Article Per Year (5 Year)
p-Index From 2019 - 2024
0
P-Index
This Author published in this journals
All Journal Jurnal Sains Dasar
Rahayu Budhiyati
Unknown Affiliation
Education

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Application of matrix diagonalization on Markov chain Bidayatul hidayah; Rahayu Budhiyati; Putriaji Hendikawati
Jurnal Sains Dasar Vol 3, No 1 (2014): April 2014
Publisher : Faculty of Mathematics and Natural Science, Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (78.36 KB) | DOI: 10.21831/jsd.v3i1.2781

Abstract

Markov chain is a series of events in which the conditional probability upcoming events only depend on the current events and do not depend on the previous occurrence. Transition probabilities at the steady state level (steady state probability) is a transition probability that has reached equilibrium, so that it will not change with time or phase changes that occur. This paper determines the eigenvalue states ​​and diagonalization to determine the steady state. The solution is obtained by peeling definitions and theorems. Key words: matrix, matrix diagonalization, Markov chain
Co-Authors Bidayatul hidayah Putriaji Hendikawati