Representation and simulating of extended Markov chains over a finite field with a predefined precision
Creators
- 1. Kazan National Research Technical University name after A.N. Tupolev, Karl Marks str., 10, Kazan, 420111 (Russian Federation)
Description
A method is proposed for representing and simulating the extended Markov chains of a defined type by minimal polynomials over finite field GF(q). Simulation problem is being solved as a problem of constructing the minimal polynomial over field GF(q) using the Berlekamp-Massey algorithm. The polynomial produces a sequence of the length of N. A stochastic matrix relevant to that sequence approximates the given stochastic matrix of an extended Markov chain with a predefined precision proportional to the 1/N value. The polynomial constructed defines unambiguously the structure of a q-ary linear shift register for simulating extended Markov chains. The method allows constructing the implementations of this class of Markov sequences on linear q-ary shift registers with a pre-defined "linear complexity" defined by the value of N. (paper)
Availability note (English)
Available from http://dx.doi.org/10.1088/1742-6596/1368/4/042028Additional details
Identifiers
Publishing Information
- Journal Title
- Journal of Physics. Conference Series (Online)
- Journal Volume
- 1368
- Journal Issue
- 4
- Journal Page Range
- [8 p.]
- ISSN
- 1742-6596
Conference
- Title
- 5. International Conference on Information Technology and Nanotechnology
- Acronym
- ITNT-2019
- Dates
- 21-24 May 2019
- Place
- Samara (Russian Federation)
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 53060412
- Subject category
- S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
- Resource subtype / Literary indicator
- Conference
- Descriptors DEI
- ACCURACY; ALGORITHMS; COMPUTERIZED SIMULATION; IMPLEMENTATION; MARKOV PROCESS; MATRICES; POLYNOMIALS
- Descriptors DEC
- FUNCTIONS; MATHEMATICAL LOGIC; SIMULATION; STOCHASTIC PROCESSES