Numerical Linear Algebra in arbitrary precision

Tim Roberts timr at probo.com
Fri Feb 17 07:09:11 CET 2012


Ken <ken.allen at sbcglobal.net> wrote:
>
>Brand new Python user and a bit overwhelmed with the variety of
>packages available.  Any recommendation for performing numerical
>linear algebra (specifically least squares and generalized least
>squares using QR or SVD) in arbitrary precision?  I've been looking at
>mpmath but can't seem to find much info on built in functions except
>for LU decomposition/solve.

It is been my experience that numpy is the best place to start with
requests like this, although I don't know whether it will actually solve
your specific tasks:

http://docs.scipy.org/doc/numpy/reference/routines.linalg.html
-- 
Tim Roberts, timr at probo.com
Providenza & Boekelheide, Inc.



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