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Methods for the Uncertainty Quantification of Aircraft Simulation Models
13 references·1 citing·34 second hop
Methods for the Uncertainty Quantification of Aircraft Simulation Models (2014)Methods for the Uncertainty Quantificatio…To be or not to be intrusive? The solution of parametric and stochastic equations - the "plain vanilla" Galerkin case. (2013)To be or not to be intrusive?…Sampling-free linear Bayesian update of polynomial chaos representations (2012)Sampling-free linear Bayesian…An adaptive hierarchical sparse grid collocation algorithm for the solution of stochastic differential equations (2009)An adaptive hierarchical spar…Adaptive sparse polynomial chaos expansions for uncertainty propagation and sensitivity analysis (2009)Adaptive sparse polynomial ch…Stochastic finite elements: Computational approaches to stochastic partial differential equations (2008)Stochastic finite elements: C…A Sparse Grid Stochastic Collocation Method for Partial Differential Equations with Random Input Data (2008)A Sparse Grid Stochastic Coll…Global sensitivity analysis using polynomial chaos expansions (2007)Global sensitivity analysis u…A Stochastic Collocation Method for Elliptic Partial Differential Equations with Random Input Data (2007)A Stochastic Collocation Meth…Numerical Solution of Systems with Stochastic Uncertainties: A General Purpose Framework for Stochastic Finite Elements (2004)Numerical Solution of Systems…Stochastic Differential Equations (2003)Stochastic Differential Equat…Modeling uncertainty in flow simulations via generalized polynomial chaos (2003)Modeling uncertainty in flow …Error and uncertainty in modeling and simulation (2002)Error and uncertainty in mode…Stochastic Differential Equations: An Introduction with Applications. (1987)Stochastic Differential Equat…Data-driven surrogate modeling for global sensitivity analysis and the design optimization of medical waste shredding systems (2023)Data-driven surrogate modelin…The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations (2002)High-Order Collocation Methods for Differential Equations with Random Inputs (2005)An adaptive algorithm to build up sparse polynomial chaos expansions for stochastic finite element analysis (2009)Survey of Multifidelity Methods in Uncertainty Propagation, Inference, and Optimization (2018)Stochastic Finite Elements: A Spectral Approach (1991)Uncertainty Quantification and Weak Approximation of an Elliptic Inverse Problem (2011)Accelerating Monte Carlo estimation with derivatives of high-level finite element models (2017)Structural Reliability Analysis and Prediction (2017)A Quantitative Model-Independent Method for Global Sensitivity Analysis of Model Output (1999)Adaptive sparse polynomial chaos expansion based on least angle regression (2010)UQLab: A Framework for Uncertainty Quantification in Matlab (2014)Sensitivity analysis of environmental models: A systematic review with practical workflow (2016)Simulation Modeling and Analysis. (1983)Empirical Model Building and Response Surfaces (1988)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)Verification, validation, and predictive capability in computational engineering and physics (2004)Calibration, validation, and sensitivity analysis: What's what (2006)Monte-Carlo based uncertainty analysis: Sampling efficiency and sampling convergence (2012)A new adaptive response surface method for reliability analysis (2012)Meta-models for Structural Reliability and Uncertainty Quantification (2012)Modeling, analysis, and optimization under uncertainties: a review (2021)Uncertainty Quantification and Polynomial Chaos Techniques in Computational Fluid Dynamics (2008)DAKOTA : a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis. Version 5.0, user's manual. (2010)A Stochastic Collocation Method for Elliptic Partial Differential Equations with Random Input Data (2010)A non-adapted sparse approximation of PDEs with stochastic inputs (2011)Stochastic finite element methods for partial differential equations with random input data (2014)An adaptive multi-element generalized polynomial chaos method for stochastic differential equations (2005)Fast Numerical Methods for Stochastic Computations: A Review (2009)A Nonparametric Model of Term Structure Dynamics and the Market Price of Interest Rate Risk (1997)The dynamics of stochastic volatility: evidence from underlying and options markets (2003)Liaisons dangereuses: Increasing connectivity, risk sharing, and systemic risk (2012)The Role of Portfolio Constraints in the International Propagation of Shocks (2008)Stochastic Differential Equations (2014)Numerical Solution of Stochastic Differential Equations (2016)
this work references cited by second hop

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2023
Data-driven surrogate modeling for global sensitivity analysis and the design optimization of medical waste shredding systems
12 cited