Pages that link to "Item:Q995313"

The following pages link to Stochastic collocation and mixed finite elements for flow in porous media (Q995313):

Displaying 42 items.

• Kalman filter parameter estimation for a nonlinear diffusion model of epithelial cell migration using stochastic collocation and the Karhunen-Loeve expansion (Q299402) (← links)
• Mixed finite element analysis of lognormal diffusion and multilevel Monte Carlo methods (Q507013) (← links)
• A stochastic mixed finite element heterogeneous multiscale method for flow in porous media (Q550908) (← links)
• A multiscale preconditioner for stochastic mortar mixed finite elements (Q646355) (← links)
• The stochastic finite element method: past, present and future (Q658211) (← links)
• Direct computation of stochastic flow in reservoirs with uncertain parameters (Q676357) (← links)
• Stability of algorithms for a two domain natural convection problem and observed model uncertainty (Q695709) (← links)
• Analysis of stochastic mimetic finite difference methods and their applications in single-phase stochastic flows (Q695814) (← links)
• A stabilized stochastic finite element second-order projection method for modeling natural convection in random porous media (Q942286) (← links)
• An adaptive high-dimensional stochastic model representation technique for the solution of stochastic partial differential equations (Q969458) (← links)
• Multiscale finite element methods for stochastic porous media flow equations and application to uncertainty quantification (Q995301) (← links)
• A stochastic multiscale framework for modeling flow through random heterogeneous porous media (Q1010336) (← links)
• Evaluating the uncertainty of darcy velocity with sparse grid collocation method (Q1047454) (← links)
• A two-stage adaptive stochastic collocation method on nested sparse grids for multiphase flow in randomly heterogeneous porous media (Q1691780) (← links)
• Coherence motivated sampling and convergence analysis of least squares polynomial chaos regression (Q1734451) (← links)
• Stochastic analysis of multiphase flow in porous media. I: Spectral/perturbation approach (Q1911124) (← links)
• Stochastic boundary elements for two-dimensional potential flow in non-homogeneous media (Q1913238) (← links)
• Application of adaptive ANOVA and reduced basis methods to the stochastic Stokes-Brinkman problem (Q2027195) (← links)
• A multigrid multilevel Monte Carlo method for Stokes-Darcy model with random hydraulic conductivity and Beavers-Joseph condition (Q2067300) (← links)
• Numerical analysis of a second order ensemble algorithm for numerical approximation of stochastic Stokes-Darcy equations (Q2074875) (← links)
• A computational macroscale model for the time fractional poroelasticity problem in fractured and heterogeneous media (Q2088812) (← links)
• Fast and accurate artificial compressibility ensemble algorithms for computing parameterized Stokes-Darcy flow ensembles (Q2111177) (← links)
• A stochastic collocation method based on sparse grids for a stochastic Stokes-Darcy model (Q2129156) (← links)
• Numerical approximation of poroelasticity with random coefficients using polynomial chaos and hybrid high-order methods (Q2176920) (← links)
• Stochastic multiscale flux basis for Stokes-Darcy flows (Q2222695) (← links)
• Machine learning for accelerating macroscopic parameters prediction for poroelasticity problem in stochastic media (Q2226818) (← links)
• An efficient stochastic framework to propagate the effect of the random solid-pore geometry of porous media on the pore-scale flow (Q2308893) (← links)
• Uncertainty quantification for stochastic dynamical systems using time-dependent stochastic bases (Q2313499) (← links)
• Conditional stochastic simulations of flow and transport with Karhunen-Loève expansions, stochastic collocation, and sequential Gaussian simulation (Q2336619) (← links)
• Generalized polynomial chaos decomposition and spectral methods for the stochastic Stokes equations (Q2362030) (← links)
• A Stochastic Mortar Mixed Finite Element Method for Flow in Porous Media with Multiple Rock Types (Q3103522) (← links)
• A combined collocation and Monte Carlo method for advection-diffusion equation of a solute in random porous media (Q3465870) (← links)
• Convergence of Probability Densities Using Approximate Models for Forward and Inverse Problems in Uncertainty Quantification (Q4553787) (← links)
• Implementation of the Multiscale Stochastic Finite Element Method on Elliptic PDE Problems (Q4564924) (← links)
• Combining Push-Forward Measures and Bayes' Rule to Construct Consistent Solutions to Stochastic Inverse Problems (Q4610150) (← links)
• Efficient Reduced Basis Methods for Saddle Point Problems with Applications in Groundwater Flow (Q4636360) (← links)
• Efficient stochastic FEM for flow in heterogeneous porous media. Part 1: random Gaussian conductivity coefficients (Q4964865) (← links)
• Prediction of numerical homogenization using deep learning for the Richards equation (Q6098948) (← links)
• Advancing wave equation analysis in dual-continuum systems: a partial learning approach with discrete empirical interpolation and deep neural networks (Q6489267) (← links)
• An artificial compressibility ensemble algorithm for a stochastic Stokes-Darcy model with random hydraulic conductivity and interface conditions (Q6497680) (← links)
• Numerical methods for reinterpreted discrete fracture models with random inputs (Q6569174) (← links)
• Prediction of discretization of online GMsFEM using deep learning for Richards equation (Q6593325) (← links)