Continuous-Time Markov Decision Processes Theory and Applications

Continuous-Time Markov Decision Processes Theory and Applications / by Xianping Guo, Onésimo Hernández-Lerma.

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 populati...

Full description

Saved in:
Bibliographic Details
Main Authors: Guo, Xianping (Author), Hernández-Lerma, Onésimo (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2009.
Edition:1st ed. 2009.
Series:Stochastic Modelling and Applied Probability, 62
Springer eBook Collection.
Subjects:
Mathematical optimization.
Probabilities.
Operations research.
Management science.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Login for hold information

‌

Click to view e-book

Online

Holdings details from Online
Call Number: E-Book
Status: Available

Similar Items