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Symbolically Derived Jacobians Using Automatic Differentiation - Enhancement of the OpenModelica Compiler
- Source :
- Linköping Electronic Conference Proceedings.
- Publication Year :
- 2011
- Publisher :
- Linköping University Electronic Press, 2011.
-
Abstract
- Jacobian matrices are used in a wide range of applications - from solving the original DAEs to sensitivity analysis. Using Automatic Dierentiation the necessary partial derivatives can be provided eciently within a Modelica-Tool. This paper describes the corresponding implementation work within the OpenModelica Compiler (OMC) to create a symbolic derivative module. This new OMC-feature generates symbolically partial derivatives in order to calculate Jacobian matrices with respect to dierent variables. Applications
Details
- ISSN :
- 16503686
- Database :
- OpenAIRE
- Journal :
- Linköping Electronic Conference Proceedings
- Accession number :
- edsair.doi...........61a239326567e557a8a685d2cd8f2cb2
- Full Text :
- https://doi.org/10.3384/ecp11063495