Du är här

Generation of Sparse Jacobians for the Function Mock-Up Interface 2.0

Författare:
  • Johan Åkesson (Assistant Professor)
  • Willi Braun
  • Petter Lindholm
  • Bernhard Bachmann
Publiceringsår: 2012
Språk: Engelska
Dokumenttyp: Konferensbidrag
Additional info: Key=ake+12mc project=LCCC-modeling

Sammanfattning

Derivatives, or Jacobians, are commonly required by numerical algorithms. Access to accurate Jacobians often improves the performance and robustness of algorithms, and in addition, efficient implementation of Jacobian computations can reduce the over-all execution time. In this paper, we present methods for computing Jacobians in the context of the Functional Mock-up Interface (FMI), and Modelica. Two prototype implementations, in JModelica.org and OpenModelica are presented and compared in industrial benchmarks.

Disputation

Nyckelord

  • Technology and Engineering
  • Functional Mock-up
  • Interface Analytic Jacobians
  • Automatic Differentiation
  • JModelica.org OpenModelica

Övriga

9th International Modelica Conference
2012-09-03
Munich, Germany
Inpress
  • LCCC
Yes
  • LCCC

Box 117, 221 00 LUND
Telefon 046-222 00 00 (växel)
Telefax 046-222 47 20
lu [at] lu [dot] se

 

Fakturaadress: Box 188, 221 00 LUND
Organisationsnummer: 202100-3211
Om webbplatsen