The conference merges activities of the two independent conference series MoRePaS and MODRED. The goal is to foster an international exchange of new concepts and ideas related to the following topics:
Parametric model order reduction
System-theoretic model reduction methods and frequency-domain methods
Data-driven approaches
Non-intrusive model order reduction
Machine learning/deep learning and model order reduction
Tensor methods
Kernel methods for nonlinear MOR
MOR for problems with poor Kolmogorov N-width decay (e.g. transport phenomena)
Structure-preserving and energy-based MOR (e.g. Hamiltonian or port-Hamiltonian systems)
Nonlinear model reduction
Localized MOR and multi-scale problems
Randomized algorithms
High dimensional parameter spaces and reduction in parameter space
Dynamic and adaptive approximations, error estimation
Multifidelity methods
MOR for uncertainty quantification
Model reduction for nonlinear bifurcating PDEs
Model reduction for optimization, control and inverse problems
MOR for multiphysics/multiphase problems
Large-scale applications, digital twins
MOR for industrial applications
Emerging computational technologies based on ROM
Model Reduction Software and Benchmarks
Previous MoRePaS editions were held in Münster (2009), Günzburg (2012), Trieste (2015) and Nantes (2018). Previous MODRED editions were held in Berlin (2010), Magdeburg (2013), Odense (2017) and Graz (2019).
Loading... 
