Abstract
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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
