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cs.MS2018
Algorithmic Differentiation for Domain Specific Languages
Max Sagebaum, Nicolas R. Gauger
Algorithmic Differentiation (AD) can be used to automate the generation of derivatives in arbitrary software projects. This will generate maintainable derivatives, that are always…
cs.MS2017
High-Performance Derivative Computations using CoDiPack
Max Sagebaum, Tim Albring, Nicolas R. Gauger
There are several AD tools available, which all implement different strategies for the reverse mode of AD. The major strategies are primal value taping (implemented e.g. by ADOL-c)…