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Self-Learning Control of Finite Markov Chains de A.S. Poznyak

Self-Learning Control of Finite Markov Chains

Autor A.S. Poznyak, Kaddour Najim, E. Gomez-Ramirez
en Limba Engleză Paperback – 10 oct 2019
Presents a number of new and potentially useful self-learning (adaptive) control algorithms and theoretical as well as practical results for both unconstrained and constrained finite Markov chains-efficiently processing new information by adjusting the control strategies directly or indirectly.
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Specificații

ISBN-13: 9780367398996
ISBN-10: 0367398990
Pagini: 314
Dimensiuni: 174 x 246 mm
Greutate: 0.59 kg
Ediția:1
Editura: CRC Press
Colecția CRC Press

Public țintă

Professional Practice & Development

Cuprins

Controlled Markov chains. Unconstrained Markov chains: Lagrange multipliers approach; penalty function approach; projection gradient method. Constrained Markov chains: Lagrange multipliers approach; penalty function approach; nonregular Markov chains; practical aspects.

Notă biografică

Poznyak, A.S.; Najim, Kaddour; Gomez-Ramirez, E.

Descriere

Presents a number of new and potentially useful self-learning (adaptive) control algorithms and theoretical as well as practical results for both unconstrained and constrained finite Markov chains-efficiently processing new information by adjusting the control strategies directly or indirectly.