JA Filar - Foundations and Trends® in Stochastic Systems, 2007 - nowpublishers.com
This manuscript summarizes a line of research that maps certain classical problems of discrete mathematics—such as the Hamiltonian Cycle and the Traveling Salesman …
In this paper, we present some algebraic properties of a particular class of probability transition matrices, namely, Hamiltonian transition matrices. Each matrix PP in this class …
JA Filar, D Krass - Mathematics of Operations Research, 1994 - pubsonline.informs.org
In this paper we derive new characterizations of the Hamiltonian cycles of a directed graph, and a new LP-relaxation of the Traveling Salesman Problem. Our results are obtained via an …
We consider the Hamiltonian cycle problem on a given graph G. With such a graph we can associate a family F of probability transition matrices of Markov chains whose entries …
Given a directed graph and a given starting node, the Hamiltonian Cycle Problem (HCP) is to find a path that visits every other node exactly once before returning to the starting node …
V Ejov, JA Filar, MT Nguyen - Mathematics of Operations …, 2004 - pubsonline.informs.org
We consider the Hamiltonian cycle problem embedded in a singularly perturbed Markov decision process. We also consider a functional on the space of deterministic policies of the …
S Biswas - arXiv preprint arXiv:2204.00784, 2022 - arxiv.org
This paper is a survey of various proofs of the so called {\em fundamental theorem of Markov chains}: every ergodic Markov chain has a unique positive stationary distribution and the …
N Litvak, V Ejov - Mathematics of Operations Research, 2009 - pubsonline.informs.org
We consider the Hamiltonian cycle problem (HCP) embedded in a controlled Markov decision process. In this setting, HCP reduces to an optimization problem on a set of Markov …
V Ejov, JA Filar, J Thredgold - Optimization, 2003 - Taylor & Francis
We consider the Hamiltonian cycle problem (HCP) embedded in a singularly perturbed Markov decision process (MDP). More specifically, we consider the HCP as an optimization …