./wip/polymul, Fast multivariate polynomial multiplication in C++

[ CVSweb ] [ Homepage ] [ RSS ] [ Required by ] [ Add to tracker ]

Branch: CURRENT, Version: 1.01, Package name: polymul-1.01, Maintainer: jihbed.research

Polymul is a self-contained C++ template library for efficient multiplication
of multivariate polynomials. It is intended for low order polynomials of a few
variables, but is in principle limited only by the compiler's maximum template
recursion depth.Polynomials can be created over any scalar type, such as
integers or floating point numbers.

In addition to normal polynomial multiplication the library can also do
truncated (Taylor series) multiplication, as well as linear changes of
coordinates. Polynomials can also be evaluated at arbitrary points.


Required to run:
[lang/python37]

Required to build:
[pkgtools/cwrappers]

Master sites:

RMD160: ebd3456a0db36ee2e5ee0ece171fc23aaf714aa7
Filesize: 16.837 KB

Version history: (Expand)

CVS history: (Expand)


   2012-11-23 23:33:41 by othyro | Files touched by this commit (22) 
Log message:
Mostly whitespace and blank line fixing. Some files also got minor
formatting corrections as well as other corrections.
   2012-10-05 15:52:02 by Aleksej Saushev | Files touched by this commit (32) 
Log message:
Drop superfluous PKG_DESTDIR_SUPPORT, "user-destdir" is default these days.
Mark packages that don't or might probably not have staged installation.
   2011-10-28 22:22:15 by Kamel Derouiche | Files touched by this commit (5) | Imported package
Log message:
Import polymul-1.01 as wip/polymul.

Polymul is a self-contained C++ template library for efficient multiplication
of multivariate polynomials. It is intended for low order polynomials of a few
variables, but is in principle limited only by the compiler's maximum template
recursion depth.Polynomials can be created over any scalar type, such as 
integers or floating point numbers.

In addition to normal polynomial multiplication the library can also do \ 
truncated (Taylor series) 
multiplication, as well as linear changes of coordinates. Polynomials can also \ 
be evaluated at arbitrary 
points