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Reduced Order Multirate Schemes for Coupled Differential-Algebraic Systems

Bannenberg, M.W.F.M.; Ciccazzo, A.; Günther, M.

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<oai_dc:dc xmlns:dc="" xmlns:oai_dc="" xmlns:xsi="" xsi:schemaLocation="">
  <dc:creator>Bannenberg, M.W.F.M.</dc:creator>
  <dc:creator>Ciccazzo, A.</dc:creator>
  <dc:creator>Günther, M.</dc:creator>
  <dc:description>In the context of time-domain simulation of integrated circuits, one often encounters large systems of coupled differential-algebraic equations. Simulation costs of these systems can become prohibitively large as the number of components keeps increasing. In an effort to reduce these simulation costs a twofold approach is presented in this paper. We combine maximum entropy snapshot sampling method and a nonlinear model order reduction technique, with multirate time integration. The obtained model order reduction basis is applied using the Gauß-Newton method with approximated tensors reduction. This reduction framework is then integrated using a coupled-slowest-first multirate integration scheme. The convergence of this combined method verified numerically. Lastly it is shown that the new method results in a reduction of the computational effort without significant loss of accuracy.</dc:description>
  <dc:description>Preprint BUW-IMACM 21/04, Institute of Mathematical Modelling, Analysis and Computational Mathematics (IMACM), Bergische Universität Wuppertal, January 2021</dc:description>
  <dc:subject>Mulitrate, Model Order Reduction, Dierential-Algebraic Equations, Snapshot Sampling.</dc:subject>
  <dc:title>Reduced Order Multirate Schemes for Coupled Differential-Algebraic Systems</dc:title>
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