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math.OC2026
Optimal experimental design for passive imaging source problems
Christian Aarset, Thorsten Hohage, Georg Stadler
This work focuses on optimal experimental design (OED) methods for passive imaging. We adopt a Bayesian inverse problem framework for passive imaging source problems, primarily foc…
math.OC2026
Infinite-dimensional spherical-radial decomposition for probabilistic functions, with application to constrained optimal control and Gaussian process regression
Kewei Wang, Georg Stadler
The spherical-radial decomposition (SRD) is an efficient method for estimating probabilistic functions and their gradients defined over finite-dimensional elliptical distributions.…