Multilevel Parameterized Model Order Reduction for Variability Analysis of Circuits
Résumé
A multilevel parameterized model order reduction technique is proposed for variability analysis of large circuits. The original large-scale equations are kept into the multilevel scheme, which allows a full error control about the estimation of stochastic moments. A high computational efficiency is also provided by a set of parameterized reduced order models properly combined with the original large-scale model. Pertinent numerical results are presented to validate the proposed technique.
Domaines
Sciences de l'ingénieur [physics]
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Multilevel_Parameterized_Model_Order_Reduction_for_Variability_Analysis_of_Circuits_final.pdf (628.9 Ko)
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