Pages that link to "Item:Q1684992"
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The following pages link to Basis adaptation and domain decomposition for steady-state partial differential equations with random coefficients (Q1684992):
Displaying 10 items.
- Conditional Karhunen-Loève expansion for uncertainty quantification and active learning in partial differential equation models (Q2124564) (← links)
- A physics-aware, probabilistic machine learning framework for coarse-graining high-dimensional systems in the small data regime (Q2222510) (← links)
- Stochastic preconditioning of domain decomposition methods for elliptic equations with random coefficients (Q2236998) (← links)
- Acceleration of uncertainty propagation through Lagrange multipliers in partitioned stochastic method (Q2310251) (← links)
- An adaptive dynamically low-dimensional approximation method for multiscale stochastic diffusion equations (Q2423684) (← links)
- Multi-element stochastic reduced basis methods (Q2637969) (← links)
- Domain decomposition of stochastic PDEs: Theoretical formulations (Q3617492) (← links)
- Stochastic Basis Adaptation and Spatial Domain Decomposition for Partial Differential Equations with Random Coefficients (Q4636374) (← links)
- A Domain Decomposition Model Reduction Method for Linear Convection-Diffusion Equations with Random Coefficients (Q5230626) (← links)
- Conditional Karhunen-Loève regression model with basis adaptation for high-dimensional problems: uncertainty quantification and inverse modeling (Q6118544) (← links)
