Digitized Media: Effects on Economy and Society. - Maximilian Keisers; Lutz Niehüser; Georg Stadler (Wirtschaftsinformatik (2), 2003)

Semismooth Newton and Augmented Lagrangian Methods for a Simplified Friction Problem. - Georg Stadler (SIAM J. Optim., 2004)

An Infeasible Primal-Dual Algorithm for Total Bounded Variation-Based Inf-Convolution-Type Image Restoration. - Michael Hintermüller; Georg Stadler (SIAM J. Sci. Comput., 2006)

Scalable adaptive mantle convection simulation on petascale supercomputers. - Carsten Burstedde; Omar Ghattas; Michael Gurnis; Georg Stadler; Eh Tan; Tiankai Tu; Lucas C. Wilcox; Shijie Zhong (SC, 2008)

A Primal-Dual Active Set Algorithm for Three-Dimensional Contact Problems with Coulomb Friction. - Stefan Hüeber; Georg Stadler; Barbara I. Wohlmuth (SIAM J. Sci. Comput., 2008)

Elliptic optimal control problems with L1-control cost and applications for the placement of control devices. - Georg Stadler (Comput. Optim. Appl., 2009)

Extreme-Scale AMR. - Carsten Burstedde; Omar Ghattas; Michael Gurnis; Tobin Isaac; Georg Stadler; Tim Warburton; Lucas C. Wilcox (SC, 2010)

A high-order discontinuous Galerkin method for wave propagation through coupled elastic-acoustic media. - Lucas C. Wilcox; Georg Stadler; Carsten Burstedde; Omar Ghattas (J. Comput. Phys., 2010)

Variational Image Segmentation for Endoscopic Human Colonic Aberrant Crypt Foci. - Isabel N. Figueiredo; Pedro N. Figueiredo; Georg Stadler; Omar Ghattas; Adérito Araújo (IEEE Trans. Medical Imaging, 2010)

A Shape Hessian-Based Boundary Roughness Analysis of Navier-Stokes Flow. - Shan Yang; Georg Stadler; Robert D. Moser; Omar Ghattas (SIAM J. Appl. Math., 2011)

Extreme-scale UQ for Bayesian inverse problems governed by PDEs. - Tan Bui-Thanh; Carsten Burstedde; Omar Ghattas; James Martin; Georg Stadler; Lucas C. Wilcox (SC, 2012)

Parallel geometric-algebraic multigrid on unstructured forests of octrees. - Hari Sundar; George Biros; Carsten Burstedde; Johann Rudi; Omar Ghattas; Georg Stadler (SC, 2012)

Directional Sparsity in Optimal Control of Partial Differential Equations. - Roland Herzog; Georg Stadler; Gerd Wachsmuth (SIAM J. Control. Optim., 2012)

A Computational Framework for Infinite-Dimensional Bayesian Inverse Problems Part I: The Linearized Case, with Application to Global Seismic Inversion. - Tan Bui-Thanh; Omar Ghattas; James Martin; Georg Stadler (SIAM J. Sci. Comput., 2013)

A-Optimal Design of Experiments for Infinite-Dimensional Bayesian Linear Inverse Problems with Regularized ℓ0-Sparsification. - Alen Alexanderian; Noemi Petra; Georg Stadler; Omar Ghattas (SIAM J. Sci. Comput., 2014)

A Computational Framework for Infinite-Dimensional Bayesian Inverse Problems, Part II: Stochastic Newton MCMC with Application to Ice Sheet Flow Inverse Problems. - Noemi Petra; James Martin; Georg Stadler; Omar Ghattas (SIAM J. Sci. Comput., 2014)

An extreme-scale implicit solver for complex PDEs: highly heterogeneous flow in earth's mantle. - Johann Rudi; A. Cristiano I. Malossi; Tobin Isaac; Georg Stadler; Michael Gurnis; Peter W. J. Staar; Yves Ineichen; Costas Bekas; Alessandro Curioni; Omar Ghattas (SC, 2015)

Modellierung des Umschlingungswinkels eines auf Rollen geführten Metallbandes. - Georg Stadler; Andreas Steinboeck; Michael Baumgart; Andreas Kugi (Autom., 2015)

Scalable and efficient algorithms for the propagation of uncertainty from data through inference to prediction for large-scale problems, with application to flow of the Antarctic ice sheet. - Tobin Isaac; Noemi Petra; Georg Stadler; Omar Ghattas (J. Comput. Phys., 2015)

Discretely Exact Derivatives for Hyperbolic PDE-Constrained Optimization Problems Discretized by the Discontinuous Galerkin Method. - Lucas C. Wilcox; Georg Stadler; Tan Bui-Thanh; Omar Ghattas (J. Sci. Comput., 2015)

Comparison of multigrid algorithms for high-order continuous finite element discretizations. - Hari Sundar; Georg Stadler; George Biros (Numer. Linear Algebra Appl., 2015)

Erratum: Directional Sparsity In Optimal Control of Partial Differential Equations. - Roland Herzog; Georg Stadler; Gerd Wachsmuth (SIAM J. Control. Optim., 2015)

Solution of Nonlinear Stokes Equations Discretized By High-Order Finite Elements on Nonconforming and Anisotropic Meshes, with Application to Ice Sheet Dynamics. - Tobin Isaac; Georg Stadler; Omar Ghattas (SIAM J. Sci. Comput., 2015)

Scalable Algorithms for Bayesian Inference of Large-Scale Models from Large-Scale Data. - Omar Ghattas; Tobin Isaac; Noémi Petra; Georg Stadler (VECPAR, 2016)

A Fast and Scalable Method for A-Optimal Design of Experiments for Infinite-dimensional Bayesian Nonlinear Inverse Problems. - Alen Alexanderian; Noemi Petra; Georg Stadler; Omar Ghattas (SIAM J. Sci. Comput., 2016)

Mean-Variance Risk-Averse Optimal Control of Systems Governed by PDEs with Random Parameter Fields Using Quadratic Approximations. - Alen Alexanderian; Noemi Petra; Georg Stadler; Omar Ghattas (SIAM/ASA J. Uncertain. Quantification, 2017)

Weighted BFBT Preconditioner for Stokes Flow Problems with Highly Heterogeneous Viscosity. - Johann Rudi; Georg Stadler; Omar Ghattas (SIAM J. Sci. Comput., 2017)

Scalable simulation of realistic volume fraction red blood cell flows through vascular networks. - Libin Lu; Matthew J. Morse; Abtin Rahimian; Georg Stadler; Denis Zorin (SC, 2019)

Optimal experimental design under irreducible uncertainty for inverse problems governed by PDEs. - Karina Koval; Alen Alexanderian; Georg Stadler (CoRR, 2019)

Sparse Solutions in Optimal Control of PDEs with Uncertain Parameters: The Linear Case. - Chen Li; Georg Stadler (SIAM J. Control. Optim., 2019)

Bayesian approach to inverse scattering with topological priors. - Ana Carpio; Sergei Iakunin; Georg Stadler (CoRR, 2020)

Hierarchical Matrix Approximations of Hessians Arising in Inverse Problems Governed by PDEs. - Ilona Ambartsumyan; Wajih Bou Karam; Tan Bui-Thanh; Omar Ghattas; David E. Keyes; Georg Stadler; George Turkiyyah; Stefano Zampini (CoRR, 2020)

Advanced Newton Methods for Geodynamical Models of Stokes Flow with Viscoplastic Rheologies. - Johann Rudi; Yu-Hsuan Shih; Georg Stadler (CoRR, 2020)

Extreme event probability estimation using PDE-constrained optimization and large deviation theory, with application to tsunamis. - Shanyin Tong; Eric Vanden-Eijnden; Georg Stadler (CoRR, 2020)

Hierarchical Matrix Approximations of Hessians Arising in Inverse Problems Governed by PDEs. - Ilona Ambartsumyan; Wajih Halim Boukaram; Tan Bui-Thanh; Omar Ghattas; David E. Keyes; Georg Stadler; George Turkiyyah; Stefano Zampini (SIAM J. Sci. Comput., 2020)

Estimating earthquake-induced tsunami inundation probabilities without sampling. - Shanyin Tong; Eric Vanden-Eijnden; Georg Stadler (CoRR, 2021)

Bayesian neural network priors for edge-preserving inversion. - Chen Li 003; Matthew M. Dunlop; Georg Stadler (CoRR, 2021)

Optimal Design of Large-scale Bayesian Linear Inverse Problems Under Reducible Model Uncertainty: Good to Know What You Don't Know. - Alen Alexanderian; Noemi Petra; Georg Stadler; Isaac Sunseri (SIAM/ASA J. Uncertain. Quantification, 2021)

Stochastic Iterative Learning Control for Lumped- and Distributed-Parameter Systems: A Wiener-Filtering Approach. - Andreas Deutschmann-Olek; Georg Stadler; Andreas Kugi (IEEE Trans. Autom. Control., 2021)

A gradient-free subspace-adjusting ensemble sampler for infinite-dimensional Bayesian inverse problems. - Matthew M. Dunlop; Georg Stadler (CoRR, 2022)

Single-stage gradient-based stellarator coil design: Optimization for near-axis quasi-symmetry. - Andrew Giuliani; Florian Wechsung; Antoine J. Cerfon; Georg Stadler; Matt Landreman (J. Comput. Phys., 2022)

What counts as a weak tie? A comparison of filtering techniques to analyze co-exposure networks. - Subhayan Mukerjee; Tian Yang; Georg Stadler; Sandra González-Bailón (Soc. Networks, 2022)

Hierarchical off-diagonal low-rank approximation of Hessians in inverse problems, with application to ice sheet model initializaiton. - Tucker Hartland; Georg Stadler; Mauro Perego; Kim Liegeois; Noemi Petra (CoRR, 2023)

Sensitivity Analysis of the Information Gain in Infinite-Dimensional Bayesian Linear Inverse Problems. - Abhijit Chowdhary; Shanyin Tong; Georg Stadler; Alen Alexanderian (CoRR, 2023)

Robust and efficient primal-dual Newton-Krylov solvers for viscous-plastic sea-ice models. - Yu-Hsuan Shih; Carolin Mehlmann; Martin Losch; Georg Stadler (J. Comput. Phys., 2023)

Robust Multigrid Techniques for Augmented Lagrangian Preconditioning of Incompressible Stokes Equations with Extreme Viscosity Variations. - Yu-Hsuan Shih; Georg Stadler; Florian Wechsung (SIAM J. Sci. Comput., 2023)

Large Deviation Theory-based Adaptive Importance Sampling for Rare Events in High Dimensions. - Shanyin Tong; Georg Stadler (SIAM/ASA J. Uncertain. Quantification, 2023)

Scalable methods for computing sharp extreme event probabilities in infinite-dimensional stochastic systems. - Timo Schorlepp; Shanyin Tong; Tobias Grafke; Georg Stadler (Stat. Comput., 2023)

Optimal control under uncertainty with joint chance state constraints: almost-everywhere bounds, variance reduction, and application to (bi-)linear elliptic PDEs. - René Henrion; Georg Stadler; Florian Wechsung (CoRR, 2024)