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Re: 3D data set

  • To: mathgroup at
  • Subject: [mg51070] Re: 3D data set
  • From: p-valko at (Peter Valko)
  • Date: Sun, 3 Oct 2004 05:47:48 -0400 (EDT)
  • References: <cjdq0q$ar3$>
  • Sender: owner-wri-mathgroup at

First I would try a two-parameter minimization of   
Sum[ (x- b Sin[a z])^2+(y - b Cos[a z])^2, go through points] 

If it works, I would look up the "error-in-variables" methods that is
a generalization of the least squares method for the case when all
variables (x,y,z) are corrupted by errors.


Giovanni Bellesia <giovanni.bellesia at> wrote in message news:<cjdq0q$ar3$1 at>...
> Dear all,
> I have a general question regarding a topic which is not 
> completely new to the forum.
> I have a 3D data set (from a Monte Carlo simulation) which are supposed 
> to lay approximately on a helix.
> Does anybody knows a clear and efficient procedure to fit these points 
> to a regular, circular helix.
> I read something about this in a message dated may 2004 by D.L. but I 
> wasn't able to download the related files
> Thanks
> Giovanni

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