Novell files Offer of Proof Re Prior Inconsistent Declaration of Sabbath

 
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Old 03-16-2010
Novell files Offer of Proof Re Prior Inconsistent Declaration of Sabbath

Novell has filed a Notice of Filing of Offer of Proof Regarding Prior Inconsistent Declaration of Steven Sabbath. It is making a record that SCO was allowed to present testimony in direct examination that Novell knew was contradicted by deposition testimony, but then Novell couldn't tell the jury about it, because of rulings by the judge.
I gather Novell has noticed what you have, that the judge's ruling was not fair to Novell.So they are making a record, listing very thoroughly why the deposition is allowable under the rules, how they would have used it to rebut SCO's witnesses, and precisely how the materials are contradictory. This may be related to the discussion we heard about yesterday, where it was discussed if Ms. Madsen would have to return. It surely will be part of any appeal, should it prove necessary. But the judge can simply change his ruling, solving the issue.

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Gaussian(3pm)						User Contributed Perl Documentation					     Gaussian(3pm)

NAME
PDL::Fit::Gaussian - routines for fitting gaussians DESCRIPTION
This module contains some custom gaussian fitting routines. These were developed in collaboration with Alison Offer, they do a reasonably robust job and are quite useful. Gaussian fitting is something I do a lot of, so I figured it was worth putting in my special code. Note it is not clear to me that this code is fully debugged. The reason I say that is because I tried using the internal linear eqn solving C routines called elsewhere and they were giving erroneous results. So steal from this code with caution! However it does give good fits to reasonable looking gaussians and tests show correct parameters. KGB 29/Oct/2002 SYNOPSIS
use PDL; use PDL::Fit::Gaussian; ($cen, $pk, $fwhm, $back, $err, $fit) = fitgauss1d($x, $data); ($pk, $fwhm, $back, $err, $fit) = fitgauss1dr($r, $data); FUNCTIONS
fitgauss1d Fit 1D Gassian to data piddle ($cen, $pk, $fwhm, $back, $err, $fit) = fitgauss1d($x, $data); ($cen, $pk, $fwhm, $back, $err, $fit) = fitgauss1d($x, $data); xval(n); data(n); [o]xcentre();[o]peak_ht(); [o]fwhm(); [o]background();int [o]err(); [o]datafit(n); [t]sig(n); [t]xtmp(n); [t]ytmp(n); [t]yytmp(n); [t]rtmp(n); Fits a 1D Gaussian robustly free parameters are the centre, peak height, FWHM. The background is NOT fit, because I find this is generally unreliable, rather a median is determined in the 'outer' 10% of pixels (i.e. those at the start/end of the data piddle). The initial estimate of the FWHM is the length of the piddle/3, so it might fail if the piddle is too long. (This is non-robust anyway). Most data does just fine and this is a good default gaussian fitter. SEE ALSO: fitgauss1dr() for fitting radial gaussians fitgauss1dr Fit 1D Gassian to radial data piddle ($pk, $fwhm2, $back, $err, $fit) = fitgauss1dr($r, $data); ($pk, $fwhm2, $back, $err, $fit) = fitgauss1dr($r, $data); xval(n); data(n); [o]peak_ht(); [o]fwhm(); [o]background();int [o]err(); [o]datafit(n); [t]sig(n); [t]xtmp(n); [t]ytmp(n); [t]yytmp(n); [t]rtmp(n); Fits a 1D radial Gaussian robustly free parameters are the peak height, FWHM. Centre is assumed to be X=0 (i.e. start of piddle). The background is NOT fit, because I find this is generally unreliable, rather a median is determined in the 'outer' 10% of pixels (i.e. those at the end of the data piddle). The initial estimate of the FWHM is the length of the piddle/3, so it might fail if the piddle is too long. (This is non-robust anyway). Most data does just fine and this is a good default gaussian fitter. SEE ALSO: fitgauss1d() to fit centre as well. BUGS
May not converge for weird data, still pretty good! AUTHOR
This file copyright (C) 1999, Karl Glazebrook (kgb@aaoepp.aao.gov.au), Gaussian fitting code by Alison Offer (aro@aaocbn.aao.gov.au). All rights reserved. There is no warranty. You are allowed to redistribute this software / documentation under certain conditions. For details, see the file COPYING in the PDL distribution. If this file is separated from the PDL distribution, the copyright notice should be included in the file. perl v5.14.2 2012-05-30 Gaussian(3pm)