1 citations · 1 across the 2 of their papers we have counts for
3 papers
math.OC2022
Hesitant Adaptive Search with Estimation and Quantile Adaptive Search for Global Optimization with Noise
David D. Linz, Zelda B. Zabinsky
Adaptive random search approaches have been shown to be effective for global optimization problems, where under certain conditions, the expected performance time increases only lin…
math.OC2020
Optimal control of COVID-19 infection rate considering social costs
Aaron Z. Palmer, Zelda B. Zabinsky, Shan Liu
The COVID-19 pandemic has posed a policy making crisis where efforts to slow down or end the pandemic conflict with economic priorities. This paper provides mathematical analysis o…
cs.LG2017★ 1 cited
Near Optimal Hamiltonian-Control and Learning via Chattering
Peeyush Kumar, Wolf Kohn, Zelda B. Zabinsky
Many applications require solving non-linear control problems that are classically not well behaved. This paper develops a simple and efficient chattering algorithm that learns nea…