DOMINANCE THEOREMS AND ERGODIC PROPERTIES OF POLLING SYSTEMS1 S. G. Foss and N. I. Chernova We consider a class of polling systems with stationary ergodic input flow such that the control in a system obeys a certain rege

First Page		Document Content
Date: 2005-09-16 03:23:50 Calculus Continuous function Markov chain Ergodic theory Mathematics Control theory Itō diffusion Μ operator Mathematical analysis Markov models Stochastic differential equations		DOMINANCE THEOREMS AND ERGODIC PROPERTIES OF POLLING SYSTEMS1 S. G. Foss and N. I. Chernova We consider a class of polling systems with stationary ergodic input flow such that the control in a system obeys a certain rege Add to Reading List Source URL: math.nsc.ru Download Document from Source Website File Size: 261,41 KB Share Document on Facebook

	Random attractors for a class of stochastic partial differential equations driven by general additive noise Benjamin Gess University of Bielefeld joint work with: DocID: 1uIRG - View Document
	Stochastic Partial Differential Equations Lectures given in Fudan University, Shangha¨ı, April 2007 ´ Pardoux E. Marseille, France DocID: 1t1T7 - View Document
	STOCHASTIC INTEGRATION AND STOCHASTIC PARTIAL DIFFERENTIAL EQUATIONS: A TUTORIAL A VIGRE MINICOURSE ON STOCHASTIC PARTIAL DIFFERENTIAL EQUATIONS DocID: 1t1A0 - View Document
	STOCHASTIC PARTIAL DIFFERENTIAL EQUATIONS MSRI Summer Graduate School July 7–18, A. A. Borovkov, Ergodicity and stability of stochastic processes, Wiley, Chichester, 1998, ISBNMRZbl 0 DocID: 1sRlG - View Document
	July 25-August 5, 2016 Philadelphia, Pennsylvania USA Stochastic Differential Equations and Wave Propagation DocID: 1sQ6c - View Document