06069968

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06069968 Rommes, Joost Challenges in model order reduction for industrial problems. Michielsen, Bastiaan (ed.) et al., Scientific computing in electrical engineering SCEE 2010. Selected papers based on the presentations at the 8th conference, Toulouse, France, September 2010. Berlin: Springer (ISBN 978-3-642-22452-2/hbk; 978-3-642-22453-9/ebook). Mathematics in Industry 16, 367-375 (2012). 2012 Berlin: Springer EN model order reduction Lyapunov equation Arnoldi method eigenvalue approximation layout optimization

doi:10.1007/978-3-642-22453-9_39

Summary: Mathematical challenges arise in many applications in the electronics industry. Device and circuit simulation are well-known examples, and in industry these are typically crucial for circuit and layout optimization. Model order reduction is one of the available tools, and we show when and how, and when not, to use this. We will give an overview of the challenges we are facing, explain how we try to conquer these, discuss the requirements we have to deal with, and indicate where improvements are needed.