Pages that link to "Item:Q1873429"

The following pages link to Modeling uncertainty in flow simulations via generalized polynomial chaos. (Q1873429):

Displaying 50 items.

• Reduced Wiener chaos representation of random fields via basis adaptation and projection (Q1686576) (← links)
• Rayleigh-Taylor and Richtmyer-Meshkov instability induced flow, turbulence, and mixing. II (Q1687623) (← links)
• Model order reduction of random parameter-dependent linear systems (Q1689355) (← links)
• A two-stage adaptive stochastic collocation method on nested sparse grids for multiphase flow in randomly heterogeneous porous media (Q1691780) (← links)
• A dynamical polynomial chaos approach for long-time evolution of SPDEs (Q1693454) (← links)
• Bayesian updating via bootstrap filtering combined with data-driven polynomial chaos expansions: methodology and application to history matching for carbon dioxide storage in geological formations (Q1693616) (← links)
• On the relationship between the stochastic Galerkin method and the pseudo-spectral collocation method for linear differential algebraic equations (Q1703628) (← links)
• The numerical approximation of nonlinear functionals and functional differential equations (Q1708692) (← links)
• A flexible polynomial expansion method for response analysis with random parameters (Q1723125) (← links)
• A probabilistic collocation eulerian-Lagrangian localized adjoint method on sparse grids for assessing \(\operatorname{CO}_2\) leakage through wells in randomly heterogeneous porous media (Q1736159) (← links)
• A note on polynomial chaos expansions for designing a linear feedback control for nonlinear systems (Q1742018) (← links)
• A homotopy method for parameter estimation of nonlinear differential equations with multiple optima (Q1743419) (← links)
• Error analysis of the Wiener-Askey polynomial chaos with hyperbolic cross approximation and its application to differential equations with random input (Q1743933) (← links)
• An efficient alternating direction method of multipliers for optimal control problems constrained by random Helmholtz equations (Q1751062) (← links)
• Wave scattering by randomly shaped objects (Q1760116) (← links)
• Error analysis of generalized polynomial chaos for nonlinear random ordinary differential equations (Q1760127) (← links)
• Stochastic approaches to uncertainty quantification in CFD simulations (Q1773081) (← links)
• Uncertainty analysis for the steady-state flows in a dual throat nozzle (Q1777067) (← links)
• A stochastic projection method for fluid flow. II: Random process (Q1851260) (← links)
• Modeling uncertainty in steady state diffusion problems via generalized polynomial chaos (Q1867623) (← links)
• Analysis of a nonlinear aeroelastic system with parametric uncertainties using polynomial chaos expansion (Q1958825) (← links)
• Finite volume simulation framework for die casting with uncertainty quantification (Q1985012) (← links)
• Unified polynomial expansion for interval and random response analysis of uncertain structure-acoustic system with arbitrary probability distribution (Q1985504) (← links)
• Projection methods for stochastic dynamic systems: a frequency domain approach (Q1986213) (← links)
• Sparsity-promoting elastic net method with rotations for high-dimensional nonlinear inverse problem (Q1986778) (← links)
• A painless intrusive polynomial chaos method with RANS-based applications (Q1987892) (← links)
• A data-driven framework for sparsity-enhanced surrogates with arbitrary mutually dependent randomness (Q1987969) (← links)
• An efficient adaptive forward-backward selection method for sparse polynomial chaos expansion (Q1988232) (← links)
• Spectral convergence of the generalized polynomial chaos reduced model obtained from the uncertain linear Boltzmann equation (Q1998074) (← links)
• Low-dimensional spatial embedding method for shape uncertainty quantification in acoustic scattering by 2D star shaped obstacles (Q1999878) (← links)
• Deep UQ: learning deep neural network surrogate models for high dimensional uncertainty quantification (Q2002273) (← links)
• A dynamic bi-orthogonal field equation approach to efficient Bayesian inversion (Q2011888) (← links)
• A generalized multi-fidelity simulation method using sparse polynomial chaos expansion (Q2033075) (← links)
• Sensitivity analysis of queueing models based on polynomial chaos approach (Q2053746) (← links)
• Numerical solutions for Helmholtz equation with stochastic interface based on PML method (Q2059632) (← links)
• Advanced computational technique based on kriging and Polynomial Chaos Expansion for structural stability of mechanical systems with uncertainties (Q2061435) (← links)
• Reliable crack detection in a rotor system with uncertainties via advanced simulation models based on kriging and polynomial chaos expansion (Q2063401) (← links)
• A mixed spectral treatment for the stochastic models with random parameters (Q2074228) (← links)
• Efficient aerodynamic analysis and optimization under uncertainty using multi-fidelity polynomial chaos-Kriging surrogate model (Q2084108) (← links)
• Propagation of uncertainties in density-driven flow (Q2091293) (← links)
• GenMod: a generative modeling approach for spectral representation of PDEs with random inputs (Q2099749) (← links)
• Feasibility of DEIM for retrieving the initial field via dimensionality reduction (Q2120024) (← links)
• A stochastic kinetic scheme for multi-scale flow transport with uncertainty quantification (Q2124363) (← links)
• Flow-driven spectral chaos (FSC) method for simulating long-time dynamics of arbitrary-order non-linear stochastic dynamical systems (Q2124875) (← links)
• Stochastic gradient descent for semilinear elliptic equations with uncertainties (Q2127008) (← links)
• Physically interpretable machine learning algorithm on multidimensional non-linear fields (Q2128352) (← links)
• A spectral method for stochastic fractional PDEs using dynamically-orthogonal/bi-orthogonal decomposition (Q2138018) (← links)
• A sample-efficient deep learning method for multivariate uncertainty qualification of acoustic-vibration interaction problems (Q2138808) (← links)
• CFD-based shape optimization under uncertainties using the adjoint-assisted polynomial chaos expansion and projected derivatives (Q2158125) (← links)
• Dynamic analysis of geared transmission system for wind turbines with mixed aleatory and epistemic uncertainties (Q2167689) (← links)