Georg Stadler

Publication Activity (10 Years)

Years Active: 2003-2023
Publications (10 Years): 31

Top Topics

Partial Differential Equations

Optimal Control

Highly Heterogeneous

Top Venues

SIAM J. Sci. Comput.

SIAM/ASA J. Uncertain. Quantification

J. Comput. Phys.

Publications

Tucker Hartland, Georg Stadler, Mauro Perego, Kim Liegeois, Noemi Petra
Hierarchical off-diagonal low-rank approximation of Hessians in inverse problems, with application to ice sheet model initializaiton. CoRR (2023)
Shanyin Tong, Georg Stadler
Large Deviation Theory-based Adaptive Importance Sampling for Rare Events in High Dimensions. SIAM/ASA J. Uncertain. Quantification 11 (3) (2023)
Timo Schorlepp, Shanyin Tong, Tobias Grafke, Georg Stadler
Scalable methods for computing sharp extreme event probabilities in infinite-dimensional stochastic systems. Stat. Comput. 33 (6) (2023)
Yu-Hsuan Shih, Carolin Mehlmann, Martin Losch, Georg Stadler
Robust and efficient primal-dual Newton-Krylov solvers for viscous-plastic sea-ice models. J. Comput. Phys. 474 (2023)
Yu-Hsuan Shih, Georg Stadler, Florian Wechsung
Robust Multigrid Techniques for Augmented Lagrangian Preconditioning of Incompressible Stokes Equations with Extreme Viscosity Variations. SIAM J. Sci. Comput. 45 (3) (2023)
Abhijit Chowdhary, Shanyin Tong, Georg Stadler, Alen Alexanderian
Sensitivity Analysis of the Information Gain in Infinite-Dimensional Bayesian Linear Inverse Problems. CoRR (2023)
Andrew Giuliani, Florian Wechsung, Antoine J. Cerfon, Georg Stadler, Matt Landreman
Single-stage gradient-based stellarator coil design: Optimization for near-axis quasi-symmetry. J. Comput. Phys. 459 (2022)
Yu-Hsuan Shih, Carolin Mehlmann, Martin Losch, Georg Stadler
Robust and efficient primal-dual Newton-Krylov solvers for viscous-plastic sea-ice models. CoRR (2022)
Shanyin Tong, Georg Stadler
Large deviation theory-based adaptive importance sampling for rare events in high dimensions. CoRR (2022)
Matthew M. Dunlop, Georg Stadler
A gradient-free subspace-adjusting ensemble sampler for infinite-dimensional Bayesian inverse problems. CoRR (2022)
Subhayan Mukerjee, Tian Yang, Georg Stadler, Sandra González-Bailón
What counts as a weak tie? A comparison of filtering techniques to analyze co-exposure networks. Soc. Networks 68 (2022)
Chen Li, Matthew M. Dunlop, Georg Stadler
Bayesian neural network priors for edge-preserving inversion. CoRR (2021)
Shanyin Tong, Eric Vanden-Eijnden, Georg Stadler
Estimating earthquake-induced tsunami inundation probabilities without sampling. CoRR (2021)
Andreas Deutschmann-Olek, Georg Stadler, Andreas Kugi
Stochastic Iterative Learning Control for Lumped- and Distributed-Parameter Systems: A Wiener-Filtering Approach. IEEE Trans. Autom. Control. 66 (8) (2021)
Alen Alexanderian, Noemi Petra, Georg Stadler, Isaac Sunseri
Optimal Design of Large-scale Bayesian Linear Inverse Problems Under Reducible Model Uncertainty: Good to Know What You Don't Know. SIAM/ASA J. Uncertain. Quantification 9 (1) (2021)
Yu-Hsuan Shih, Georg Stadler, Florian Wechsung
Robust multigrid techniques for augmented Lagrangian preconditioning of incompressible Stokes equations with extreme viscosity variations. CoRR (2021)
Andrew Giuliani, Florian Wechsung, Antoine J. Cerfon, Georg Stadler, Matt Landreman
Single-stage gradient-based stellarator coil design: Optimization for near-axis quasi-symmetry. CoRR (2020)
Johann Rudi, Yu-Hsuan Shih, Georg Stadler
Advanced Newton Methods for Geodynamical Models of Stokes Flow with Viscoplastic Rheologies. CoRR (2020)
Ana Carpio, Sergei Iakunin, Georg Stadler
Bayesian approach to inverse scattering with topological priors. CoRR (2020)
Shanyin Tong, Eric Vanden-Eijnden, Georg Stadler
Extreme event probability estimation using PDE-constrained optimization and large deviation theory, with application to tsunamis. CoRR (2020)
Ilona Ambartsumyan, Wajih Halim Boukaram, Tan Bui-Thanh, Omar Ghattas, David E. Keyes, Georg Stadler, George Turkiyyah, Stefano Zampini
Hierarchical Matrix Approximations of Hessians Arising in Inverse Problems Governed by PDEs. SIAM J. Sci. Comput. 42 (5) (2020)
Ilona Ambartsumyan, Wajih Bou Karam, Tan Bui-Thanh, Omar Ghattas, David E. Keyes, Georg Stadler, George Turkiyyah, Stefano Zampini
Hierarchical Matrix Approximations of Hessians Arising in Inverse Problems Governed by PDEs. CoRR (2020)
Chen Li, Georg Stadler
Sparse Solutions in Optimal Control of PDEs with Uncertain Parameters: The Linear Case. SIAM J. Control. Optim. 57 (1) (2019)
Libin Lu, Matthew J. Morse, Abtin Rahimian, Georg Stadler, Denis Zorin
Scalable Simulation of Realistic Volume Fraction Red Blood Cell Flows through Vascular Networks. CoRR (2019)
Karina Koval, Alen Alexanderian, Georg Stadler
Optimal experimental design under irreducible uncertainty for inverse problems governed by PDEs. CoRR (2019)
Libin Lu, Matthew J. Morse, Abtin Rahimian, Georg Stadler, Denis Zorin
Scalable simulation of realistic volume fraction red blood cell flows through vascular networks. SC (2019)
Johann Rudi, Georg Stadler, Omar Ghattas
Weighted BFBT Preconditioner for Stokes Flow Problems with Highly Heterogeneous Viscosity. SIAM J. Sci. Comput. 39 (5) (2017)
Alen Alexanderian, Noemi Petra, Georg Stadler, Omar Ghattas
Mean-Variance Risk-Averse Optimal Control of Systems Governed by PDEs with Random Parameter Fields Using Quadratic Approximations. SIAM/ASA J. Uncertain. Quantification 5 (1) (2017)
Johann Rudi, Georg Stadler, Omar Ghattas
Weighted BFBT Preconditioner for Stokes Flow Problems with Highly Heterogeneous Viscosity. CoRR (2016)
Alen Alexanderian, Noemi Petra, Georg Stadler, Omar Ghattas
A Fast and Scalable Method for A-Optimal Design of Experiments for Infinite-dimensional Bayesian Nonlinear Inverse Problems. SIAM J. Sci. Comput. 38 (1) (2016)
Omar Ghattas, Tobin Isaac, Noémi Petra, Georg Stadler
Scalable Algorithms for Bayesian Inference of Large-Scale Models from Large-Scale Data. VECPAR (2016)
Georg Stadler, Andreas Steinboeck, Michael Baumgart, Andreas Kugi
Modellierung des Umschlingungswinkels eines auf Rollen geführten Metallbandes. Autom. 63 (8) (2015)
Roland Herzog, Georg Stadler, Gerd Wachsmuth
Erratum: Directional Sparsity In Optimal Control of Partial Differential Equations. SIAM J. Control. Optim. 53 (4) (2015)
Tobin Isaac, Noemi Petra, Georg Stadler, Omar Ghattas
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. J. Comput. Phys. 296 (2015)
Tobin Isaac, Georg Stadler, Omar Ghattas
Solution of Nonlinear Stokes Equations Discretized By High-Order Finite Elements on Nonconforming and Anisotropic Meshes, with Application to Ice Sheet Dynamics. SIAM J. Sci. Comput. 37 (6) (2015)
Lucas C. Wilcox, Georg Stadler, Tan Bui-Thanh, Omar Ghattas
Discretely Exact Derivatives for Hyperbolic PDE-Constrained Optimization Problems Discretized by the Discontinuous Galerkin Method. J. Sci. Comput. 63 (1) (2015)
Johann Rudi, A. Cristiano I. Malossi, Tobin Isaac, Georg Stadler, Michael Gurnis, Peter W. J. Staar, Yves Ineichen, Costas Bekas, Alessandro Curioni, Omar Ghattas
An extreme-scale implicit solver for complex PDEs: highly heterogeneous flow in earth's mantle. SC (2015)
Hari Sundar, Georg Stadler, George Biros
Comparison of multigrid algorithms for high-order continuous finite element discretizations. Numer. Linear Algebra Appl. 22 (4) (2015)
Alen Alexanderian, Noemi Petra, Georg Stadler, Omar Ghattas
-Sparsification. SIAM J. Sci. Comput. 36 (5) (2014)
Tobin Isaac, Georg Stadler, Omar Ghattas
Solution of nonlinear Stokes equations discretized by high-order finite elements on nonconforming and anisotropic meshes, with application to ice sheet dynamics. CoRR (2014)
Noemi Petra, James Martin, Georg Stadler, Omar Ghattas
A Computational Framework for Infinite-Dimensional Bayesian Inverse Problems, Part II: Stochastic Newton MCMC with Application to Ice Sheet Flow Inverse Problems. SIAM J. Sci. Comput. 36 (4) (2014)
Tan Bui-Thanh, Omar Ghattas, James Martin, Georg Stadler
A Computational Framework for Infinite-Dimensional Bayesian Inverse Problems Part I: The Linearized Case, with Application to Global Seismic Inversion. SIAM J. Sci. Comput. 35 (6) (2013)
Tan Bui-Thanh, Carsten Burstedde, Omar Ghattas, James Martin, Georg Stadler, Lucas C. Wilcox
Extreme-scale UQ for Bayesian inverse problems governed by PDEs. SC (2012)
Roland Herzog, Georg Stadler, Gerd Wachsmuth
Directional Sparsity in Optimal Control of Partial Differential Equations. SIAM J. Control. Optim. 50 (2) (2012)
Hari Sundar, George Biros, Carsten Burstedde, Johann Rudi, Omar Ghattas, Georg Stadler
Parallel geometric-algebraic multigrid on unstructured forests of octrees. SC (2012)
Shan Yang, Georg Stadler, Robert D. Moser, Omar Ghattas
A Shape Hessian-Based Boundary Roughness Analysis of Navier-Stokes Flow. SIAM J. Appl. Math. 71 (1) (2011)
Lucas C. Wilcox, Georg Stadler, Carsten Burstedde, Omar Ghattas
A high-order discontinuous Galerkin method for wave propagation through coupled elastic-acoustic media. J. Comput. Phys. 229 (24) (2010)
Isabel N. Figueiredo, Pedro N. Figueiredo, Georg Stadler, Omar Ghattas, Adérito Araújo
Variational Image Segmentation for Endoscopic Human Colonic Aberrant Crypt Foci. IEEE Trans. Medical Imaging 29 (4) (2010)
Carsten Burstedde, Omar Ghattas, Michael Gurnis, Tobin Isaac, Georg Stadler, Tim Warburton, Lucas C. Wilcox
Extreme-Scale AMR. SC (2010)
Georg Stadler
-control cost and applications for the placement of control devices. Comput. Optim. Appl. 44 (2) (2009)
Carsten Burstedde, Omar Ghattas, Michael Gurnis, Georg Stadler, Eh Tan, Tiankai Tu, Lucas C. Wilcox, Shijie Zhong
Scalable adaptive mantle convection simulation on petascale supercomputers. SC (2008)
Stefan Hüeber, Georg Stadler, Barbara I. Wohlmuth
A Primal-Dual Active Set Algorithm for Three-Dimensional Contact Problems with Coulomb Friction. SIAM J. Sci. Comput. 30 (2) (2008)
Michael Hintermüller, Georg Stadler
An Infeasible Primal-Dual Algorithm for Total Bounded Variation-Based Inf-Convolution-Type Image Restoration. SIAM J. Sci. Comput. 28 (1) (2006)
Georg Stadler
Semismooth Newton and Augmented Lagrangian Methods for a Simplified Friction Problem. SIAM J. Optim. 15 (1) (2004)
Maximilian Keisers, Lutz Niehüser, Georg Stadler
Digitized Media: Effects on Economy and Society. Wirtschaftsinformatik (2) (2003)