Christoph Höger
Department of Software Engineering and Theoretical Computer Science, Technische Universität Berlin, Germany
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http://dx.doi.org/10.3384/ecp13090002Ingår i: Proceedings of the 4th Analytic Virtual Integration of Cyber-Physical Systems Workshop; December 3; Vancouver; Canada
Linköping Electronic Conference Proceedings 90:2, s. 5-12
Publicerad: 2013-11-13
ISBN: 978-91-7519-451-6
ISSN: 1650-3686 (tryckt), 1650-3740 (online)
Current equation–based object–oriented modeling languages offer great means for composition of models and source code reuse. Composition is limited to the source level; though: There is currently no way to compose precompiled model fragments. In this work we present t(n;p); a language which aims to overcome this deficiency. By using automatic differentiation directly in the language semantics; t(n;p)offers the ability to implement index-reduction and causalisation of equation-terms without knowing their source-level representation. The semantics of t(n;p)allow for calculation of arbitrary-order partial and total derivatives of pre-compiled terms.
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