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Uncertainty quantification reveals the physical constraints on pumping by peristaltic hearts
6 references·0 citing·18 second hop
Uncertainty quantification reveals the physical constraints on pumping by peristaltic hearts (2020)Uncertainty quantification reveals the ph…Global sensitivity analysis using polynomial chaos expansions (2007)Global sensitivity analysis u…Performance Evaluation of Generalized Polynomial Chaos (2003)Performance Evaluation of Gen…Modeling uncertainty in flow simulations via generalized polynomial chaos (2003)Modeling uncertainty in flow …The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations (2002)The Wiener--Askey Polynomial …Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates (2001)Global sensitivity indices fo…Optimization Theory in Evolution (1978)Optimization Theory in Evolut…Stochastic Finite Elements: A Spectral Approach (1991)High-Order Collocation Methods for Differential Equations with Random Inputs (2005)Adaptive sparse polynomial chaos expansion based on least angle regression (2010)A Quantitative Model-Independent Method for Global Sensitivity Analysis of Model Output (1999)UQLab: A Framework for Uncertainty Quantification in Matlab (2014)Sensitivity analysis of environmental models: A systematic review with practical workflow (2016)Managerial Perspectives on Risk and Risk Taking (1987)Natural language and natural selection (1990)Are humans good intuitive statisticians after all? Rethinking some conclusions from the literature on judgment under uncertainty (1996)A new uncertainty importance measure (2006)Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index (2009)SALib: An open-source Python library for Sensitivity Analysis (2017)An adaptive multi-element generalized polynomial chaos method for stochastic differential equations (2005)Uncertainty Quantification and Polynomial Chaos Techniques in Computational Fluid Dynamics (2008)Fast Numerical Methods for Stochastic Computations: A Review (2009)On the Capabilities of the Polynomial Chaos Expansion Method within SFE Analysis—An Overview (2011)On the convergence of the stochastic Galerkin method for random elliptic partial differential equations (2013)Dynamic characteristics and sensitivity analysis of a nonlinear vehicle suspension system with stochastic uncertainties (2024)
this work references cited by second hop

References

  • 2001Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates6,377 cited
  • 2002The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations4,821 cited
  • 2007Global sensitivity analysis using polynomial chaos expansions2,547 cited
  • 2003Modeling uncertainty in flow simulations via generalized polynomial chaos1,428 cited
  • 1978Optimization Theory in Evolution1,137 cited
  • 2003Performance Evaluation of Generalized Polynomial Chaos36 cited

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