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Showing 1 to 4 of 4 for “"Automatische Differentiation"”.
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Algorithmic differentiation of Java programs
… used to obtain computer derivatives is Automatic Differentiation (AD). The fact that to date no usable AD tool implementation exists for Java motivated the development of an AD tool for the Java language. Because of the portability and simplicity in terms of standardization provided by the Java …
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Efficient computation of derivatives for optimal experimental design
… problems, are obtained by applying automatic differentiation to the simulation code. Since compared to the original function evaluation, the derivative calculation is often significantly more expensive in terms of execution time and memory requirement, several strategies for improving the …
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Automatic differentiation of the CapeML high-level language for process engineering
… derivatives are determined by means of Automatic Differentiation (AD) techniques. The transformation rules of ADiCape are implemented in eXtensible Style-sheet Language Transformation (XSLT), a template-based transformation language for structured XML-based data. As it turns out, its functional …
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Iterative solvers in implicit time integration for compressible flows
… method. For the implementation we use automatic differentiation providing a robust and reliable scheme that has better convergence properties compared with a corresponding divided differencing method. Using the second order matrix-free evaluation of the matrix-vector product the corresponding …