<div><br clear="all">Hi All,</div>
<div>I'm searching for optimizer to my registration application.</div>
<div>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.
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<div>However I did not find an Newton like optimizer that can optimize a single value cost function (like NCC). Any ideas?</div>
<div>Is there any reason that the levenberg marquaedt designed just for multiple value cost function?</div>
<div>Thanks,</div>
<div>Moti<br>-- <br>__<br>Moti Freiman, Ph.D Student.<br>Medical Image Processing and Computer-Assisted Surgery Laboratory.<br>School of Computer Science and Engineering.<br>The Hebrew University of Jerusalem Givat Ram, Jerusalem 91904, Israel
<br>Phone: +(972)-2-658-5371 (laboratory)<br>WWW site: <a href="http://www.cs.huji.ac.il/~freiman">http://www.cs.huji.ac.il/~freiman</a> </div>