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Re: Inverse Matrix Function appears a bit wonky
From: |
Przemek Klosowski |
Subject: |
Re: Inverse Matrix Function appears a bit wonky |
Date: |
Thu, 4 Nov 2004 11:33:04 -0500 (EST) |
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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- 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