Accelerating the Simulation of Equation-based Models by Replacing Non-linear Algebraic Loops With Error-controlled Machine Learning Surrogates

Autor/innen

  • Andreas Heuermann Bielefeld University of Applied Sciences
  • Bernhard Bachmann Bielefeld University of Applied Sciences

Downloads

Veröffentlicht

2024-02-26

Zitationsvorschlag

1.
Heuermann A, Bachmann B. Accelerating the Simulation of Equation-based Models by Replacing Non-linear Algebraic Loops With Error-controlled Machine Learning Surrogates. MODPROD [Internet]. 26. Februar 2024 [zitiert 3. Juli 2024];31(17):34. Verfügbar unter: https://wcc.ep.liu.se/index.php/MODPROD/article/view/1061

Ausgabe

Bd. 31 Nr. 17 (2023): Proceedings of the 17th MODPROD Workshop 2023, February 7-8, Linköping University

Rubrik

Session 5a 2023: Standards and Languages for Model-based Engineering