24 citations · 35 across the 3 of their papers we have counts for
3 papers
Multilevel Monte Carlo estimators for derivative-free optimization under uncertainty
Friedrich Menhorn, Gianluca Geraci, D. Thomas Seidl +3
Optimization is a key tool for scientific and engineering applications, however, in the presence of models affected by uncertainty, the optimization formulation needs to be extende…
Machine Learning-Based Optimal Mesh Generation in Computational Fluid Dynamics
Keefe Huang, Moritz Krügener, Alistair Brown +3
Computational Fluid Dynamics (CFD) is a major sub-field of engineering. Corresponding flow simulations are typically characterized by heavy computational resource requirements. Oft…
A trust-region method for derivative-free nonlinear constrained stochastic optimization
F. Menhorn, F. Augustin, H. -J. Bungartz +1
In this work we introduce the stochastic nonlinear constrained derivative-free optimization method (S)NOWPAC (Stochastic Nonlinear Optimization With Path-Augmented Constraints). Th…