DC Field | Value | Language |
dc.contributor.author | Le Trung Kien | - |
dc.date.accessioned | 2020-06-26T00:21:14Z | - |
dc.date.available | 2020-06-26T00:21:14Z | - |
dc.date.issued | 2020 | - |
dc.identifier.uri | http://192.168.1.231:8080/dulieusoDIGITAL_123456789/6383 | - |
dc.description.abstract | The eíĩective application o f Markov chains has been paid much attention, and it has raised a lot of thcoreticaỉ and applied problems. In this paper, vve vvould like to approach One of these problems vvhich is íìnding the long-run behavior of extremely huge-state Markov chains according to the direction of investigating the structure of Markov Graphto reduce complexity of computation. We focus on the vvay to access to the íìnite-state Markov chain theory via Graph theory.We suggested some basic knovvledge about State classiíìcation and a small project of modelling the structure and the moving process of the /inite-stateA íarkov Chain modeỉ.This project based on the remark that il is impossible to study deeperly the finite-state Markov Chain theory if we do not have the clear sense about the structure and the movement of it | en_US |
dc.publisher | Đại học Quốc Gia Hà Nội | en_US |
dc.title | Deeper Inside Finite-state Markov chains | en_US |
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