ADiMat is a software tool implementing the technology of automatic differentiation (AD) to programs written in MATLAB which is a trademark of The Mathworks, Inc. ADiMat is based on a source transformation approach. That is, it transforms a given MATLAB code for the evaluation of some mathematical function into a new MATLAB code for the evaluation of user-specified derivatives of that function.
Keywords for this software
References in zbMATH (referenced in 10 articles , 2 standard articles )
Showing results 1 to 10 of 10.
- Di, Zichao (Wendy); Leyffer, Sven; Wild, Stefan M.: Optimization-based approach for joint X-ray fluorescence and transmission tomographic inversion (2016)
- Meyer, C.; Schnepp, S.M.; Thoma, O.: Optimal control of the inhomogeneous relativistic Maxwell-Newton-Lorentz equations (2016)
- Khuvis, Samuel; Gobbert, Matthias K.; Peercy, Bradford E.: Time-stepping techniques to enable the simulation of bursting behavior in a physiologically realistic computational islet (2015)
- Moré, Jorge J.; Wild, Stefan M.: Do you trust derivatives or differences? (2014)
- Lampoh, Komlanvi; Charpentier, Isabelle; Daya, El Mostafa: A generic approach for the solution of nonlinear residual equations. III: Sensitivity computations (2011)
- Bischof, Christian H.; Hovland, Paul D.; Norris, Boyana: On the implementation of automatic differentiation tools (2008)
- Bücker, H.Martin; Petera, Monika; Vehreschild, Andre: Code optimization techniques in source transformations for interpreted languages (2008)
- Bücker, H.Martin; Vehreschild, Andre: Coping with a variable number of arguments when transforming MATLAB programs (2008)
- Bischof, Christian H.; Bücker, H.Martin; Vehreschild, Andre: A macro language for derivative definition in ADiMat (2006)
- Bischof, Christian; Lang, Bruno; Vehreschild, Andre: Automatic differentiation for MATLAB programs (2003)
Further publications can be found at: http://www.sc.rwth-aachen.de/Publications/publications.html