Pages that link to "Item:Q4785938"

The following pages link to The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations (Q4785938):

Displaying 50 items.

• Multi-element flow-driven spectral chaos (ME-FSC) method for uncertainty quantification of dynamical systems (Q2162015) (← links)
• Variational inference with NoFAS: normalizing flow with adaptive surrogate for computationally expensive models (Q2162034) (← links)
• Uncertainty quantification for random Hamiltonian systems by using polynomial expansions and geometric integrators (Q2162248) (← links)
• Stochastic parabolic equations with singular potentials (Q2162269) (← links)
• Monte Carlo stochastic Galerkin methods for non-Maxwellian kinetic models of multiagent systems with uncertainties (Q2162606) (← links)
• Enhanced alternating energy minimization methods for stochastic Galerkin matrix equations (Q2162725) (← links)
• Propagation of hydropeaking waves in heterogeneous aquifers: effects on flow topology and uncertainty quantification (Q2164339) (← links)
• Dynamic analysis of geared transmission system for wind turbines with mixed aleatory and epistemic uncertainties (Q2167689) (← links)
• A stochastic Galerkin method with adaptive time-stepping for the Navier-Stokes equations (Q2168285) (← links)
• Gegenbauer reconstruction method with edge detection for multi-dimensional uncertainty propagation (Q2168319) (← links)
• Evidence-theory-based uncertain parameter identification method for mechanical systems with imprecise information (Q2173586) (← links)
• Polynomial chaos expansions for dependent random variables (Q2173605) (← links)
• Multi-level multi-fidelity sparse polynomial chaos expansion based on Gaussian process regression (Q2174145) (← links)
• Global sensitivity analysis for multivariate outputs using polynomial chaos-based surrogate models (Q2174747) (← links)
• Adaptive weighted least-squares polynomial chaos expansion with basis adaptivity and sequential adaptive sampling (Q2175295) (← links)
• Solution of the 3D density-driven groundwater flow problem with uncertain porosity and permeability (Q2176414) (← links)
• Stochastic turbulence modeling in RANS simulations via multilevel Monte Carlo (Q2176854) (← links)
• Surrogate modeling for fluid flows based on physics-constrained deep learning without simulation data (Q2176917) (← links)
• Numerical approximation of poroelasticity with random coefficients using polynomial chaos and hybrid high-order methods (Q2176920) (← links)
• Multiscale uncertainty quantification with arbitrary polynomial chaos (Q2179186) (← links)
• Surrogate modeling of high-dimensional problems via data-driven polynomial chaos expansions and sparse partial least square (Q2180429) (← links)
• Stochastic isogeometric analysis in linear elasticity (Q2180446) (← links)
• A low-rank solver for the stochastic unsteady Navier-Stokes problem (Q2180469) (← links)
• An efficient numerical method to solve 2-D interval bi-modular problems via orthogonal polynomial expansion (Q2183043) (← links)
• Stress-based topology optimization under uncertainty via simulation-based Gaussian process (Q2184305) (← links)
• Multilevel and multifidelity uncertainty quantification for cardiovascular hemodynamics (Q2184337) (← links)
• A bi-fidelity surrogate modeling approach for uncertainty propagation in three-dimensional hemodynamic simulations (Q2184449) (← links)
• Uncertainty propagation in dynamic sub-structuring by model reduction integrated domain decomposition (Q2184459) (← links)
• Stochastic calibration of cavitation model parameters for simulations of 3-phase injector internal flows (Q2189065) (← links)
• A posteriori error analysis and adaptive non-intrusive numerical schemes for systems of random conservation laws (Q2192594) (← links)
• Real-time reduced-order modeling of stochastic partial differential equations via time-dependent subspaces (Q2194337) (← links)
• Global sensitivity analysis: a Bayesian learning based polynomial chaos approach (Q2194350) (← links)
• A posteriori error estimation and adaptivity in stochastic Galerkin FEM for parametric elliptic PDEs: beyond the affine case (Q2194824) (← links)
• Uncertainty quantification in stability analysis of chaotic systems with discrete delays (Q2201356) (← links)
• Uncertainty quantification for nonlinear difference equations with dependent random inputs via a stochastic Galerkin projection technique (Q2207345) (← links)
• On the merits of sparse surrogates for global sensitivity analysis of multi-scale nonlinear problems: application to turbulence and fire-spotting model in wildland fire simulators (Q2207410) (← links)
• Surrogate-based uncertainty and sensitivity analysis for bacterial invasion in multi-species biofilm modeling (Q2207429) (← links)
• Region of attraction analysis of nonlinear stochastic systems using polynomial chaos expansion (Q2208529) (← links)
• Stochastic Markovian modeling of electrophysiology of ion channels: reconstruction of standard deviations in macroscopic currents (Q2209985) (← links)
• Heterogeneous animal group models and their group-level alignment dynamics: an equation-free approach (Q2210025) (← links)
• Kriging-sparse polynomial dimensional decomposition surrogate model with adaptive refinement (Q2214537) (← links)
• Energy conserving Galerkin approximation of two dimensional wave equations with random coefficients (Q2214557) (← links)
• Data-driven polynomial chaos expansions: a weighted least-square approximation (Q2214561) (← links)
• On the use of derivatives in the polynomial chaos based global sensitivity and uncertainty analysis applied to the distributed parameter models (Q2214566) (← links)
• Optimal observations-based retrieval of topography in 2D shallow water equations using PC-EnKF (Q2214574) (← links)
• An efficient solver for cumulative density function-based solutions of uncertain kinematic wave models (Q2214580) (← links)
• Uncertainty quantification methodology for hyperbolic systems with application to blood flow in arteries (Q2218595) (← links)
• PLS-based adaptation for efficient PCE representation in high dimensions (Q2220565) (← links)
• Some greedy algorithms for sparse polynomial chaos expansions (Q2220572) (← links)
• Data-driven polynomial chaos expansion for machine learning regression (Q2220634) (← links)