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Markov models of macrosystems

Gasnikov, Alexander...

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Markov models of macrosystems by Gasnikov, Alexander ( Author )

Content Provider	Lemonjar Open Access
Publisher	Australian National University
Publication Date	06-09-2023
Summary	We collect different examples reflect Bolzman--Jaynes theory of maximum entropy principle. This principle proposed that equillibrium of macrosystem (most probable macrostate of the invariant measure of macrosystem) can be find as a solution of the entropy linear programming problem. Among this examples one can find applications to the economics, sociology, linguistics, traffic flow theory, biology e.t.c. We also describe on examples the connection between Nash's equillibrium, Darwin's principle of natural selection and conception of equillibrium of macrosystem.
ISBN	-
Item Type	Article
File Type	pdf
File Size	29.34 KB
Language	English
Subjects	-
Unlimited	MYR 0.01
Total read	-
URL	http://arxiv.org/abs/1412.2720

Citation

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AMA 11th EditionReferences

Gasnikov, Alexander. Markov models of macrosystems. Australian National University. September 06, 2023. Accessed November 06, 2024. https://online.provdatabase.com/cite/24025

APA 7th EditionReferences

Gasnikov, Alexander. (2023). Markov models of macrosystems. Australian National University. https://online.provdatabase.com/cite/24025

Chicago 17th EditionReferences

Gasnikov, Alexander. Markov models of macrosystems. Australian National University. 2023. https://online.provdatabase.com/cite/24025

HarvardReferences

Gasnikov, Alexander. (2023). Markov models of macrosystems. [Online]. Australian National University. Available from: https://online.provdatabase.com/cite/24025. (Accessed 06 November 2024).

Harvard AustraliaReferences

Gasnikov, Alexander, 2023, Markov models of macrosystems, Australian National University, viewed 06 November 2024, <https://online.provdatabase.com/cite/24025>

MLA 9th EditionWorks Cited

Gasnikov, Alexander. Markov models of macrosystems. Australian National University, 2023. PROV Database, https://online.provdatabase.com/cite/24025.

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