[Insight-users] levenberg marquadet or other newton-like optimizer for single-value cost function

[Karthik Krishnan]

Moti:

There isn't a Newton single valued optimizer in ITK. However there are
quasi-newton single valued optimizers in VTK such as
   itkConjugateGradientOptimizer
   itkLBFGSBOptimizer

Newton optimizers are great to minimize quadratic objectives.... not so
great work so great on noisy images. .


-- 
Karthik Krishnan
R&D Engineer,
Kitware Inc.
Ph: 518 371 3971 x119
Fax: 518 371 3971

On 10/31/07, Moti Freiman <freiman at cs.huji.ac.il> wrote:
>
>
> Hi All,
> I'm searching for optimizer to my registration application.
> Since gradient decent based algorithms in itk don't take into account the
> second order infromation (hessian), I assume that they tend to use more
> iterations than newton like methods, include the levenberg marquadet
> optimizer.
> However I did not find an Newton like optimizer that can optimize a single
> value cost function (like NCC). Any ideas?
> Is there any reason that the levenberg marquaedt designed just for
> multiple value cost function?
> Thanks,
> Moti
> --
> __
> Moti Freiman, Ph.D Student.
> Medical Image Processing and Computer-Assisted Surgery Laboratory.
> School of Computer Science and Engineering.
> The Hebrew University of Jerusalem Givat Ram, Jerusalem 91904, Israel
> Phone: +(972)-2-658-5371 (laboratory)
> WWW site: http://www.cs.huji.ac.il/~freiman<http://www.cs.huji.ac.il/%7Efreiman>
>
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