14 citations · 19 across the 7 of their papers we have counts for
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math.OC2024★ 2 cited
A global optimum-informed greedy algorithm for A-optimal experimental design
Christian Aarset
Optimal experimental design (OED) concerns itself with identifying ideal methods of data collection, e.g.~via sensor placement. The \emph{greedy algorithm}, that is, placing one se…
math.NA2024
Bi-level regularization via iterative mesh refinement for aeroacoustics
Christian Aarset, Tram Thi Ngoc Nguyen
In this work, we illustrate the connection between adaptive mesh refinement for finite element discretized PDEs and the recently developed \emph{bi-level regularization algorithm}.…
math.OC2024★ 3 cited
Global optimality conditions for sensor placement, with extensions to binary low-rank A-optimal designs
Christian Aarset
The \emph{sensor placement problem} for stochastic linear inverse problems consists of determining the optimal manner in which sensors can be employed to collect data. Specifically…