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Challenges in Model Order Reduction for Industrial Problems

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Scientific Computing in Electrical Engineering SCEE 2010

Part of the book series: Mathematics in Industry ((TECMI,volume 16))

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Abstract

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.

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Acknowledgements

Part of this work was supported by EU Project O-MOORE-NICE!

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Authors and Affiliations

  1. NXP Semiconductors/Central R&D, Eindhoven, The Netherlands

    Joost Rommes

Authors
  1. Joost Rommes
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Correspondence to Joost Rommes .

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Editors and Affiliations

  1. ONERA, avenue Édouard Belin 2, Toulouse, 31055, France

    Bastiaan Michielsen

  2. LAPLACE-ENSEEIHT, rue Charles Camichel 2, Toulouse, 31071, France

    Jean-René Poirier

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Rommes, J. (2012). Challenges in Model Order Reduction for Industrial Problems. In: Michielsen, B., Poirier, JR. (eds) Scientific Computing in Electrical Engineering SCEE 2010. Mathematics in Industry(), vol 16. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22453-9_39

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