Self-Learning Control of Finite Markov Chains
1st Edition
Published on 10. October 2019
Book
Paperback/Softback
314 pages
978-0-367-39899-6 (ISBN)
Description
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.
More details
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
Professional and scholarly
Professional Practice & Development
Dimensions
Height: 246 mm
Width: 174 mm
Weight
453 gr
ISBN-13
978-0-367-39899-6 (9780367398996)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
A.S. Poznyak | Kaddour Najim | E. Gomez-Ramirez
Self-Learning Control of Finite Markov Chains
E-Book
10/2018
1st Edition
CRC Press
€92.49
Available for download
A.S. Poznyak | Kaddour Najim | E. Gomez-Ramirez
Self-Learning Control of Finite Markov Chains
E-Book
10/2018
CRC Press
€92.49
Available for download
A.S. Poznyak | Kaddour Najim | E. Gomez-Ramirez
Self-Learning Control of Finite Markov Chains
Book
01/2000
1st Edition
CRC Press
€148.56
Shipment within 15-20 days
Persons
Poznyak, A.S.; Najim, Kaddour; Gomez-Ramirez, E.
Content
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.