Pages that link to "Item:Q1873429"

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

Displaying 50 items.

• A reduced spectral function approach for the stochastic finite element analysis (Q653731) (← links)
• Kernel principal component analysis for stochastic input model generation (Q655052) (← links)
• Dynamical criteria for the evolution of the stochastic dimensionality in flows with uncertainty (Q655563) (← links)
• Identification of high-dimension polynomial chaos expansions with random coefficients for non-Gaussian tensor-valued random fields using partial and limited experimental data (Q658826) (← links)
• Uncertainty quantification of MEMS using a data-dependent adaptive stochastic collocation method (Q660314) (← links)
• On the influence of uncertainty in computational simulations of a high-speed jet flow from an aircraft exhaust (Q667392) (← links)
• Pfosm: an efficient algorithm for aerodynamic robust design based on continuous adjoint and matrix-vector products (Q667423) (← links)
• Multi-level Monte Carlo weak Galerkin method for elliptic equations with stochastic jump coefficients (Q668915) (← links)
• A robust and efficient stepwise regression method for building sparse polynomial chaos expansions (Q680129) (← links)
• Dependence of polynomial chaos on random types of forces of KdV equations (Q693397) (← links)
• Simplified CSP analysis of a stiff stochastic ODE system (Q695820) (← links)
• Variational multiscale stabilized FEM formulations for transport equations: Stochastic advection-diffusion and incompressible stochastic Navier-Stokes equations (Q703741) (← links)
• A stochastically and spatially adaptive parallel scheme for uncertain and nonlinear two-phase flow problems (Q723106) (← links)
• SAMBA: sparse approximation of moment-based arbitrary polynomial chaos (Q726888) (← links)
• Inverse regression-based uncertainty quantification algorithms for high-dimensional models: theory and practice (Q726930) (← links)
• Long-time uncertainty propagation using generalized polynomial chaos and flow map composition (Q728699) (← links)
• A well-posed and stable stochastic Galerkin formulation of the incompressible Navier-Stokes equations with random data (Q729316) (← links)
• A two-level stochastic collocation method for semilinear elliptic equations with random coefficients (Q729862) (← links)
• A multi level Monte Carlo method with control variate for elliptic PDEs with log-normal coefficients (Q744882) (← links)
• Learning constitutive relations from indirect observations using deep neural networks (Q781968) (← links)
• A sensitivity analysis method to evaluate the impacts of random and interval variables on the probability box (Q823474) (← links)
• Dynamically orthogonal field equations for continuous stochastic dynamical systems (Q845037) (← links)
• Building blocks for computer vision with stochastic partial differential equations (Q847471) (← links)
• A stochastic variational multiscale method for diffusion in heterogeneous random media (Q860260) (← links)
• Finite element methods for semilinear elliptic stochastic partial differential equations (Q879927) (← links)
• A scalable framework for the solution of stochastic inverse problems using a sparse grid collocation approach (Q924474) (← links)
• A probabilistic construction of model validation (Q929050) (← links)
• A stabilized stochastic finite element second-order projection method for modeling natural convection in random porous media (Q942286) (← links)
• Linear quadratic regulation of systems with stochastic parameter uncertainties (Q976223) (← links)
• Error analysis of finite element approximations of the stochastic Stokes equations (Q983696) (← links)
• Stochastic finite difference lattice Boltzmann method for steady incompressible viscous flows (Q995232) (← links)
• Stochastic modeling of coupled electromechanical interaction for uncertainty quantification in electrostatically actuated MEMS (Q995302) (← links)
• A stochastic coupling method for atomic-to-continuum MonteCarlo simulations (Q995312) (← links)
• Long-term behavior of polynomial chaos in stochastic flow simulations (Q996658) (← links)
• Efficient stochastic Galerkin methods for random diffusion equations (Q1010315) (← links)
• A stochastic multiscale framework for modeling flow through random heterogeneous porous media (Q1010336) (← links)
• An adaptive hierarchical sparse grid collocation algorithm for the solution of stochastic differential equations (Q1013191) (← links)
• Multiobjective stochastic control in fluid dynamics via game theory approach: Application to the periodic Burgers equation (Q1014046) (← links)
• An efficient SFE method using Lagrange polynomials: application to nonlinear mechanical problems with uncertain parameters (Q1033324) (← links)
• Stochastic model reduction for chaos representations (Q1033409) (← links)
• Numerical analysis of the Burgers' equation in the presence of uncertainty (Q1038071) (← links)
• A new stochastic approach to transient heat conduction modeling with uncertainty. (Q1429727) (← links)
• An analytic method for sensitivity analysis of complex systems (Q1620358) (← links)
• A robust numerical method for the random interface grating problem via shape calculus, weak Galerkin method, and low-rank approximation (Q1632269) (← links)
• Epistemic uncertainties in RANS model free coefficients (Q1641578) (← links)
• A two-level sparse grid collocation method for semilinear stochastic elliptic equation (Q1642854) (← links)
• Optimal design of stochastic distributed order linear SISO systems using hybrid spectral method (Q1667152) (← links)
• Galerkin methods for stationary radiative transfer equations with uncertain coefficients (Q1669992) (← links)
• Modelling uncertainty in incompressible flow simulation using Galerkin based generalized ANOVA (Q1682767) (← links)
• A fast discrete spectral method for stochastic partial differential equations (Q1683220) (← links)