Modelling history-dependent parameters in the SMPS format for stochastic programming

Modelling history-dependent parameters in the SMPS format for stochastic programming

0.00 Avg rating0 Votes
Article ID: iaor20084734
Country: United Kingdom
Volume: 19
Issue: 1
Start Page Number: 87
End Page Number: 97
Publication Date: Jan 2008
Journal: IMA Journal of Management Mathematics (Print)
Authors: ,
Keywords: SMPS format
Abstract:

This paper proposes two extensions to the SMPS format for stochastic programs to permit modelling of autoregressive-moving average processes. Sampling-based algorithms can thus proceed independently of any underlying modelling system, increasing efficiency. An illustrative example demonstrates the power of the new constructs.

Reviews

Required fields are marked *. Your email address will not be published.