This repository contains an updated version of the Weyl computer algebra substrate from Cornell University. It is ASDF loadable, and uses Closer-MOP. It currently is known to work with SBCL, CCL, ECL, LispWorks (and probably many others).
The original sources were extracted from the SimLab release 1-0.
Weyl is an extensible algebraic manipulation substrate that has been designed to represent all types of algebraic objects. It deals not only with the basic symbolic objects like polynomials, algebraic functions and differential forms, but can also deal with higher level objects like groups, rings, ideals and vector spaces. Furthermore, to encourage the use of symbolic techniques within other applications, Weyl is implemented as an extension of Common Lisp using the Common Lisp Object Standard so that all of Common Lisp’s facilities and development tools can be used in concert with Weyl’s symbolic tools.
- Install quicklisp http://www.quicklisp.org/beta/.
- Clone the Weyl repository,
> git clone [email protected]:matlisp/weyl.git #or, [email protected]:OdonataResearchLLC/weyl.git
> ln -s $PWD/matlisp <quicklisp-directory>/local-projectsFire up your lisp implementation and load as usual with quicklisp:
CL-USER> (ql:quickload :weyl)
CL-USER> (in-package :weyl)
WEYL>The PDF form of a comprehensive manual is available in file
weyl/reference/Weyl Manual.pdf
This manual gives many examples of the use of Weyl and the meshing code.
Please perform pull requests on the devel branch.
- (0.2.0) Write unit tests based on the examples in the manual.
- Implement custom conditions.
- Better separate the definitions in WEYL from WEYLI. It would be nice to have a WEYL-KERNEL, WEYL, and a WEYL-USER package.
The WEYL-KERNEL package would form the core routines for WEYL and WEYL-USER. The WEYL package would be used by other packages. The WEYL-USER package would be for interactive use. This approach would hopefully negate the necessity for `use-weyl-package`.
All code is copyrighted Cornell University, 1995.
Code has been developed by Paul Chew, Paul Jackson, Shekar Muddana, Rick Palmer, Todd Wilson and Richard Zippel in the Simlab group at Cornell University.
This work was supported in part by the Advanced Research Projects Agency of the Department of Defense under ONR Contract N00014–92–J–1989, by ONR Contract N00014–92–J–1839, and in part by the U.S. Army Research Office through the Mathematical Science Institute of Cornell University.
This material is NOT Public Domain, but permission to copy this software, to redistribute it, and to use it for any purpose is granted, subject to the following restrictions and understandings.
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