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Course, academic year 2023/2024
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Non-Markov Queueing Theory - NMTP565
Title: Nemarkovská teorie hromadné obsluhy
Guaranteed by: Department of Probability and Mathematical Statistics (32-KPMS)
Faculty: Faculty of Mathematics and Physics
Actual: from 2022
Semester: winter
E-Credits: 5
Hours per week, examination: winter s.:2/2, C+Ex [HT]
Capacity: unlimited
Min. number of students: unlimited
4EU+: no
Virtual mobility / capacity: no
State of the course: not taught
Language: Czech
Teaching methods: full-time
Teaching methods: full-time
Guarantor: doc. RNDr. Daniel Hlubinka, Ph.D.
Class: M Mgr. PMSE
M Mgr. PMSE > Volitelné
Classification: Mathematics > Probability and Statistics
Is interchangeable with: NSTP169, NSTP133
Annotation -
Last update: T_KPMS (17.05.2013)
Markov systems of mass queuing. Non-Markovian systems. Theory of storage control.
Aim of the course -
Last update: T_KPMS (17.05.2013)

Introduction to elementary models and to elements of queueing networks.

Literature - Czech
Last update: T_KPMS (17.05.2013)

Asmussen, S.: Applied Probability and Queues. J. Wiley, Chichester, 1987.

Chen, H., Yao, D.: Fundamentals of Queuing Networks. Springer, New York, 2001.

Brémaud, P., Baccelli, F.: Elements of Queuing Theory. Springer, New York, 2003.

Teaching methods -
Last update: T_KPMS (16.05.2013)

Lecture +exercises.

Syllabus -
Last update: T_KPMS (17.05.2013)

Kendall clasification. Markov systems of mass queuing. Non-Markovian systems. Theory of storage control.

 
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