| Clustering-Based Model Order Reduction for Nonlinear Network System
|
2021 |
Benner, Peter |
| Adaptive Interpolatory MOR by Learning the Error Estimator in the Parameter Domain
|
2021 |
Chellappa, Sridhar |
| Model-Based Adaptive MOR Framework for Unsteady Flows Around Lifting Bodies
|
2021 |
Pascarella, Gaetano |
| Efficient Krylov Subspace Techniques for Model Order Reduction of Automotive Structures in Vibroacoustic Applications
|
2021 |
Sreekumar, Harikrishnan K. |
| A Non-stationary Thermal-Block Benchmark Model for Parametric Model Order Reduction
|
2021 |
Rave, Stephan |
| Reduced Basis Methods for Quasilinear Elliptic PDEs with Applications to Permanent Magnet Synchronous Motors
|
2021 |
Hinze, Michael |
| Balanced Truncation for Parametric Linear Systems Using Interpolation of Gramians: A Comparison of Algebraic and Geometric Approaches
|
2021 |
Son, Nguyen Thanh |
| Optimization-Based Parametric Model Order Reduction for the Application to the Frequency-Domain Analysis of Complex Systems
|
2021 |
Ullmann, Rupert |
| On Extended Model Order Reduction for Linear Time Delay Systems
|
2021 |
Lordejani, Sajad Naderi |
| Reduced-Order Methods in Medical Imaging
|
2021 |
Chaturantabut, Saifon |
| On Bilinear Time-Domain Identification and Reduction in the Loewner Framework
|
2021 |
Karachalios, D. S. |
| Toward Fitting Structured Nonlinear Systems by Means of Dynamic Mode Decomposition
|
2021 |
Gosea, Ion Victor |
| Comparing (Empirical-Gramian-Based) Model Order Reduction Algorithms
|
2021 |
Himpe, Christian |
| Parametric Model Order Reduction Using pyMOR
|
2021 |
Mlinaric, Petar |
| MORLAB-— The Model Order Reduction LABoratory
|
2021 |
Benner, Peter |
| A Link Between Gramian-Based Model Order Reduction and Moment Matching
|
2021 |
Bertram, C. |
| A Practical Method for the Reduction of Linear Thermo-Mechanical Dynamic Equations
|
2021 |
Jungiewicz, Artur |
| Structure-Preserving Reduced- Order Modeling of Non-Traditional Shallow Water Equation
|
2021 |
Yildiz, Süleyman |
| Matrix Equations, Sparse Solvers: M-M.E.S.S.-2.0.1—Philosophy, Features, and Application for (Parametric) Model Order Reduction
|
2021 |
Benner, Peter |
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