Optimization of stochastic simulation models
β Scribed by F. Azadivar; J. Talavage
- Publisher
- Elsevier Science
- Year
- 1980
- Tongue
- English
- Weight
- 869 KB
- Volume
- 22
- Category
- Article
- ISSN
- 0378-4754
No coin nor oath required. For personal study only.
β¦ Synopsis
Ilarhcmatics and Computers in Simulation XXI1 (1980) 231 241 North-Hc)lland Publishing C'ompany PrincipZes OS the Stochastic A&!zoximation Method haus been used in developing this algorithm. The SAMOPT algorithm aZso aLLows ,por the case where the decision variables are subject to a set 01~ Zinear constraints. Comparison of resuZts between applications 02f SAMCPY and another well-kno;ln method are given ,for probZems and a simuZation model.
π SIMILAR VOLUMES
Stochastic simulation is a method of computing probabilities by recording the fraction of time that events occur in a random series of scenarios generated from some causal model. This paper presents an efficient, concurrent method of conducting the simulation which guarantees that all generated scen
Properties of two of the stochastic circulatory models theoretically introduced by Smith et al., 1997, Bull. Math. Biol. 59, 1-22 were investigated. The models assumed the gamma distribution of the cycle time under either the geometric or Poisson elimination scheme. The reason for selecting these mo