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A big-data approach to handle process variations: Uncertainty quantification by tensor recovery
12 references·1 citing·27 second hop
A big-data approach to handle process variations: Uncertainty quantification by tensor recovery (2016)A big-data approach to handle process var…Uncertainty quantification of silicon photonic devices with correlated and non-Gaussian random parameters (2015)Uncertainty quantification of…Stochastic Modeling of Nonlinear Circuits via SPICE-Compatible Spectral Equivalents (2014)Stochastic Modeling of Nonlin…Fast variability analysis of general nonlinear circuits using decoupled polynomial chaos (2014)Fast variability analysis of …Enabling High-Dimensional Hierarchical Uncertainty Quantification by ANOVA and Tensor-Train Decomposition (2014)Enabling High-Dimensional Hie…Stochastic Testing Method for Transistor-Level Uncertainty Quantification Based on Generalized Polynomial Chaos (2013)Stochastic Testing Method for…Efficient Uncertainty Quantification for the Periodic Steady State of Forced and Autonomous Circuits (2013)Efficient Uncertainty Quantif…Parameters Variability Effects on Multiconductor Interconnects via Hermite Polynomial Chaos (2011)Parameters Variability Effect…Modelling and simulation of autonomous oscillators with random parameters (2010)Modelling and simulation of a…Stochastic formulation of SPICE-type electronic circuit simulation with polynomial chaos (2008)Stochastic formulation of SPI…High-Order Collocation Methods for Differential Equations with Random Inputs (2005)High-Order Collocation Method…The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations (2002)The Wiener--Askey Polynomial …Stochastic Finite Elements: A Spectral Approach (1991)Stochastic Finite Elements: A…Uncertainty quantification of MEMS devices with correlated random parameters (2019)Uncertainty quantification of…Generalized polynomial chaos and random oscillators (2004)POLYNOMIAL CHAOS FOR SEMIEXPLICIT DIFFERENTIAL ALGEBRAIC EQUATIONS OF INDEX 1 (2011)Uncertainty quantification for integrated circuits: Stochastic spectral methods (2013)A Sparse Grid Stochastic Collocation Method for Partial Differential Equations with Random Input Data (2008)Stochastic process design kits for photonic circuits based on polynomial chaos augmented macro-modelling (2018)Uncertainty quantification of electronic and photonic ICs with non-Gaussian correlated process variations (2018)High-Dimensional Uncertainty Quantification of Electronic and Photonic IC With Non-Gaussian Correlated Process Variations (2019)Fast Numerical Methods for Stochastic Computations: A Review (2009)Efficient Statistical Simulation of Microwave Devices Via Stochastic Testing-Based Circuit Equivalents of Nonlinear Components (2015)Multidimensional Uncertainty Quantification of Microwave/RF Networks Using Linear Regression and Optimal Design of Experiments (2016)Stochastic Collocation With Non-Gaussian Correlated Process Variations: Theory, Algorithms, and Applications (2018)Multi-Element Generalized Polynomial Chaos for Arbitrary Probability Measures (2006)Generalized Hermite Polynomial Chaos for Variability Analysis of Macromodels Embeddedin Nonlinear Circuits (2013)Big-Data Tensor Recovery for High-Dimensional Uncertainty Quantification of Process Variations (2016)Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates (2001)Numerical Challenges in the Use of Polynomial Chaos Representations for Stochastic Processes (2004)Stochastic Modeling-Based Variability Analysis of On-Chip Interconnects (2012)Variability Analysis of Multiport Systems Via Polynomial-Chaos Expansion (2012)Random-Space Dimensionality Reduction for Expedient Yield Estimation of Passive Microwave Structures (2013)Large Sample Properties of Simulations Using Latin Hypercube Sampling (1987)A Stochastic Collocation Method for Elliptic Partial Differential Equations with Random Input Data (2007)Global sensitivity analysis using polynomial chaos expansions (2007)AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation (2011)Adaptive sparse polynomial chaos expansion based on least angle regression (2010)Generalized Decoupled Polynomial Chaos for Nonlinear Circuits With Many Random Parameters (2015)Machine Learning and Uncertainty Quantification for Surrogate Models of Integrated Devices With a Large Number of Parameters (2018)Review of Polynomial Chaos-Based Methods for Uncertainty Quantification in Modern Integrated Circuits (2018)
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References

  • 1991Stochastic Finite Elements: A Spectral Approach5,753 cited
  • 2002The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations4,821 cited
  • 2005High-Order Collocation Methods for Differential Equations with Random Inputs1,522 cited
  • 2013Stochastic Testing Method for Transistor-Level Uncertainty Quantification Based on Generalized Polynomial Chaos182 cited
  • 2014Enabling High-Dimensional Hierarchical Uncertainty Quantification by ANOVA and Tensor-Train Decomposition98 cited
  • 2011Parameters Variability Effects on Multiconductor Interconnects via Hermite Polynomial Chaos97 cited
  • 2008Stochastic formulation of SPICE-type electronic circuit simulation with polynomial chaos77 cited
  • 2014Stochastic Modeling of Nonlinear Circuits via SPICE-Compatible Spectral Equivalents59 cited
  • 2015Uncertainty quantification of silicon photonic devices with correlated and non-Gaussian random parameters43 cited
  • 2010Modelling and simulation of autonomous oscillators with random parameters18 cited
  • 2013Efficient Uncertainty Quantification for the Periodic Steady State of Forced and Autonomous Circuits18 cited
  • 2014Fast variability analysis of general nonlinear circuits using decoupled polynomial chaos12 cited

Cited by

  • 2019Uncertainty quantification of MEMS devices with correlated random parameters10 cited

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