activity
20132026
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 · 211 across the 10 of their papers we have counts for

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Showing 2023Show all

2 papers · 1 filter

math.NA2023

Point spread function approximation of high rank Hessians with locally supported non-negative integral kernels

Nick Alger, Tucker Hartland, Noemi Petra +1

We present an efficient matrix-free point spread function (PSF) method for approximating operators that have locally supported non-negative integral kernels. The method computes im…

math.NA2023★ 6 cited

Hierarchical off-diagonal low-rank approximation of Hessians in inverse problems, with application to ice sheet model initializaiton

Tucker Hartland, Georg Stadler, Mauro Perego +2

Obtaining lightweight and accurate approximations of Hessian applies in inverse problems governed by partial differential equations (PDEs) is an essential task to make both determi…