1 citations · 1 across the 2 of their papers we have counts for
2 papers
math.NA2026
Multifidelity sensor placement in Bayesian state estimation problems
Gabriela Ramon, Geena Sarnoski, Vasishta Tumuluri +2
We study optimal sensor placement for Bayesian state estimation problems in which sensors vary in cost and fidelity, resulting in a budget-constrained multifidelity optimal experim…
math.OC2025★ 1 cited
Rockafellian Relaxation for PDE-Constrained Optimization with Distributional Uncertainty
Harbir Antil, Sean P. Carney, Hugo DÃaz +1
Stochastic optimization problems are generally known to be ill-conditioned to the form of the underlying uncertainty. A framework is introduced for optimal control problems with pa…