In this paper, we investigate the effectiveness of direct statistical simulation (DSS) for two low-order models dynamo action. The first model, which is a simple model solar and stellar action, third order has cubic nonlinearities while second only quadratic describes interaction convection an aperiodically reversing magnetic field. We show how DSS can be used to solve statistics these systems ...

Real-time capture of the relevant features of the unresolved turbulent dynamics of complex natural systems from sparse noisy observations and imperfect models is a notoriously difficult problem. The resulting lack of resolution and statistical accuracy in estimating the important turbulent processes which intermittently send significant energy to the large-scale fluctuations hinders efficient p...

Abstract : In this paper , we apply the stochastic dynamic programming to approximate the mean project completion time in dynamic Markov PERT networks. It is assumed that the activity durations are independent random variables with exponential distributions, but some social and economical problems influence the mean of activity durations. It is also assumed that the social problems evolve in ac...

this study develops a long run optimal pattern for nomadic ranchers of fars province under climate uncertainty by simulating dynamic process of livestock and forage productivity as well as employing dynamic stochastic programming. results indicate that the nomadic representatives do not perform, optimally. despite their attachments to livestock as an asset, and their life dependency on livestoc...

Safety stock and safety time are two well-known buffering solutions of material requirements planning (MRP) processes to mitigate against supply demand uncertainty. While the significance proper inventory in managing change has been extensively researched, chain management research on period gotten less attention. Earlier operations quantitative studies, particular, have often evaluated utiliza...