Publikationen von Yao Yue

Yue, Y.; Feng, L.; Benner, P.: Reduced-Order Modelling of Parametric Systems via Interpolation of Heterogeneous Surrogates. Advanced Modeling and Simulation in Engineering Sciences 6, 10, 33 pages (2019)

Feng, L.; Yue, Y.; Banagaaya, N.; Meuris, P.; Schoenmaker, W.; Benner, P.: Parametric Modeling and Model Order Reduction for (Electro-)Thermal Analysis of Nanoelectronic Structures. Journal of Mathematics in Industry 6 (1), 10, 16 pages (2016)

ter Maten, E. J. W.; Putek, P.; Günther, M.; Pulch, R.; Tischendorf, C.; Strohm, C.; Schoenmaker, W.; Meuris, P.; de Smedt, B.; Benner, P. et al.; Feng, L.; Banagaaya, N.; Yue, Y.; Janssen, R.; Dohmen, J. J.; Tasić, B.; Deleu, F.; Gillon, R.; Wieers, A.; Brachtendorf, H.-G.; Bittner, K.; Kratochvíl, T.; Petřzela, J.; Sotner, R.; Göthans, T.; Dřínovský, J.; Schöps, S.; Duque Guerra, D. J.; Casper, T.; De Gersem, H.; Römer, U.; Reynier, P.; Barroul, P.; Masliah, D.; Rousseau, B.: Nanoelectronic COupled Problems Solutions - nanoCOPS: Modelling, Multirate, Model Order Reduction, Uncertainty Quantification, Fast Fault Simulation. Journal of Mathematics in Industry 7 (1), 2, 19 pages (2016)

Li, S.; Yue, Y.; Feng, L.; Benner, P.; Seidel-Morgenstern, A.: Model Reduction for Linear Simulated Moving Bed Chromatography Systems Using Krylov-Subspace Methods. AIChE-Journal 60 (11), S. 3773 - 3783 (2014)

Yue, Y.; Feng, L.; Benner, P.; Pulch, R.; Schöps, S.: Reduced Models and Uncertainty Quantification. In: Nanoelectronic Coupled Problems Solutions, S. 329 - 346 (Hg. ter Maten, E. J. W.; Brachtendorf, H.-G.; Pulch, R.; Schoenmaker, W.; De Gersem, H.). Springer International Publishing, Cham (2019)

Yue, Y.; Feng, L.; Benner, P.: An Adaptive Method for Interpolating Reduced-Order Models Based on Matching and Continuation of Poles. In: 2019 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization (NEMO), S. 1 - 4. 2019 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization (NEMO), Boston, USA, 29. Mai 2019 - 31. Mai 2019. IEEE (2019)

Yue, Y.; Feng, L.; Benner, P.: Interpolation of Reduced-Order Models Based on Modal Analysis. In: Proceedings of the 2018 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, S. 1 - 4. 2018 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, Reykjavik, Ireland, 08. August 2018 - 10. August 2018. (2018)

Yue, Y.; Feng, L.; Meuris, P.; Schoenmaker, W.; Benner, P.: Application of Krylov-type Parametric Model Order Reduction in Efficient Uncertainty Quantification of Electro-thermal Circuit Models. In: Proceedings of the Progress In Electromagnetics Research Symposium (PIERS 2015), S. 379 - 384. 36th Progress In Electromagnetics Research Symposium, Prague, Czech Republic, 06. Juli 2015 - 09. Juli 2015. (2015)

Yue, Y.; Feng, L.; Seidel-Morgenstern, A.; Benner, P.: Efficient Model Reduction of SMB Chromatography by Krylov-subspace Method with Application to Uncertainty Quantification. In: 24th European Symposium on Computer Aided Process Engineering, S. 925 - 930. 24th European Symposium on Computer Aided Process Engineering - ESCAPE, Budapest, Ungarn, 15. Juni 2014 - 18. Juni 2014. (2014)

Yue, Y.; Li, S.; Feng, L.; Seidel-Morgenstern, A.; Benner, P.: Using Model Order Reduction to Accelerate Optimization of Multi-Stage Linear Dynamical Systems. In: Engineering Optimization IV - Proceedings of the 4th International Conference on Engineering Optimization, ENGOPT 2014, S. 453 - 458. 4th International Conference on Engineering Optimization, Lisbon, Portugal, 08. September 2014 - 11. September 2014. (2014)

Yue, Y.; Feng, L.; Benner, P.: An Adaptive Pole-Matching Method for Interpolating Reduced-Order Models. (2019)