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Asymptotic expansions for stationary and quasi-stationary distributions of perturbed semi-Markov processes
Stockholm University, Stockholm,.
Mälardalen University, School of Education, Culture and Communication, Educational Sciences and Mathematics. (MAM)ORCID iD: 0000-0003-4554-6528
2017 (English)In: AIP Conference Proceedings, 2017, 020147Conference paper (Refereed)
Abstract [en]

New algorithms for computing asymptotic expansions, without and with explicit upper bounds for remainders, for stationary and quasi-stationary distributions of nonlinearly perturbed semi-Markov processes are presented. The algorithms are based on special techniques of sequential phase space reduction, which can be applied to models with an arbitrary asymptotic communicative structure of phase spaces. 

Place, publisher, year, edition, pages
2017. 020147
National Category
Mathematics
Identifiers
URN: urn:nbn:se:mdh:diva-35005DOI: 10.1063/1.4972739ScopusID: 2-s2.0-85013679775ISBN: 9780735414648 OAI: oai:DiVA.org:mdh-35005DiVA: diva2:1080154
Conference
11th International Conference on Mathematical Problems in Engineering, Aerospace and Sciences, ICNPAA 2016, 4 July 2016 through 8 July 2016
Available from: 2017-03-09 Created: 2017-03-09 Last updated: 2017-03-09Bibliographically approved

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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  • de-DE
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Output format
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