On Wed, Oct 17, 2012 at 12:23:12AM +0200, Timo Bretten wrote: > That works indeed, cheers Nir! > I was confused because by default, wt is set to ones(size(y)) ... also
ones(size(y)) have the same dimensions as y > from the documentation - which kind of clashed with the initial > statement, that wt should be of the same dimension as y ... so there should be no clash of these statements. > Anyways, thanks for the quick reply, I consider my problem fixed. But for the record, you do not need to specify weights if they are constant. Olaf > Timo > > 2012/10/17 Nir Krakauer <nkraka...@ccny.cuny.edu>: > > Hi Timo, > > > > As far as I can tell from the documentation ( > > http://octave.sourceforge.net/optim/function/leasqr.html ), wt is an N*1 > > vector. If your estimated error standard deviation is constant and equal to > > noize, you would set wt = ones(n, 1) / noize > > > > Nir > > ------------------------------------------------------------------------------ > Everyone hates slow websites. So do we. > Make your web apps faster with AppDynamics > Download AppDynamics Lite for free today: > http://p.sf.net/sfu/appdyn_sfd2d_oct > _______________________________________________ > Octave-dev mailing list > Octave-dev@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/octave-dev -- public key id EAFE0591, e.g. on x-hkp://pool.sks-keyservers.net
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