Open Source Computer Algebra Systems
timdaly writes "A while back Slashdot had an article decrying
the lack of a good open source computer algebra
system. That is changing. There is a
conference scheduled for the end of May to define the development model and strategy for future work. Students of math, science and engineering will find this valuable. If you're tired of hacking open source editors and want something with a real technical challenge this is the area for you."
A computer algebra system which is built in a bazaar is a Bad Idea.
With an operating system, it isn't all that critical if it crashes occasionally. Ok, it's a nuisance... but it won't go unnoticed, and someone will track down why it's crashing, and it will get fixed.
Computer algebra systems are rather more prone to undiscovered errors. It's very easy, for example, to write a long integer multiplication routine which works perfectly for integers less than 2^20 digits long, but starts to fail (deterministically, but without obvious pattern) for very rare inputs above that size. In a bazaar, where code is accepted from anyone, you're very likely to see this sort of buggy code get introduced.
With a closed (commercial) or pseudo-closed (not necessarily commercial, but within a university where everyone has scrutinized each other's credentials) environment, such errors are far less likely to exist. Computational mathematicians are paranoid about such errors; computational mathematicians will not introduce a piece of code unless they can *prove* that it will work.
Given enough eyes, all detected bugs will be fixed; but actually detecting those bugs in the first place is far from certain.
Tarsnap: Online backups for the truly paranoid
I have a collection of self-built RPMS for mathematics packages to try out if you like. Included are: drgenius, gap, geomview, gtkmathview, Macaulay2, maxima (a minor pain 'cause it depends on lisp), and others available at http://www.math.unl.edu/~rdieter. Enjoy.
I read the GiNac paper posted at the link.
Aldor (www.aldor.org) is a language that goes
well beyond the GiNaC language. It offers Types
as first-class objects (you can store them and
manipulate them), symbolic as well as numeric
evaluation, interpretation and compilation.
Frankly, though I'm certain to be flamed for this,
I find that doing computer algebra in C++ about
like doing division in roman numerals. It is
possible to do but it is the wrong notation and
notation is vital to thinking correctly (and
programming correctly). The closer a language's
syntax and semantics approaches to the problem
domain the fewer chances there are of mistakes.
I understood it to be a symbolic algebra package, somewhat like Maxima. (which is derived, I believe, from a version of Macsyma). Maxima is open-source but presumably the organisers of the conference consider it "not good enough" in some way.
Today we have muPAD (generally the smartest, pretty friendly, but only somewhat free), maxima (which is usable, but hardly polished), yacas (which I know nothing about), and emacs calc (which is very user-friendly but also the dumbest). None of them (well, maybe muPAD) are close to becoming rivals to the above-mentioned systems in terms of either user-friendlyness or features.
(Of course, this is not special for computer algebra systems. We also need better DMBS (and related tools, such as form-generators, report-generators, etc...), office productivity apps, cad, gis, groupware, financial stuff, graphics, dtp, music, etc...)
We plan to write a compiler for a new computer algebra system called mathemagix. We are searching potential contributors or people who would just like to give us some useful suggestions; the development is still in a very early stage due to my work on TeXmacs.
Still, people have learned quite a bit about algorithms, software engineering, and software reuse since Macsyma, Maple, and Mathematica were originally implemented, and it might well be worth thinking about having another go at a modern computer algebra system. I suspect that implementing it in something like ML or Haskell might help a lot with correctness and extensibility.