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2020 – today
- 2024
[i18]René Henrion, Georg Stadler, Florian Wechsung:
Optimal control under uncertainty with joint chance state constraints: almost-everywhere bounds, variance reduction, and application to (bi-)linear elliptic PDEs. CoRR abs/2412.05125 (2024)- 2023
- [j30]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: 111802 (2023) - [j29]Shanyin Tong, Georg Stadler:
Large Deviation Theory-based Adaptive Importance Sampling for Rare Events in High Dimensions. SIAM/ASA J. Uncertain. Quantification 11(3): 788-813 (2023) - [j28]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): 137 (2023) - [j27]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): S27-S53 (2023) - [i17]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 abs/2301.03644 (2023) - [i16]Abhijit Chowdhary, Shanyin Tong, Georg Stadler, Alen Alexanderian:
Sensitivity Analysis of the Information Gain in Infinite-Dimensional Bayesian Linear Inverse Problems. CoRR abs/2310.16906 (2023) - 2022
- [j26]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: 111147 (2022) - [j25]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: 386-393 (2022) - [i15]Matthew M. Dunlop, Georg Stadler:
A gradient-free subspace-adjusting ensemble sampler for infinite-dimensional Bayesian inverse problems. CoRR abs/2202.11088 (2022) - [i14]Yu-Hsuan Shih, Carolin Mehlmann, Martin Losch, Georg Stadler:
Robust and efficient primal-dual Newton-Krylov solvers for viscous-plastic sea-ice models. CoRR abs/2204.10822 (2022) - [i13]Shanyin Tong, Georg Stadler:
Large deviation theory-based adaptive importance sampling for rare events in high dimensions. CoRR abs/2209.06278 (2022) - 2021
- [j24]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): 163-184 (2021) - [j23]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): 3856-3862 (2021) - [i12]Yu-Hsuan Shih, Georg Stadler, Florian Wechsung:
Robust multigrid techniques for augmented Lagrangian preconditioning of incompressible Stokes equations with extreme viscosity variations. CoRR abs/2107.00820 (2021) - [i11]Shanyin Tong, Eric Vanden-Eijnden, Georg Stadler:
Estimating earthquake-induced tsunami inundation probabilities without sampling. CoRR abs/2111.14325 (2021) - [i10]Chen Li, Matthew M. Dunlop, Georg Stadler:
Bayesian neural network priors for edge-preserving inversion. CoRR abs/2112.10663 (2021) - 2020
- [j22]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): A3397-A3426 (2020) - [i9]Ana Carpio, Sergei Iakunin, Georg Stadler:
Bayesian approach to inverse scattering with topological priors. CoRR abs/2003.09318 (2020) - [i8]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 abs/2003.10173 (2020) - [i7]Johann Rudi, Yu-Hsuan Shih, Georg Stadler:
Advanced Newton Methods for Geodynamical Models of Stokes Flow with Viscoplastic Rheologies. CoRR abs/2003.11115 (2020) - [i6]Shanyin Tong, Eric Vanden-Eijnden, Georg Stadler:
Extreme event probability estimation using PDE-constrained optimization and large deviation theory, with application to tsunamis. CoRR abs/2007.13930 (2020) - [i5]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 abs/2010.02033 (2020)
2010 – 2019
- 2019
- [j21]Chen Li, Georg Stadler:
Sparse Solutions in Optimal Control of PDEs with Uncertain Parameters: The Linear Case. SIAM J. Control. Optim. 57(1): 633-658 (2019) - [c8]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: 6:1-6:30 - [i4]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 abs/1909.11085 (2019) - [i3]Karina Koval, Alen Alexanderian, Georg Stadler:
Optimal experimental design under irreducible uncertainty for inverse problems governed by PDEs. CoRR abs/1912.08915 (2019) - 2017
- [j20]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): 1166-1192 (2017) - [j19]Johann Rudi, Georg Stadler, Omar Ghattas:
Weighted BFBT Preconditioner for Stokes Flow Problems with Highly Heterogeneous Viscosity. SIAM J. Sci. Comput. 39(5) (2017) - 2016
- [j18]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) - [c7]Omar Ghattas, Tobin Isaac, Noémi Petra, Georg Stadler:
Scalable Algorithms for Bayesian Inference of Large-Scale Models from Large-Scale Data. VECPAR 2016: 3-6 - [i2]Johann Rudi, Georg Stadler, Omar Ghattas:
Weighted BFBT Preconditioner for Stokes Flow Problems with Highly Heterogeneous Viscosity. CoRR abs/1607.03936 (2016) - 2015
- [j17]Georg Stadler, Andreas Steinboeck, Michael Baumgart, Andreas Kugi:
Modellierung des Umschlingungswinkels eines auf Rollen geführten Metallbandes. Autom. 63(8): 646-655 (2015) - [j16]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: 348-368 (2015) - [j15]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): 138-162 (2015) - [j14]Hari Sundar, Georg Stadler, George Biros:
Comparison of multigrid algorithms for high-order continuous finite element discretizations. Numer. Linear Algebra Appl. 22(4): 664-680 (2015) - [j13]Roland Herzog, Georg Stadler, Gerd Wachsmuth:
Erratum: Directional Sparsity In Optimal Control of Partial Differential Equations. SIAM J. Control. Optim. 53(4): 2722-2723 (2015) - [j12]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) - [c6]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: 5:1-5:12 - 2014
- [j11]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) - [j10]Alen Alexanderian, Noemi Petra, Georg Stadler, Omar Ghattas:
A-Optimal Design of Experiments for Infinite-Dimensional Bayesian Linear Inverse Problems with Regularized ℓ0-Sparsification. SIAM J. Sci. Comput. 36(5) (2014) - [i1]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 abs/1406.6573 (2014) - 2013
- [j9]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) - 2012
- [j8]Roland Herzog, Georg Stadler, Gerd Wachsmuth:
Directional Sparsity in Optimal Control of Partial Differential Equations. SIAM J. Control. Optim. 50(2): 943-963 (2012) - [c5]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: 3 - [c4]Hari Sundar, George Biros, Carsten Burstedde, Johann Rudi, Omar Ghattas, Georg Stadler:
Parallel geometric-algebraic multigrid on unstructured forests of octrees. SC 2012: 43 - 2011
- [j7]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): 333-355 (2011) - 2010
- [j6]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): 9373-9396 (2010) - [j5]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): 998-1011 (2010) - [c3]Carsten Burstedde, Omar Ghattas, Michael Gurnis, Tobin Isaac, Georg Stadler, Tim Warburton, Lucas C. Wilcox:
Extreme-Scale AMR. SC 2010: 1-12
2000 – 2009
- 2009
- [j4]Georg Stadler:
Elliptic optimal control problems with L1-control cost and applications for the placement of control devices. Comput. Optim. Appl. 44(2): 159-181 (2009) - 2008
- [j3]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): 572-596 (2008) - [c2]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: 62 - 2006
- [j2]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): 1-23 (2006) - 2004
- [j1]Georg Stadler:
Semismooth Newton and Augmented Lagrangian Methods for a Simplified Friction Problem. SIAM J. Optim. 15(1): 39-62 (2004) - 2003
- [c1]Maximilian Keisers, Lutz Niehüser, Georg Stadler:
Digitized Media: Effects on Economy and Society. Wirtschaftsinformatik (2) 2003: 581-600
Coauthor Index
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