On a probability problem connected with railway traffic.
On a queue with correlated arrivals.
On a Second-Order Step-Size Algorithm
On a single-server queue with fixed accumulation level, state dependent service, and semi-Markov modulated input flow.
On a stochastic inventory model with deteriorating items.
On a Stopping Rule for a Class of Sequential Decision Problems.
On a variational approach to optimization of hybrid mechanical systems.
On a Volume Flexible Production Policy in a Family Production Context
On adaptive control of Markov processes
On adaptive control of mobile slotted ALOHA networks.
On adaptive replacement policies
On an asymptotic distribution connected with a loss queueing system
On an evaluation function for heuristic search as a path problem
On an iterative method for unconstrained optimization
We present a local and a semi-local convergence analysis of an iterative method for approximating zeros of derivatives for solving univariate and unconstrained optimization problems. In the local case, the radius of convergence is obtained, whereas in the semi-local case, sufficient convergence criteria are presented. Numerical examples are also provided.
On an queueing system.
On approximation in multistage stochastic programs: Markov dependence
A general multistage stochastic programming problem can be introduced as a finite system of parametric (one-stage) optimization problems with an inner type of dependence. Evidently, this type of the problems is rather complicated and, consequently, it can be mostly solved only approximately. The aim of the paper is to suggest some approximation solution schemes. To this end a restriction to the Markov type of dependence is supposed.
On approximation of multifunctions with respect to the Vietoris topology
On Bilevel Variational Inequalities Arising in the Analysis of Improper Optimization Problems
On blockers in bounded posets.
On certain classes of variational inequalities and related iterative algorithms.