EXACT SOLUTIONS TO FINITE STATE SIMULATION MODELS

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dc.contributor.authorTofts, C.eng
dc.date.accessioned2008-05-20T23:31:21Z
dc.date.available2008-05-20T23:31:21Z
dc.date.computerscience1999-05-27eng
dc.date.issued1993-12-01eng
dc.description.abstractMany Monte Carlo simulation problems are essentially finite state. We demonstrate how such problems may be represented within a probabilistic process algebra. We demonstrate how it is possible to convert such processes into linear probabilistic equations, and solve such equations exactly with available computer algebra systems.eng
dc.description.notesWe are currently acquiring citations for the work deposited into this collection. We recognize the distribution rights of this item may have been assigned to another entity, other than the author(s) of the work.If you can provide the citation for this work or you think you own the distribution rights to this work please contact the Institutional Repository Administrator at digitize@ucalgary.caeng
dc.identifier.department1993-530-35eng
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/31310
dc.identifier.urihttp://hdl.handle.net/1880/46553
dc.language.isoEngeng
dc.publisher.corporateUniversity of Calgaryeng
dc.publisher.facultyScienceeng
dc.subjectComputer Scienceeng
dc.titleEXACT SOLUTIONS TO FINITE STATE SIMULATION MODELSeng
dc.typeunknown
thesis.degree.disciplineComputer Scienceeng
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