We study the impact of foresight in a transboundary pollution game; i.e. the ability of a country to control its emissions taking into account the relationship between current emissions and future levels of pollution and thus on future damages. We show that when all countries are myopic, i.e., choose the ’laisser-faire’ policy, their payoffs are smaller than when all countries are farsighted, i...

Automatic multiple object tracking with a single pan–tilt–zoom (PTZ) cameras is a hard task, with few approaches in the literature, most of them proposing simplistic scenarios. In this paper, we present a novel PTZ camera management framework in which at each time step, the next camera pose (pan, tilt, focal length) is chosen to support multiple object tracking. The policy can be myopic or non-...

A new bound is proposed relating the average cost sub-optimality of a myopic policy to its differential cost error. The bound is an expectation over the stationary distribution for this policy. For small queueing networks, we compute or approximate the distribution using the matrix analytic method and numerically test the bound. Product form approximations to the stationary distribution are als...

We investigate control of a queueing system in which a component of the state space is subject to aging. The controller can choose to forward incoming queries to the system (where it needs time for processing), or respond with a previously generated response (incurring a penalty for not providing a fresh value). Hence, the controller faces a trade-off between data freshness and response times. ...

purpose: to report the refractive changes after intraocular lens (iol) implantation in children with congenital and developmental cataract. methods: in this historical cohort study, the clinical records of children between 2 and 15 years old that had lensectomy with posterior capsulotomy, anterior vitrectomy and iol implantation with more than 5 years of follow-up were studied. refractive error...

W consider a two-echelon inventory system with a capacitated centralized production facility and several distribution centers (DCs). Both production and transportation times are stochastic with general distributions. Demand arrives at each DC according to an independent Poisson process and is backlogged if the DC is out of stock. We allow different holding and backlog costs at the different DCs...

There has recently been considerable interest in design of low-complexity, myopic, distributed and stable scheduling policies for constrained queueing network models that arise in the context of emerging communication networks. Here, we consider two representative models. One, a model for the collection of wireless nodes communicating through a shared medium, that represents randomly varying nu...

Recently Levi, Pál, Roundy and Shmoys introduced a novel, Dual-Balancing policy for the classical singleitem, single-location inventory model with backlogged demands and dynamic forecasts of future demands that evolve as time advances. These models are usually computationally intractable due to the enormous size of the state space. The expected cost of the dual-balancing policy is guaranteed to...

We consider the pricing problem faced by a monopolist who sells a product to a population of consumers over a finite time horizon. Customers are heterogeneous along two dimensions: (i) willingness-to-pay for the product and (ii) arrival time during the selling season. We assume that the seller knows only the support of the customers’ valuations and do not make any other distributional assumptio...