SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Stochastic Analysis of Multitwisted Cables With Random Parameters Excited by Random Plane-Wave Fields
11 references·0 citing·27 second hop
Stochastic Analysis of Multitwisted Cables With Random Parameters Excited by Random Plane-Wave Fields (2019)Stochastic Analysis of Multitwisted Cable…Review of Polynomial Chaos-Based Methods for Uncertainty Quantification in Modern Integrated Circuits (2018)Review of Polynomial Chaos-Ba…Polynomial chaos‐based macromodeling of multiport systems using an input–output approach (2014)Polynomial chaos‐based macrom…Improved polynomial chaos discretization schemes to integrate interconnects into design environments (2013)Improved polynomial chaos dis…Stochastic Modeling-Based Variability Analysis of On-Chip Interconnects (2012)Stochastic Modeling-Based Var…Stochastic Analysis of Multiconductor Cables and Interconnects (2011)Stochastic Analysis of Multic…Parameters Variability Effects on Multiconductor Interconnects via Hermite Polynomial Chaos (2011)Parameters Variability Effect…Adaptive sparse polynomial chaos expansion based on least angle regression (2010)Adaptive sparse polynomial ch…Stochastic Finite Elements (2009)Stochastic Finite ElementsFast Numerical Methods for Stochastic Computations: A Review (2009)Fast Numerical Methods for St…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…Stochastic Differential Equations: An Introduction with Applications. (1987)Piecewise polynomial chaos expansion with an application to brake squeal of a linear brake system (2012)Structural Reliability Analysis and Prediction (2017)Structural Reliability under Incomplete Probability Information (1986)An adaptive algorithm to build up sparse polynomial chaos expansions for stochastic finite element analysis (2009)Rational Polynomial Chaos Expansions for the Stochastic Macromodeling of Network Responses (2019)A Polymorphic Polynomial Chaos Formulation for Mixed Epistemic-Aleatory Uncertainty Quantification of RF/Microwave Circuits (2021)Fast Stochastic Surrogate Modeling via Rational Polynomial Chaos Expansions and Principal Component Analysis (2021)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)Efficient computation of global sensitivity indices using sparse polynomial chaos expansions (2010)UQLab: A Framework for Uncertainty Quantification in Matlab (2014)POLYNOMIAL-CHAOS-BASED KRIGING (2015)Numerical Challenges in the Use of Polynomial Chaos Representations for Stochastic Processes (2004)Random-Space Dimensionality Reduction for Expedient Yield Estimation of Passive Microwave Structures (2013)Large Sample Properties of Simulations Using Latin Hypercube Sampling (1987)Simulation-based optimal Bayesian experimental design for nonlinear systems (2012)A GF-discrepancy for point selection in stochastic seismic response analysis of structures with uncertain parameters (2015)Global sensitivity analysis using polynomial chaos expansions (2007)Polynomial Chaos Expansion for Parametric Problems in Engineering Systems: A Review (2020)A Probabilistic Machine Learning Approach for the Uncertainty Quantification of Electronic Circuits Based on Gaussian Process Regression (2021)Uncertainty quantification for structural response field with ultra-high dimensions (2024)AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation (2011)Variability Analysis of Multiport Systems Via Polynomial-Chaos Expansion (2012)An ME-PC Enhanced HDMR Method for Efficient Statistical Analysis of Multiconductor Transmission Line Networks (2015)Stochastic transmission line analysis via polynomial chaos methods: an overview (2017)High-Order Collocation Methods for Differential Equations with Random Inputs (2005)Enabling High-Dimensional Hierarchical Uncertainty Quantification by ANOVA and Tensor-Train Decomposition (2014)
this work references cited by second hop

References

  • 1991Stochastic Finite Elements: A Spectral Approach5,753 cited
  • 2002The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations4,821 cited
  • 2010Adaptive sparse polynomial chaos expansion based on least angle regression1,507 cited
  • 2009Fast Numerical Methods for Stochastic Computations: A Review608 cited
  • 2018Review of Polynomial Chaos-Based Methods for Uncertainty Quantification in Modern Integrated Circuits121 cited
  • 2011Stochastic Analysis of Multiconductor Cables and Interconnects114 cited
  • 2009Stochastic Finite Elements113 cited
  • 2011Parameters Variability Effects on Multiconductor Interconnects via Hermite Polynomial Chaos97 cited
  • 2012Stochastic Modeling-Based Variability Analysis of On-Chip Interconnects96 cited
  • 2014Polynomial chaos‐based macromodeling of multiport systems using an input–output approach17 cited
  • 2013Improved polynomial chaos discretization schemes to integrate interconnects into design environments16 cited

Cited by

No citing works inside the corpus for this window.

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work