Pages that link to "Item:Q1014342"

The following pages link to Application of hierarchical matrices for computing the Karhunen-Loève expansion (Q1014342):

Displaying 34 items.

• Modified SFEM for computational homogenization of heterogeneous materials with microstructural geometric uncertainties (Q268803) (← links)
• Mini-workshop: Numerical upscaling for media with deterministic and stochastic heterogeneity. Abstracts from the workshop held February 10--16, 2013. (Q343379) (← links)
• Sampling-free linear Bayesian update of polynomial chaos representations (Q385895) (← links)
• A deterministic filter for non-Gaussian Bayesian estimation -- Applications to dynamical system estimation with noisy measurements (Q423042) (← links)
• Numerical methods for the discretization of random fields by means of the Karhunen-Loève expansion (Q460805) (← links)
• Efficient shape optimization for certain and uncertain aerodynamic design (Q536665) (← links)
• Iterative algorithms for the post-processing of high-dimensional data (Q777570) (← links)
• Fast random field generation with \(H\)-matrices (Q1616019) (← links)
• A dynamical polynomial chaos approach for long-time evolution of SPDEs (Q1693454) (← links)
• On stochastic FEM based computational homogenization of magneto-active heterogeneous materials with random microstructure (Q1693729) (← links)
• Faster computation of the Karhunen-Loève expansion using its domain independence property (Q1798550) (← links)
• A Galerkin isogeometric method for Karhunen-Loève approximation of random fields (Q1986219) (← links)
• Random field simulation over curved surfaces: applications to computational structural mechanics (Q1986783) (← links)
• Fast sampling of parameterised Gaussian random fields (Q1987947) (← links)
• A matrix-free isogeometric Galerkin method for Karhunen-Loève approximation of random fields using tensor product splines, tensor contraction and interpolation based quadrature (Q2021879) (← links)
• Physics-informed machine learning with conditional Karhunen-Loève expansions (Q2126979) (← links)
• Solution of the 3D density-driven groundwater flow problem with uncertain porosity and permeability (Q2176414) (← links)
• Fokker-Planck linearization for non-Gaussian stochastic elastoplastic finite elements (Q2308577) (← links)
• Tucker tensor analysis of Matérn functions in spatial statistics (Q2324355) (← links)
• Likelihood approximation with hierarchical matrices for large spatial datasets (Q2416774) (← links)
• Karhunen-Loève decomposition of random fields based on a hierarchical matrix approach (Q2952286) (← links)
• Polynomial Chaos Expansion of Random Coefficients and the Solution of Stochastic Partial Differential Equations in the Tensor Train Format (Q3452537) (← links)
• Efficient approximation of random fields for numerical applications (Q3466257) (← links)
• (Q3623653) (← links)
• Analysis of Circulant Embedding Methods for Sampling Stationary Random Fields (Q4572025) (← links)
• Fast Spatial Gaussian Process Maximum Likelihood Estimation via Skeletonization Factorizations (Q4601605) (← links)
• Multilevel Quasi Monte Carlo Methods for Elliptic PDEs with Random Field Coefficients via Fast White Noise Sampling (Q5010235) (← links)
• Optimization-Based Markov Chain Monte Carlo Methods for Nonlinear Hierarchical Statistical Inverse Problems (Q5149778) (← links)
• Analysis of Boundary Effects on PDE-Based Sampling of Whittle--Matérn Random Fields (Q5237181) (← links)
• Quantification of Airfoil Geometry-Induced Aerodynamic Uncertainties---Comparison of Approaches (Q5269866) (← links)
• Randomized algorithms for generalized Hermitian eigenvalue problems with application to computing Karhunen–Loève expansion (Q5739763) (← links)
• Spatial best linear unbiased prediction: a computational mathematics approach for high dimensional massive datasets (Q6500169) (← links)
• An isogeometric collocation method for efficient random field discretization (Q6555275) (← links)
• Uncertainty modeling and propagation for groundwater flow: a comparative study of surrogates (Q6587664) (← links)