TY  - CHAP
U1  - Buchbeitrag
A1  - Ciuprina, Gabriela
A1  - Villena, Jorge Fernández
A1  - Ioan, Daniel
A1  - Ilievski, Zoran
A1  - Kula, Sebastian
A1  - ter Maten, E. Jan W.
A1  - Mohaghegh, Kasra
A1  - Pulch, Roland
A1  - Schilders, Wilhelmus H. A.
A1  - Silveira, L. Miguel
A1  - Ştefănescu, Alexandra
A1  - Striebel, Michael
T1  - Parameterized Model Order Reduction
T2  - Coupled Multiscale Simulation and Optimization in Nanoelectronics
N2  - This Chapter introduces parameterized, or parametric, Model Order Reduction (pMOR). The Sections are offered in a prefered order for reading, but can be read independently. Section 5.1, written by Jorge Fernández Villena, L. Miguel Silveira, Wil H.A. Schilders, Gabriela Ciuprina, Daniel Ioan and Sebastian Kula, overviews the basic principles for pMOR. Due to higher integration and increasing frequency-based effects, large, full Electromagnetic Models (EM) are needed for accurate prediction of the real behavior of integrated passives and interconnects. Furthermore, these structures are subject to parametric effects due to small variations of the geometric and physical properties of the inherent materials and manufacturing process. Accuracy requirements lead to huge models, which are expensive to simulate and this cost is increased when parameters and their effects are taken into account. This Section introduces the framework of pMOR, which aims at generating reduced models for systems depending on a set of parameters.
Y1  - 2015
U6  - https://doi.org/10.1007/978-3-662-46672-8_5
DO  - https://doi.org/10.1007/978-3-662-46672-8_5
SP  - 267
EP  - 359
ER  -