Purpose - The Reduced Basis Method (RBM) generates low-order models of parametrized PDEs to allow for efficient evaluation of parametrized models in many-query and real-time contexts. The purpose of this paper is to investigate the performance of the RBM in microwave semiconductor devices, governed by Maxwell's equations. Design/methodology/approach - The paper shows the theoretical framework in which the RBM is applied to Maxwell's equations and present numerical results for model reduction under geometry variation. Findings - The RBM reduces model order by a factor of $1,000 and more with guaranteed error bounds. Originality/value - Exponential convergence speed can be observed by numerical experiments, which makes the RBM a suitable meth...
Otto-von-Guericke-Universität Magdeburg, Fakultät für Mathematik, Dissertation, 2016von M. Sc. Marti...
Different strategies suitable to compare the performance of different model order reduction techniqu...
This Chapter introduces parameterized, or parametric, Model Order Reduction (pMOR). The Sections are...
Purpose - The Reduced Basis Method (RBM) generates low-order models of parametrized PDEs to allow fo...
The Reduced Basis Method (RBM) (Rozza et al., Archiv Comput Methods Eng 15:229–275, 2008) generates ...
The Reduced Basis Method (RBM) (Rozza et al., Archiv Comput Methods Eng 15:229–275, 2008) generates ...
A reliable reduced-order model (ROM) for fast frequency sweep in time-harmonic Maxwell’s equations b...
A reliable reduced-order model (ROM) for fast frequency sweep in time-harmonic Maxwell’s equations b...
The Reduced Basis Method (RBM) generates low-order models of parametrized partial differential equat...
International audienceIn this paper, a reduced basis approximation-based model order reduction for f...
In this work, a model order reduction technique for fast frequency sweep in microwave filters and di...
In this work, a model order reduction technique for fast frequency sweep in microwave filters and di...
Current computational resources are leading electromagnetic computer aided design towards brute-forc...
Current computational resources are leading electromagnetic computer aided design towards brute-forc...
In this work, we focus on obtaining an accurate and reliable physical-based description of the Elect...
Otto-von-Guericke-Universität Magdeburg, Fakultät für Mathematik, Dissertation, 2016von M. Sc. Marti...
Different strategies suitable to compare the performance of different model order reduction techniqu...
This Chapter introduces parameterized, or parametric, Model Order Reduction (pMOR). The Sections are...
Purpose - The Reduced Basis Method (RBM) generates low-order models of parametrized PDEs to allow fo...
The Reduced Basis Method (RBM) (Rozza et al., Archiv Comput Methods Eng 15:229–275, 2008) generates ...
The Reduced Basis Method (RBM) (Rozza et al., Archiv Comput Methods Eng 15:229–275, 2008) generates ...
A reliable reduced-order model (ROM) for fast frequency sweep in time-harmonic Maxwell’s equations b...
A reliable reduced-order model (ROM) for fast frequency sweep in time-harmonic Maxwell’s equations b...
The Reduced Basis Method (RBM) generates low-order models of parametrized partial differential equat...
International audienceIn this paper, a reduced basis approximation-based model order reduction for f...
In this work, a model order reduction technique for fast frequency sweep in microwave filters and di...
In this work, a model order reduction technique for fast frequency sweep in microwave filters and di...
Current computational resources are leading electromagnetic computer aided design towards brute-forc...
Current computational resources are leading electromagnetic computer aided design towards brute-forc...
In this work, we focus on obtaining an accurate and reliable physical-based description of the Elect...
Otto-von-Guericke-Universität Magdeburg, Fakultät für Mathematik, Dissertation, 2016von M. Sc. Marti...
Different strategies suitable to compare the performance of different model order reduction techniqu...
This Chapter introduces parameterized, or parametric, Model Order Reduction (pMOR). The Sections are...