Does that require compiling with OpenMP?
Doug

On Tue, Mar 26, 2013 at 1:27 PM, Michael Barton <[email protected]>wrote:

>  i.pan.sharpen contains python code to do an inverse pca. It uses some of
> the new r.mapcalc capabilities to do parallel processing on multi-core
> processors. So it's pretty fast.
>
>  Michael
>         ____________________
> C. Michael Barton
> Director, Center for Social Dynamics & Complexity
> Professor of Anthropology, School of Human Evolution & Social Change
> Arizona State University
>
>  voice:  480-965-6262 (SHESC), 480-727-9746 (CSDC)
> fax:          480-965-7671 (SHESC),  480-727-0709 (CSDC)
> www: http://www.public.asu.edu/~cmbarton, http://csdc.asu.edu
>
>
>
>
>
>
>
>
>
>
>
>  On Mar 26, 2013, at 4:24 AM, <[email protected]>
>  wrote:
>
>  *From: *Martin Landa <[email protected]>
>  *Subject: **[GRASS-dev] calculating inverse matrix*
>  *Date: *March 26, 2013 4:20:08 AM MST
>  *To: *GRASS developers list <[email protected]>
>
>
> Hi all,
>
> I found several methods in GRASS code which compute inverse matrix
>
> 1) v.generalize
>
>
> http://trac.osgeo.org/grass/browser/grass/trunk/vector/v.generalize/matrix.c#L134
>
> 2) i.orto.photo
>
>
> http://trac.osgeo.org/grass/browser/grass/trunk/imagery/i.ortho.photo/lib/m_inverse.c#L16
>
> 3) GMath lib (depends on lapack/blas)
>
> http://trac.osgeo.org/grass/browser/grass/trunk/lib/gmath/la.c#L566
>
> It would be nice to consolidate it including data structures (modules
> noted above define their own data structures for matrix). In other
> worlds to incorporate v.generalize/i.orto.photo code into GMath lib.
> Any pointers here?
>
> Thanks, Martin
>
> --
> Martin Landa <landa.martin gmail.com> * http://geo.fsv.cvut.cz/~landa
>
>
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-- 
Doug Newcomb
USFWS
Raleigh, NC
919-856-4520 ext. 14 [email protected]
---------------------------------------------------------------------------------------------------------
The opinions I express are my own and are not representative of the
official policy of the U.S.Fish and Wildlife Service or Dept. of the
Interior.   Life is too short for undocumented, proprietary data formats.
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