… retrospective cost optimization approach used in [24]. This extension is based on a retrospective … the closed-form solution to a quadratic optimization problem. No offline calculations are …
… would entail the simulation of all realizations at each iteration of the optimization … —retrospective optimization (RO)—to address this problem. RO solves a sequence of optimization …
… In our study, we retrospectively investigated whether the dose optimization of IFX in UC, by doubling the dose to 10 mg/kg every 8 weeks or shortening the dose interval to 4–6 weeks, …
R Pasupathy - Operations Research, 2010 - pubsonline.informs.org
The stochastic root-finding problem is that of finding a zero of a vector-valued function known only through a stochastic simulation. The simulation-optimization problem is that of locating …
… the retrospective optimization problem of Section 2.2 as applied to functional insulin therapy in T1D, where the risk function r used in the optimization … Retrospective Profile Optimization …
H Wang, DE Ciaurri, LJ Durlofsky - Proceedings of the 2010 …, 2010 - ieeexplore.ieee.org
… optimization problems are random-search based algorithms. We present a retrospective optimization (RO) algorithm that uses Hooke-Jeeves search for well location optimization under …
… retrospectiveoptimization procedure to address this problem. In this approach, a sequence of optimization … The solution obtained at each optimization subproblem is used as the initial …
… In this paper we show how retrospective cost adaptive control provides the foundation for … of retrospective cost state estimation, retrospective cost input estimation, and retrospective cost …
J Vorwerk, AA Brock, DN Anderson… - Journal of neural …, 2019 - iopscience.iop.org
… We performed a retrospective analysis of an optimization algorithm for the computation of … DBS configurations and motivate a further evaluation of the applied optimization algorithm. …