A Gradient Descent Trust Region Optimizer

Brooks, Rupert1*
1.Elekta LTD, Soft Tissue Imaging
Abstract

Abstract

This document describes a new simple gradient descent optimizer which is a potential replacement or supplement for RegularStepGradientDescentOptimizer. The optimizer requires only the gradient of the parameters and uses a simple linear model internally. However, it follows the theoretical basis of a trust-region algorithm and is able to achieve greater efficiency on certain image registration cases.

Keywords

trust regionregistrationoptimization
Manuscript
Source Code and Data

Source Code and Data

GradientDescentTrustRegionCMakeLists.txt2.5 KBCommandObserver.h1.7 KBIJMacros.txt7.6 KBImageRegistration1.cxx30.6 KBImageRegistration12.cxx15.2 KBImageRegistration13.cxx12.9 KBImageRegistration18.cxx8.8 KBImageRegistration20.cxx15.9 KBImageRegistration3.cxx14.6 KBImageRegistration4.cxx21.1 KBImageRegistration5.cxx25.8 KBImageRegistration6.cxx25.1 KBImageRegistration7.cxx19.8 KBImageRegistration9.cxx21.5 KBMultiResImageRegistration1.cxx21.6 KBMultiResImageRegistration2.cxx22.4 KBRegistrationObserver.h2.7 KBitkGradientDescentTrustRegionOptimizer.cxx10.5 KBitkGradientDescentTrustRegionOptimizer.h7 KBitkGradientDescentTrustRegionOptimizerTest.cxx8.2 KBitkRegularStepGradientDescentOptimizerTest.cxx7.5 KBtapirTrustRegionOptimizer.cpp9.2 KBtapirTrustRegionOptimizer.h5.3 KB

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