Numerical Linear Algebra in arbitrary precision
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:
Tim Roberts, timr at probo.com
Providenza & Boekelheide, Inc.
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