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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

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