Automatic Differentiation in the Optimization of Imaging Optical Systems
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Automatic differentiation is an often superior alternative to numerical differentiation that is yet unregarded for calculating derivatives in the optimization of imaging optical systems. We show that it is between 8% and 34% faster than numerical differentiation with central difference when optimizing various optical systems.
21 - 05 - 2015
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