Continuous-Time Markov Decision Processes: Theory and Applications: 62 (Stochastic Modelling and Applied Probability) - Tapa blanda

Guo, Xianping; Hernández-Lerma, Onésimo

 
9783642260728: Continuous-Time Markov Decision Processes: Theory and Applications: 62 (Stochastic Modelling and Applied Probability)
Tapa blanda
ISBN 10: 3642260721 ISBN 13: 9783642260728
Editorial: Springer, 2012

Sinopsis

Continuous-time Markov decision processes (MDPs), also known as controlled Markov chains, are used for modeling decision-making problems that arise in operations research (for instance, inventory, manufacturing, and queueing systems), computer science, communications engineering, control of populations (such as fisheries and epidemics), and management science, among many other fields. This volume provides a unified, systematic, self-contained presentation of recent developments on the theory and applications of continuous-time MDPs. The MDPs in this volume include most of the cases that arise in applications, because they allow unbounded transition and reward/cost rates. Much of the material appears for the first time in book form.

"Sinopsis" puede pertenecer a otra edición de este libro.

Acerca del autor

Onésimo Hernández-Lerma received the Science and Arts National Award from the Government of MEXICO in 2001, an honorary doctorate from the University of Sonora in 2003, and the Scopus Prize from Elsevier in 2008. Xianping Guo received the He-Pan-Qing-Yi Best Paper Award from the 7th Word Congress on Intelligent Control and Automation in 2008.

De la contraportada

Continuous-time Markov decision processes (MDPs), also known as controlled Markov chains, are used for modeling decision-making problems that arise in operations research (for instance, inventory, manufacturing, and queueing systems), computer science, communications engineering, control of populations (such as fisheries and epidemics), and management science, among many other fields. This volume provides a unified, systematic, self-contained presentation of recent developments on the theory and applications of continuous-time MDPs. The MDPs in this volume include most of the cases that arise in applications, because they allow unbounded transition and reward/cost rates. Much of the material appears for the first time in book form.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Springer
Año de publicación
2012
Idioma
Inglés
ISBN 10 
3642260721
ISBN 13 
9783642260728
Encuadernación
Tapa blanda
Número de páginas
252
Contacto del fabricante
no disponible
Persona responsable
CMN Printpool Inh. Mathis Neumann
https://www.also.com/ec/cms5/en_6000/6000/index.jsp

Friedrich-Karl-Str. 9
Hamburg
Alemania

Otras ediciones populares con el mismo título

9783642025464: Continuous-Time Markov Decision Processes: Theory and Applications: 62 (Stochastic Modelling and Applied Probability)

Edición Destacada

ISBN 10:  3642025463 ISBN 13:  9783642025464
Editorial: Springer, 2009
Tapa dura