… types of optimization problems for continuous and discrete variable optimization, particularly
… We also review their extensions to dynamic optimization and optimization under uncertainty. …

… 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, …

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 …

… optimization problems are random-search based algorithms. We present a retrospective
optimization (RO) algorithm that uses Hooke-Jeeves search for well location optimization under …

… retrospective optimization 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 …

… 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. …