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

Andreas Heuermann; Bernhard Bachmann

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

Authors

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

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Published

2024-02-26

How to Cite

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]. 2024 Feb. 26 [cited 2024 Dec. 21];31(17):34. Available from: https://wcc.ep.liu.se/index.php/MODPROD/article/view/1061

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Issue

Vol. 31 No. 17 (2023): Proceedings of the 17th MODPROD Workshop 2023, February 7-8, Linköping University

Section

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