#WOLFRAM MATHEMATICA 7 TORRENT HOW TO#
#WOLFRAM MATHEMATICA 7 TORRENT PROFESSIONAL#

From a programming/features perspective, each has its own strengths-and weaknesses. I've used Maple, Mathematica, and SAS, among other products, for mathematical and/or statistical analysis. But it's closed source nature, combined with its almost universal presence in scientific research is very troubling. Maybe physicists use it, but I'd have my doubts.

#WOLFRAM MATHEMATICA 7 TORRENT PROFESSIONAL#

You cannot use its results professional for anything other than integral tables or the like. I've said this before, but essentially Mathematica is the modern mathematical Oracle at Delphi arcane, totally inscrutable, and regarded by almost everyone as infallible. A lot of this has to do with running Mathematica and the like on Linux, which is a painful process, but the peer reviewable nature of an open source system is another major factor. Despite its obvious technical inferiority, I'm using Maxima to do this. In my work, I am using CAS systems to perform integrals on what would be otherwise an unmanageable amount of equations, in order to generate some nice neat, but still quite large matrices. I work on pretty much a daily basis with computer algebra systems.

With Mathematica, you have to trust that the methods they use, which you can't see, are legitimate and don't introduce any unforeseen error.

#WOLFRAM MATHEMATICA 7 TORRENT HOW TO#

The tutorial shows you how to do lots of fancy things using examples from abstract algebra, but doesn't tell you ordinary, useful things, like how to integrate x^a. It's not packaged properly for debian/ubuntu. (E.g., sage computes (2^123456789-1)%(2^12345678-1) in about 10 s, whereas ordinary python takes longer to evaluate (2**123456789-1)%(2**12345678-1) than I was willing to wait.) Cons: It's basically a hairball of other math packages, and the interface to other packages often doesn't seem to be very good. Sage implements arbitrary-precision arithmetic much more efficiently than programs that use the GMP library.

Sage - Pros: Sage lets you program in python, so if you want to mix in some general-purpose programming, python libraries, etc., you can.

Axiom - Has a complete implementation of the Risch algorithm, so it can do some integrals that other programs can't.

Somewhat buggy, and fails more often than Maxima does.

Yacas - Unlike Maxima, is designed to be suitable for both interactive and noninteractive use.

It's only suitable for interactice use e.g., if you do certain integrals, it will ask you whether a particular constant occurring in the integrand is positive.

Maxima - In my experience, it's very mature and bug-free.

For anyone who's specifically interested in OSS that runs on Linux, here are some of my impressions:

Most of my analytical work on a daily basis is done using Maxima and I can safely say that the program could be a lot better than it currently is. (%i14) trigsimp(Q.trigsimp(T.transpose(Q))) Д¬omputer algebra systems are not the best to begin with, but Maxima has a very, very long way to go before it can compete with Mathematica. To reenable the Lisp debugger set *debugger-hook* to nil. Universal error handler called recursively (:ERROR NILД®rror in CONDITIONS::CLCS-UNIVERSAL-ERROR-HANDLER : Caught fatal error See the file COPYING.Дedicated to the memory of William Schelter. Using Lisp GNU Common Lisp (GCL) GCL 2.6.8 (aka GCL)Дistributed under the GNU Public License.

Here's a session from just this 14:45:36 ~]$ maxima

Wolfram mathematica 7 torrent