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Re: Inverse Matrix Function appears a bit wonky
From: |
Michael Creel |
Subject: |
Re: Inverse Matrix Function appears a bit wonky |
Date: |
Fri, 05 Nov 2004 09:31:44 +0000 |
User-agent: |
KMail/1.7 |
For 2x2 matrices made up of integers between -3 and +3, the answer is
obviously 14.4%. If you can't see that at first sight, try running the
attached script. Sheesh!
Michael
On Thursday 04 November 2004 16:33, Przemek Klosowski wrote:
> Your arbitrary test matrix is ill-conditioned so any attempt to invert
> ...
> accuracy. For another example, try hilb(n) * inv(hilb(n)) for n = 1,
> 2, ..., 15. The Hilbert matrix is famously illconditioned for large n.
>
> it is so frequent that it's even funny: people come up with a random
> small-dimension matrix, typically made up of smallish integers, and
> get a singular one. Does anyone know how dense is the set of singular
> matrices in the set of all small-size, small-value matrices? is it
> really that dense, or are we having bad luck :)?
>
> p
>
>
>
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singular.m
Description: Text Data
- Inverse Matrix Function appears a bit wonky, Robert A. Macy, 2004/11/03
- Re: Inverse Matrix Function appears a bit wonky, Dmitri A. Sergatskov, 2004/11/03
- Re: Inverse Matrix Function appears a bit wonky, Robert A. Macy, 2004/11/04
- Re: Inverse Matrix Function appears a bit wonky, David Bateman, 2004/11/04
- Re: Inverse Matrix Function appears a bit wonky, John W. Eaton, 2004/11/04
- Re: Inverse Matrix Function appears a bit wonky, David Bateman, 2004/11/05
- Re: Inverse Matrix Function appears a bit wonky, John W. Eaton, 2004/11/05
- Re: Inverse Matrix Function appears a bit wonky, David Bateman, 2004/11/05
Re: Inverse Matrix Function appears a bit wonky, Geraint Paul Bevan, 2004/11/03