activity
20022023
most citedScalable 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

171 citations · 689 across the 32 of their papers we have counts for

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Showing 2014Show all

4 papers · 1 filter

math.OC2014

A Fast and Scalable Method for A-Optimal Design of Experiments for Infinite-dimensional Bayesian Nonlinear Inverse Problems

Alen Alexanderian, Noemi Petra, Georg Stadler +1

We address the problem of optimal experimental design (OED) for Bayesian nonlinear inverse problems governed by PDEs. The goal is to find a placement of sensors, at which experimen…

math.OC2014★ 171 cited

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 +1

The majority of research on efficient and scalable algorithms in computational science and engineering has focused on the forward problem: given parameter inputs, solve the governi…

math.NA2014★ 55 cited

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

Motivated by the need for efficient and accurate simulation of the dynamics of the polar ice sheets, we design high-order finite element discretizations and scalable solvers for th…

math.NA2014★ 1 cited

Comparison of Multigrid Algorithms for High-order Continuous Finite Element Discretizations

Hari Sundar, Georg Stadler, George Biros

We present a comparison of different multigrid approaches for the solution of systems arising from high-order continuous finite element discretizations of elliptic partial differen…