Johannes Lotz

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are in general accessible through the World Wide Web. Abstract. Algorithmic differentiation (AD) is a mathematical concept which evolved over the last decades to a very robust and well understood tool for computation of derivatives. It can be applied to mathematical algorithms, codes for numerical simulation, and whenever derivatives are needed. In this(More)
We discuss software tool support for the algorithmic differentiation (AD), also known as automatic differentiation, of numerical simulation programs that contain calls to solvers for parameterized systems of <i>n</i> nonlinear equations. The local computational overhead and the additional memory requirement for the computation of directional derivatives or(More)
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