EconPapers    
Economics at your fingertips  
 

Decomposable jump decision processes

K. D. Glazebrook

Stochastic Processes and their Applications, 1979, vol. 9, issue 1, 19-33

Abstract: A large class of continuous parameter jump decision processes is considered. Pontryagin's Maximum Principle is used to derive a necessary condition for optimality. An optimal strategy may frequently be obtained explicitly.

Keywords: Dynamic; programming; Markov; and; semi-Markov; decision; processes; optimal; control; Pontryagin; Maximum; Principle (search for similar items in EconPapers)
Date: 1979
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/0304-4149(79)90037-1
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:spapps:v:9:y:1979:i:1:p:19-33

Ordering information: This journal article can be ordered from
http://http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01

Access Statistics for this article

Stochastic Processes and their Applications is currently edited by T. Mikosch

More articles in Stochastic Processes and their Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:spapps:v:9:y:1979:i:1:p:19-33