[OctDev] Nonlinear optimization tutorial

[Etienne G. <et...@is...>]

  Hello,

I attach a little (3 pages) tutorial which I just wrote on how to do
nonlinear optimization using octave. Feedback welcome.

  In it, I use a front-end function (optimize()) and one of the
back-ends is my conjugate-gradient function cg_min(). The front-end
allows me to make the tutorial very simple and I prefer cg_min() to
dfp() or bfgs() because it has the same interface as my other optim
functions.

  Uploading the tutorial would only make sense if I also upload the
minimize() and cg_min() functions. I will send in a few minutes a mail
with my opinion on how a front-end to optimization could be. It is
mostly the same as the actual optimize() function. This is just a
suggestion, and is open for changes.

  Cheers,

  Etienne

-- 
Etienne Grossmann ------ http://www.isr.ist.utl.pt/~etienne