2 citations · 3 across the 2 of their papers we have counts for
2 papers
math.OC2023★ 2 cited
A Stochastic Quasi-Newton Method in the Absence of Common Random Numbers
Matt Menickelly, Stefan M. Wild, Miaolan Xie
We present a quasi-Newton method for unconstrained stochastic optimization. Most existing literature on this topic assumes a setting of stochastic optimization in which a finite su…
nucl-th2014★ 1 cited
Quantification of Uncertainties in Nuclear Density Functional theory
N. Schunck, J. D. McDonnell, D. Higdon +2
Reliable predictions of nuclear properties are needed as much to answer fundamental science questions as in applications such as reactor physics or data evaluation. Nuclear density…