Stochastic Computational Methods

Stochastic Computational Methods
342-0963/01
čeština Stochastic Computational Methods
342-0963/02
angličtina

Anotace

The course is devoted to methods of modeling and simulation of queueing systems. The student is acquainted with the methods used for modeling of mass control systems in time (so called transition analysis) and in steady state. Within the subject are discussed the models of individual mass control systems differing in assumptions, from the elementary Markov models to models requiring a more demanding mathematical apparatus. For simulation of mass control systems, the Petri color network is used.

Povinná literatura

BOLCH, Gunter. Queueing networks and Markov chains: modeling and performance evaluation with computer science applications. 2nd ed. Hoboken: Wiley, c2006. ISBN 0-471-56525-3.
ORTUZAR, Juan de Dios; WILLUMSEN, Luis G. Modelling transport. 2002.

Doporučená literatura

HENSHER, David A.; BUTTON, Kenneth J. (ed.). Handbook of transport modelling. Emerald Group Publishing Limited, 2007.
HILLIER, Frederick S. a LIEBERMAN, Gerald J. Introduction to operations research [CD-ROM]. 8th ed. Burr Ridge: McGraw-Hill Higher Education, c2005. ISBN 0-07-321114-1.
Introduction to logistics systems planning and control [online]. Hoboken: Wiley, 2005 [cit. 2018-01-10]. .
ZEIGLER, Bernard P., PRAEHOFER, Herbert a KIM, Tag Gon. Theory of modeling and simulation: integrating discrete event and continuous complex dynamic systems. 2nd ed. San Diego: Academic Press, c2000. ISBN 0-12-778455-1.
SOKOLOWSKI, John A. a BANKS, Catherine M., ed. Principles of modeling and simulation: a multidisciplinary approach [online]. Hoboken: John Wiley & Sons, 2008 [cit. 2018-01-10]. ISBN 978-0-470-40356-3.

zpět na vyhledávání

Language of instruction	čeština, angličtina
Code	342-0963
Abbreviation	SVM
Course title	Stochastic Computational Methods
Coordinating department	Institute of Transport
Course coordinator	doc. Ing. Michal Dorda, Ph.D.