Automatic Differentiation in the Optimization of Imaging Optical Systems

• Authors: Jürgen Werner , Matthias Hillenbrand , Armin Hoffmann , Stefan Sinzinger
• Languages of publication: PL

Abstracts

PL

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.

Keywords

PL

automatic differentiation, optimization, lens design

• Publisher: [unknown2]
• Journal: Schedae Informaticae
• Year: 2012
• Volume: 21

Dates

published

2012

online

21 - 05 - 2015

Contributors

author

Jürgen Werner

author

Matthias Hillenbrand

author

Armin Hoffmann

author

Stefan Sinzinger