Georg Stadler
Orcid: 0000-0001-7762-6544
According to our database1,
Georg Stadler
authored at least 48 papers
between 2003 and 2023.
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Bibliography
2023
Scalable methods for computing sharp extreme event probabilities in infinite-dimensional stochastic systems.
Stat. Comput., December, 2023
Large Deviation Theory-based Adaptive Importance Sampling for Rare Events in High Dimensions.
SIAM/ASA J. Uncertain. Quantification, September, 2023
Robust Multigrid Techniques for Augmented Lagrangian Preconditioning of Incompressible Stokes Equations with Extreme Viscosity Variations.
SIAM J. Sci. Comput., June, 2023
Robust and efficient primal-dual Newton-Krylov solvers for viscous-plastic sea-ice models.
J. Comput. Phys., February, 2023
Sensitivity Analysis of the Information Gain in Infinite-Dimensional Bayesian Linear Inverse Problems.
CoRR, 2023
Hierarchical off-diagonal low-rank approximation of Hessians in inverse problems, with application to ice sheet model initializaiton.
CoRR, 2023
2022
What counts as a weak tie? A comparison of filtering techniques to analyze co-exposure networks.
Soc. Networks, 2022
Single-stage gradient-based stellarator coil design: Optimization for near-axis quasi-symmetry.
J. Comput. Phys., 2022
A gradient-free subspace-adjusting ensemble sampler for infinite-dimensional Bayesian inverse problems.
CoRR, 2022
2021
Stochastic Iterative Learning Control for Lumped- and Distributed-Parameter Systems: A Wiener-Filtering Approach.
IEEE Trans. Autom. Control., 2021
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, 2021
CoRR, 2021
2020
Hierarchical Matrix Approximations of Hessians Arising in Inverse Problems Governed by PDEs.
SIAM J. Sci. Comput., 2020
Extreme event probability estimation using PDE-constrained optimization and large deviation theory, with application to tsunamis.
CoRR, 2020
Advanced Newton Methods for Geodynamical Models of Stokes Flow with Viscoplastic Rheologies.
CoRR, 2020
Hierarchical Matrix Approximations of Hessians Arising in Inverse Problems Governed by PDEs.
CoRR, 2020
2019
Sparse Solutions in Optimal Control of PDEs with Uncertain Parameters: The Linear Case.
SIAM J. Control. Optim., 2019
Optimal experimental design under irreducible uncertainty for inverse problems governed by PDEs.
CoRR, 2019
Scalable simulation of realistic volume fraction red blood cell flows through vascular networks.
Proceedings of the International Conference for High Performance Computing, 2019
2017
Weighted BFBT Preconditioner for Stokes Flow Problems with Highly Heterogeneous Viscosity.
SIAM J. Sci. Comput., 2017
Mean-Variance Risk-Averse Optimal Control of Systems Governed by PDEs with Random Parameter Fields Using Quadratic Approximations.
SIAM/ASA J. Uncertain. Quantification, 2017
2016
A Fast and Scalable Method for A-Optimal Design of Experiments for Infinite-dimensional Bayesian Nonlinear Inverse Problems.
SIAM J. Sci. Comput., 2016
Scalable Algorithms for Bayesian Inference of Large-Scale Models from Large-Scale Data.
Proceedings of the High Performance Computing for Computational Science - VECPAR 2016, 2016
2015
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., 2015
SIAM J. Control. Optim., 2015
Comparison of multigrid algorithms for high-order continuous finite element discretizations.
Numer. Linear Algebra Appl., 2015
Discretely Exact Derivatives for Hyperbolic PDE-Constrained Optimization Problems Discretized by the Discontinuous Galerkin Method.
J. Sci. Comput., 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.
J. Comput. Phys., 2015
Autom., 2015
An extreme-scale implicit solver for complex PDEs: highly heterogeneous flow in earth's mantle.
Proceedings of the International Conference for High Performance Computing, 2015
2014
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., 2014
A-Optimal Design of Experiments for Infinite-Dimensional Bayesian Linear Inverse Problems with Regularized ℓ<sub>0</sub>-Sparsification.
SIAM J. Sci. Comput., 2014
2013
A Computational Framework for Infinite-Dimensional Bayesian Inverse Problems Part I: The Linearized Case, with Application to Global Seismic Inversion.
SIAM J. Sci. Comput., 2013
2012
SIAM J. Control. Optim., 2012
Proceedings of the SC Conference on High Performance Computing Networking, 2012
Proceedings of the SC Conference on High Performance Computing Networking, 2012
2011
SIAM J. Appl. Math., 2011
2010
IEEE Trans. Medical Imaging, 2010
A high-order discontinuous Galerkin method for wave propagation through coupled elastic-acoustic media.
J. Comput. Phys., 2010
Proceedings of the Conference on High Performance Computing Networking, 2010
2009
Elliptic optimal control problems with <i>L</i><sup>1</sup>-control cost and applications for the placement of control devices.
Comput. Optim. Appl., 2009
2008
A Primal-Dual Active Set Algorithm for Three-Dimensional Contact Problems with Coulomb Friction.
SIAM J. Sci. Comput., 2008
Proceedings of the ACM/IEEE Conference on High Performance Computing, 2008
2006
An Infeasible Primal-Dual Algorithm for Total Bounded Variation-Based Inf-Convolution-Type Image Restoration.
SIAM J. Sci. Comput., 2006
2004
Semismooth Newton and Augmented Lagrangian Methods for a Simplified Friction Problem.
SIAM J. Optim., 2004
2003
Proceedings of the Wirtschaftsinformatik 2003, Medien - Märkte - Mobilität, Band II, 2003