Pages that link to "Item:Q5404608"

The following pages link to Adaptive Smolyak Pseudospectral Approximations (Q5404608):

Displaying 50 items.

• Quantifying initial and wind forcing uncertainties in the gulf of Mexico (Q341542) (← links)
• Efficient uncertainty quantification of a fully nonlinear and dispersive water wave model with random inputs (Q524393) (← links)
• Sparse pseudospectral approximation method (Q695891) (← links)
• SAMBA: sparse approximation of moment-based arbitrary polynomial chaos (Q726888) (← links)
• Enhancing \(\ell_1\)-minimization estimates of polynomial chaos expansions using basis selection (Q729190) (← links)
• Sensitivity-driven adaptive sparse stochastic approximations in plasma microinstability analysis (Q777569) (← links)
• A priori testing of sparse adaptive polynomial chaos expansions using an ocean general circulation model database (Q1663464) (← links)
• Smolyak cubature of given polynomial degree with few nodes for increasing dimension (Q1865745) (← links)
• A preconditioning approach for improved estimation of sparse polynomial chaos expansions (Q1986404) (← links)
• Model order reduction and low-dimensional representations for random linear dynamical systems (Q1996955) (← links)
• M-PCM-OFFD: an effective output statistics estimation method for systems of high dimensional uncertainties subject to low-order parameter interactions (Q1997513) (← links)
• Model order reduction for random nonlinear dynamical systems and low-dimensional representations for their quantities of interest (Q1997672) (← links)
• Uncertainty quantification in discrete fracture network models: stochastic fracture transmissivity (Q2006183) (← links)
• Polynomial surrogates for Bayesian traveltime tomography (Q2062365) (← links)
• A multi-fidelity polynomial chaos-greedy Kaczmarz approach for resource-efficient uncertainty quantification on limited budget (Q2072434) (← links)
• Propagation of uncertainties in density-driven flow (Q2091293) (← links)
• Polynomial chaos expansions for dependent random variables (Q2173605) (← links)
• Solution of the 3D density-driven groundwater flow problem with uncertain porosity and permeability (Q2176414) (← links)
• Numerical approximation of poroelasticity with random coefficients using polynomial chaos and hybrid high-order methods (Q2176920) (← links)
• Stochastic preconditioning of domain decomposition methods for elliptic equations with random coefficients (Q2236998) (← links)
• Polynomial chaos level points method for one-dimensional uncertain steep problems (Q2291899) (← links)
• On the construction of uncertain time series surrogates using polynomial chaos and Gaussian processes (Q2292255) (← links)
• Probabilistic modeling and global sensitivity analysis for CO\(_2\) storage in geological formations: a spectral approach (Q2294969) (← links)
• Gradient-based optimization for regression in the functional tensor-train format (Q2312177) (← links)
• Sparse pseudo spectral projection methods with directional adaptation for uncertainty quantification (Q2399195) (← links)
• A resilient domain decomposition polynomial chaos solver for uncertain elliptic PDEs (Q2414430) (← links)
• Multi-fidelity non-intrusive polynomial chaos based on regression (Q2419306) (← links)
• Coordinate transformation and polynomial chaos for the Bayesian inference of a Gaussian process with parametrized prior covariance function (Q2631575) (← links)
• Non-intrusive reduced order modelling of the Navier-Stokes equations (Q2632971) (← links)
• On the influence of over-parameterization in manifold based surrogates and deep neural operators (Q2687573) (← links)
• Spectral tensor-train decomposition (Q2818241) (← links)
• Exploring emerging manycore architectures for uncertainty quantification through embedded stochastic Galerkin methods (Q2875308) (← links)
• Sparse grids-based stochastic approximations with applications to aerodynamics sensitivity analysis (Q2952874) (← links)
• A Goal-Oriented Reduced Basis Methods-Accelerated Generalized Polynomial Chaos Algorithm (Q3179335) (← links)
• Nonintrusive Uncertainty Analysis of Fluid-Structure Interaction with Spatially Adaptive Sparse Grids and Polynomial Chaos Expansion (Q4610141) (← links)
• Thermal Tomography with Unknown Boundary (Q4641597) (← links)
• Design analysis for optimal calibration of diffusivity in reactive multilayers (Q5073610) (← links)
• A Reduced-Basis Polynomial-Chaos Approach with a Multi-parametric Truncation Scheme for Problems with Uncertainties (Q5153575) (← links)
• Multilevel Adaptive Sparse Leja Approximations for Bayesian Inverse Problems (Q5216784) (← links)
• Nonintrusive Polynomial Chaos Expansions for Sensitivity Analysis in Stochastic Differential Equations (Q5269869) (← links)
• A Generalized Sampling and Preconditioning Scheme for Sparse Approximation of Polynomial Chaos Expansions (Q5275042) (← links)
• Cubature, Approximation, and Isotropy in the Hypercube (Q5348327) (← links)
• Efficient Computation of Sobol' Indices for Stochastic Models (Q5350218) (← links)
• Least Squares Approximation of Polynomial Chaos Expansions With Optimized Grid Points (Q5358956) (← links)
• Mercer Kernels and Integrated Variance Experimental Design: Connections Between Gaussian Process Regression and Polynomial Approximation (Q5741201) (← links)
• Uncertainty quantification for mineral precipitation and dissolution in fractured porous media (Q6113806) (← links)
• High-dimensional approximation with kernel-based multilevel methods on sparse grids (Q6135915) (← links)
• A fully Bayesian sparse polynomial chaos expansion approach with joint priors on the coefficients and global selection of terms (Q6162876) (← links)
• A minimally invasive, efficient method for propagation of full-field uncertainty in solid dynamics (Q6554045) (← links)
• Sparse collocation method for global sensitivity analysis and calculation of statistics of solutions in SPDEs (Q6556870) (← links)