Symbolically Derived Jacobians Using Automatic Differentiation - Enhancement of the OpenModelica Compiler-Reference-Cited by-同舟云学术

Symbolically Derived Jacobians Using Automatic Differentiation - Enhancement of the OpenModelica Compiler

Published:2011-06-30 Issue: Volume: Page:
ISSN:1650-3686
Container-title:Linköping Electronic Conference Proceedings
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Author:

Braun Willi,Ochel Lennart,Bachmann Bernhard

Publisher

Linköping University Electronic Press

Link

http://www.ep.liu.se/ecp/063/056/ecp11063056.pdf

Reference5 articles.

1. Sensitivity analysis of Modelica applications via automatic differentiation;Elsheikh,2008

2. Using Modelica models in real time dynamic optimization – gradient computation

3. Regelungstechnik 2 – Beobachterentwurf, Springer-Lehrbuch, Springer Berlin Heidelberg, 2010.;Lunze

4. Otter M.: Objektorientierte Modellierung Physikalischer Systeme (Teil 4) Transformationsalgorithmen, Automatisierungstechnik, Oldenbourg Verlag München, 1999.

5. Petzold L. R.: A Description of DASSL: A Differential/Algebraic System Solver, Sandia National Laboratories Livermore, 1982.

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