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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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math.OC2024

A Scalable Interior-Point Gauss-Newton Method for PDE-Constrained Optimization with Bound Constraints

Tucker Hartland, Cosmin G. Petra, Noemi Petra +1

We present a scalable approach to solve a class of elliptic partial differential equation (PDE)-constrained optimization problems with bound constraints. This approach utilizes a r…