A very known notion of regeneration means that the "future" of a stochastic process became independent from its "past" in some random times, which is usually times of some state (regeneration state) destination. Presence of regeneration times allows to represent appropriate process as independent functional elements, regeneration cycles, investigate its characteristics in terms of them at separate regeneration cycles and proof some asimptotic theorem about this type of processes. If there are several such regeneration states this notion is generalised up to notion of semi- regeneration. In this case the process could be represented as a Markov chain of its cycles. Next step of generalization consists in discovering of some embedded regeneration times that allows to construct some hierarchical structure for the processes, possessing this property. This processes are named as decomposable semi-regenerative processes. The methods of these processes applied then for the investigation of several models: M/GI/1 queueing system, M_r/GI_r/1 priority queueing system, GI/GI/1 queueing system, polling system and reliability of complex hierarchical system.
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Vladimir Rykov, BS+MS, PhD and DSci on Probab. Theory and Math. Stat. from Moscow State University. Prof of Appl. Math & Computer Modeling Dept., Gubkin Russian State Oil&Gas University. Main interests are: controllable queueing systems and reliability theory. He is author of 17 books, handbooks, reviews, text books and more than 200 publications.
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -A very known notion of regeneration means that the 'future' of a stochastic process became independent from its 'past' in some random times, which is usually times of some state (regeneration state) destination. Presence of regeneration times allows to represent appropriate process as independent functional elements, regeneration cycles, investigate its characteristics in terms of them at separate regeneration cycles and proof some asimptotic theorem about this type of processes. If there are several such regeneration states this notion is generalised up to notion of semi- regeneration. In this case the process could be represented as a Markov chain of its cycles. Next step of generalization consists in discovering of some embedded regeneration times that allows to construct some hierarchical structure for the processes, possessing this property. This processes are named as decomposable semi-regenerative processes. The methods of these processes applied then for the investigation of several models: M/GI/1 queueing system, M_r/GI_r/1 priority queueing system, GI/GI/1 queueing system, polling system and reliability of complex hierarchical system. 84 pp. Englisch. Seller Inventory # 9783843391429
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - A very known notion of regeneration means that the 'future' of a stochastic process became independent from its 'past' in some random times, which is usually times of some state (regeneration state) destination. Presence of regeneration times allows to represent appropriate process as independent functional elements, regeneration cycles, investigate its characteristics in terms of them at separate regeneration cycles and proof some asimptotic theorem about this type of processes. If there are several such regeneration states this notion is generalised up to notion of semi- regeneration. In this case the process could be represented as a Markov chain of its cycles. Next step of generalization consists in discovering of some embedded regeneration times that allows to construct some hierarchical structure for the processes, possessing this property. This processes are named as decomposable semi-regenerative processes. The methods of these processes applied then for the investigation of several models: M/GI/1 queueing system, M_r/GI_r/1 priority queueing system, GI/GI/1 queueing system, polling system and reliability of complex hierarchical system. Seller Inventory # 9783843391429
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Rykov VladimirVladimir Rykov, BS+MS, PhD and DSci on Probab. Theory and Math. Stat. from Moscow State University. Prof of Appl. Math & Computer Modeling Dept., Gubkin Russian State Oil&Gas University. Main interests are: controllable. Seller Inventory # 5468964
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -A very known notion of regeneration means that the 'future' of a stochastic process became independent from its 'past' in some random times, which is usually times of some state (regeneration state) destination. Presence of regeneration times allows to represent appropriate process as independent functional elements, regeneration cycles, investigate its characteristics in terms of them at separate regeneration cycles and proof some asimptotic theorem about this type of processes. If there are several such regeneration states this notion is generalised up to notion of semi- regeneration. In this case the process could be represented as a Markov chain of its cycles. Next step of generalization consists in discovering of some embedded regeneration times that allows to construct some hierarchical structure for the processes, possessing this property. This processes are named as decomposable semi-regenerative processes. The methods of these processes applied then for the investigation of several models: M/GI/1 queueing system, M_r/GI_r/1 priority queueing system, GI/GI/1 queueing system, polling system and reliability of complex hierarchical system.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 84 pp. Englisch. Seller Inventory # 9783843391429
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Taschenbuch. Condition: Neu. DECOMPOSABLE SEMI-REGENERATIVE PROCESSES | AND THEIR APPLICATIONS | Vladimir Rykov | Taschenbuch | 84 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783843391429 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Seller Inventory # 107107173
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