Algorithmic differentiation (AD) is a widely accepted methodology to obtain derivatives of scientific code for use in optimization, integration methods, and sensitivity analysis. Currently about 60 AD tools are listed on autodiff. org to compute sensitivity information. Several years have been invested in the research and development of popular implementations such as ADOL-C, CppAD, OpenAD, and...
