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 c
Stochastic modelling of model errors: a simulation study
β Scribed by M. D. Tsyrulnikov
- Book ID
- 111775854
- Publisher
- John Wiley and Sons
- Year
- 2005
- Tongue
- English
- Weight
- 635 KB
- Volume
- 131
- Category
- Article
- ISSN
- 0035-9009
- DOI
- 10.1256/qj.05.19
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To gain insight into the performance of a deep-bed filter, it is essential to determine the spatial distribution of suspended particles in the bed as a function of time. More often than not, a filtration process behaves stochastically rather than deterministically; therefore,a stochastic compartment
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