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Numerical Solution of Markov Reward Models Using Laguerre Functions
| Content Provider | Scilit |
|---|---|
| Author | Islam, S. M. R. Ammar, H. H. |
| Copyright Year | 2021 |
| Description | Performability analysis is an important and growing research area. One of the bases of performability analysis is the Markov reward model. This chapter presents a new algorithm to compute the moments and distribution of performability of repairable systems that can be described by cyclic Markov reward models. It also discusses the aspects of the numerical computations involved such as error estimation and series convergence. The algorithm presented computes both performability distribution and its higher moments. The algorithm requires only one matrix inversion and lots of matrix multiplication and additions, and is therefore conceptually simpler and easy to automate. However, the algorithm requires more storage than the other algorithm. Book Name: Numerical Solution of Markov Chains |
| Related Links | https://api.taylorfrancis.com/content/chapters/edit/download?identifierName=doi&identifierValue=10.1201/9781003210160-34&type=chapterpdf |
| Ending Page | 648 |
| Page Count | 4 |
| Starting Page | 645 |
| DOI | 10.1201/9781003210160-34 |
| Language | English |
| Publisher | Informa UK Limited |
| Publisher Date | 2021-06-16 |
| Access Restriction | Open |
| Subject Keyword | Book Name: Numerical Solution of Markov Chains Transportation Science and Technology Matrix Markov Reward Models Functions Numerical Algorithm |
| Content Type | Text |
| Resource Type | Chapter |
