The following pages link to Umberto Villa (Q1636820):
Displaying 27 items.
- Nonlinear multigrid solvers exploiting AMGe coarse spaces with approximation properties (Q1636821) (← links)
- Derivative-informed projected neural networks for high-dimensional parametric maps governed by PDEs (Q2060092) (← links)
- Forward and inverse modeling of fault transmissibility in subsurface flows (Q2107210) (← links)
- A predictive multiphase model of silica aerogels for building envelope insulations (Q2150246) (← links)
- Taylor approximation and variance reduction for PDE-constrained optimal control under uncertainty (Q2214671) (← links)
- Multifidelity probability estimation via fusion of estimators (Q2221438) (← links)
- Hessian-based adaptive sparse quadrature for infinite-dimensional Bayesian inverse problems (Q2310097) (← links)
- ALADINS: an ALgebraic splitting time ADaptive solver for the Incompressible Navier-Stokes equations (Q2449758) (← links)
- Corrigendum to: ``Derivative-informed projected neural networks for high-dimensional parametric maps governed by PDEs'' (Q2679441) (← links)
- Upscaling of mixed finite element discretization problems by the spectral AMGe method (Q2821783) (← links)
- A block-diagonal algebraic multigrid preconditioner for the Brinkman problem (Q2870665) (← links)
- Numerical Multilevel Upscaling for Incompressible Flow in Reservoir Simulation: An Element-Based Algebraic Multigrid (AMGe) Approach (Q2968578) (← links)
- Multilevel Hierarchical Decomposition of Finite Element White Noise with Application to Multilevel Markov Chain Monte Carlo (Q4997424) (← links)
- hIPPYlib (Q5025234) (← links)
- Multilevel Hierarchical Decomposition of Finite Element White Noise with Application to Multilevel Markov Chain Monte Carlo (Q5161745) (← links)
- Space-Time CFOSLS Methods with AMGe Upscaling (Q5282918) (← links)
- A Multilevel, Hierarchical Sampling Technique for Spatially Correlated Random Fields (Q5372642) (← links)
- A Data Scalable Augmented Lagrangian KKT Preconditioner for Large-Scale Inverse Problems (Q5372667) (← links)
- A Mixed Formulation for the Brinkman Problem (Q5415991) (← links)
- On global normal linear approximations for nonlinear Bayesian inverse problems (Q5886385) (← links)
- Parallel Element-Based Algebraic Multigrid for \(\boldsymbol{H}\) (c<u>ur</u>l) and \(\boldsymbol{H}\) (div) Problems Using the ParELAG Library (Q6108159) (← links)
- Derivative-informed neural operator: an efficient framework for high-dimensional parametric derivative learning (Q6202135) (← links)
- hIPPYlib: An Extensible Software Framework for Large-Scale Inverse Problems Governed by PDEs; Part I: Deterministic Inversion and Linearized Bayesian Inference (Q6324949) (← links)
- Derivative-Informed Projected Neural Networks for High-Dimensional Parametric Maps Governed by PDEs (Q6354925) (← links)
- hIPPYlib-MUQ: a Bayesian inference software framework for integration of data with complex predictive models under uncertainty (Q6601373) (← links)
- Democratizing uncertainty quantification (Q6670722) (← links)
- A note on the relationship between PDE-based precision operators and Matérn covariances (Q6734514) (← links)
