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Efficient Uncertainty Quantification for the Periodic Steady State of Forced and Autonomous Circuits.

, , , , and . CoRR, (2014)

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Variation-aware interconnect extraction using statistical moment preserving model order reduction., and . DATE, page 453-458. IEEE Computer Society, (2010)Bayesian inference with optimal maps., and . J. Comput. Phys., 231 (23): 7815-7850 (2012)Field solver technologies for variation-aware interconnect parasitic extraction.. Massachusetts Institute of Technology, Cambridge, MA, USA, (2010)ndltd.org (oai:dspace.mit.edu:1721.1/58276).Variation-aware stochastic extraction with large parameter dimensionality: Review and comparison of state of the art intrusive and non-intrusive techniques., and . ISQED, page 508-517. IEEE, (2011)Efficient algorithm for the computation of on-chip capacitance sensitivities with respect to a large set of parameters., , and . DAC, page 906-911. ACM, (2008)Stochastic dominant singular vectors method for variation-aware extraction., and . DAC, page 667-672. ACM, (2010)Calculation of Generalized Polynomial-Chaos Basis Functions and Gauss Quadrature Rules in Hierarchical Uncertainty Quantification., , , and . IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 33 (5): 728-740 (2014)A capacitance solver for incremental variation-aware extraction., , and . ICCAD, page 662-669. IEEE Computer Society, (2008)Efficient Uncertainty Quantification for the Periodic Steady State of Forced and Autonomous Circuits., , , , and . CoRR, (2014)An efficient resistance sensitivity extraction algorithm for conductors of arbitrary shapes., , and . DAC, page 770-775. ACM, (2009)