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- W1990386935 abstract "For numerous applications, the computation and provision of exact derivative information plays an important role for optimizing the considered system but quite often also for its simulation. This presentation introduces the technique of Algorithmic Differentiation (AD), a method to compute derivatives of arbitrary order within working precision. Quite often an additional structure exploitation is indispensable for a successful coupling of these derivatives with state‐of‐the‐art optimization algorithms. The talk will discuss two important situations where the problem‐inherent structure allows a calculus‐based optimization. Examples from aerodynamics and nano optics illustrate these advanced optimization approaches." @default.
- W1990386935 created "2016-06-24" @default.
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- W1990386935 date "2010-01-01" @default.
- W1990386935 modified "2023-10-12" @default.
- W1990386935 title "Algorithmic Differentiation for Calculus-based Optimization" @default.
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- W1990386935 doi "https://doi.org/10.1063/1.3506120" @default.
- W1990386935 hasPublicationYear "2010" @default.
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