Pages that link to "Item:Q4785938"

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

Displaying 50 items.

• A survey of unsupervised learning methods for high-dimensional uncertainty quantification in black-box-type problems (Q2672767) (← links)
• A meshfree peridynamic model for brittle fracture in randomly heterogeneous materials (Q2674080) (← links)
• A weak-intrusive stochastic finite element method for stochastic structural dynamics analysis (Q2674092) (← links)
• Optimal sparse polynomial chaos expansion for arbitrary probability distribution and its application on global sensitivity analysis (Q2674097) (← links)
• Uncertainty quantification for hybrid random logistic models with harvesting via density functions (Q2675546) (← links)
• Stochastic analysis of structures under limited observations using kernel density estimation and arbitrary polynomial chaos expansion (Q2679444) (← links)
• A Riemannian stochastic representation for quantifying model uncertainties in molecular dynamics simulations (Q2679453) (← links)
• Sparse polynomial approximations for affine parametric saddle point problems (Q2679763) (← links)
• Projection pursuit adaptation on polynomial chaos expansions (Q2683425) (← links)
• A stochastic finite element scheme for solving partial differential equations defined on random domains (Q2683445) (← links)
• The method of forced probabilities: a computation trick for Bayesian model evidence (Q2683515) (← links)
• Stochastic Galerkin method for cloud simulation (Q2685436) (← links)
• A spectral surrogate model for stochastic simulators computed from trajectory samples (Q2686878) (← links)
• Stochastic Galerkin method for cloud simulation. II: A fully random Navier-Stokes-cloud model (Q2687558) (← links)
• On the influence of over-parameterization in manifold based surrogates and deep neural operators (Q2687573) (← links)
• Stochastic Galerkin particle methods for kinetic equations of plasmas with uncertainties (Q2687575) (← links)
• Comparison of the performance and reliability between improved sampling strategies for polynomial chaos expansion (Q2688361) (← links)
• Stochastic discontinuous Galerkin methods for robust deterministic control of convection-diffusion equations with uncertain coefficients (Q2692801) (← links)
• Efficient parametric study of a stochastic airfoil system based on hybrid surrogate modeling with advanced automatic kriging construction (Q2692823) (← links)
• Nonadaptive quasi-optimal points selection for least squares linear regression (Q2790089) (← links)
• Inverse subspace iteration for spectral stochastic finite element methods (Q2801326) (← links)
• Fundamental equations with higher order Malliavin operators (Q2803414) (← links)
• The use of polynomial chaos for parameter identification from measurements in nonlinear dynamical systems (Q2803447) (← links)
• From Data to Uncertainty: An Efficient Integrated Data-Driven Sparse Grid Approach to Propagate Uncertainty (Q2808016) (← links)
• A survey of projection-based model reduction methods for parametric dynamical systems (Q2808259) (← links)
• An adaptive stochastic Galerkin method for random elliptic operators (Q2840619) (← links)
• A 3D model to simulate vibrations in a layered medium with stochastic material parameters (Q2845390) (← links)
• Non-intrusive Uncertainty Propagation with Error Bounds for Conservation Laws Containing Discontinuities (Q2864842) (← links)
• Essentially Non-oscillatory Stencil Selection and Subcell Resolution in Uncertainty Quantification (Q2864849) (← links)
• Generalised polynomial chaos expansion approaches to approximate stochastic model predictive control^† (Q2868825) (← links)
• Discontinuous Galerkin methods for elliptic partial differential equations with random coefficients (Q2874323) (← links)
• Exploring emerging manycore architectures for uncertainty quantification through embedded stochastic Galerkin methods (Q2875308) (← links)
• Emulation to simulate low-resolution atmospheric data (Q2875311) (← links)
• Efficient computation of unsteady flow in complex river systems with uncertain inputs (Q2875314) (← links)
• Gaussian process emulators for the stochastic finite element method (Q2894757) (← links)
• A nonintrusive stochastic multiscale solver (Q2894845) (← links)
• Adaptive numerical solutions of stochastic differential equations (Q2895116) (← links)
• Wiener Calculus for Differential Equations with Uncertainties (Q2905439) (← links)
• Parameter estimation for mechanical systems via an explicit representation of uncertainty (Q2937934) (← links)
• A Stochastic Galerkin Method for Hamilton--Jacobi Equations with Uncertainty (Q2947054) (← links)
• Interval uncertain method for multibody mechanical systems using Chebyshev inclusion functions (Q2952325) (← links)
• Efficient uncertainty propagation for network multiphysics systems (Q2952517) (← links)
• Sparse grids-based stochastic approximations with applications to aerodynamics sensitivity analysis (Q2952874) (← links)
• A new solution method for stochastic differential equations via collocation approach (Q2958276) (← links)
• Sparse Approximation using $\ell_1-\ell_2$ Minimization and Its Application to Stochastic Collocation (Q2964447) (← links)
• Stochastic Collocation Methods via $\ell_1$ Minimization Using Randomized Quadratures (Q2968585) (← links)
• Statistical reconstruction and Karhunen-Loève expansion for multiphase random media (Q2968724) (← links)
• A Christoffel function weighted least squares algorithm for collocation approximations (Q2970106) (← links)
• An efficient algorithm for a certain class of robust optimization problems (Q2970721) (← links)
• <i>A Priori</i> Error Estimate of Stochastic Galerkin Method for Optimal Control Problem Governed by Random Parabolic PDE with Constrained Control (Q2972154) (← links)