{"title":"一类二维马尔可夫模型的解","authors":"G. Fayolle, P. King, I. Mitrani","doi":"10.1145/800199.806175","DOIUrl":null,"url":null,"abstract":"A class of two-dimensional Birth-and-Death processes, with applications in many modelling problems, is defined and analysed in the steady-state. These are processes whose instantaneous transition rates are state-dependent in a restricted way. Generating functions for the steady-state distribution are obtained by solving a functional equation in two variables. That solution method lends itself readily to numerical implementation. Some aspects of the numerical solution are discussed, using a particular model as an example.","PeriodicalId":32394,"journal":{"name":"Performance","volume":"19 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"1980-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"67","resultStr":"{\"title\":\"The solution of certain two-dimensional markov models\",\"authors\":\"G. Fayolle, P. King, I. Mitrani\",\"doi\":\"10.1145/800199.806175\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A class of two-dimensional Birth-and-Death processes, with applications in many modelling problems, is defined and analysed in the steady-state. These are processes whose instantaneous transition rates are state-dependent in a restricted way. Generating functions for the steady-state distribution are obtained by solving a functional equation in two variables. That solution method lends itself readily to numerical implementation. Some aspects of the numerical solution are discussed, using a particular model as an example.\",\"PeriodicalId\":32394,\"journal\":{\"name\":\"Performance\",\"volume\":\"19 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1980-05-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"67\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Performance\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/800199.806175\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Performance","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/800199.806175","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The solution of certain two-dimensional markov models
A class of two-dimensional Birth-and-Death processes, with applications in many modelling problems, is defined and analysed in the steady-state. These are processes whose instantaneous transition rates are state-dependent in a restricted way. Generating functions for the steady-state distribution are obtained by solving a functional equation in two variables. That solution method lends itself readily to numerical implementation. Some aspects of the numerical solution are discussed, using a particular model as an example.