A Numerical Stochastic Control model of Range Management

An optimal stochastic control model of grazing that incorporates both pasture and livestock dynamics is presented. The model is solved numerically using Markov chain approximation methods. Markov chain approximation methods have a number of advantages as a means of solving stochastic optimal control methods compared with the usual alternatives. In particular, optimal control of the approximating Markov chain may be determined using Linear programming methods, thus making optimal stochastic control methods accessible to a wider audience.


Issue Date:
Feb 02 2000
Publication Type:
Conference Paper/ Presentation
PURL Identifier:
http://purl.umn.edu/123643
Total Pages:
15




 Record created 2017-04-01, last modified 2017-08-26

Fulltext:
Download fulltext
PDF

Rate this document:

Rate this document:
1
2
3
 
(Not yet reviewed)