and free!) for when numbers are required, but a user might not want to install and start up a whole software package.
– Robert