Stochastic modelling in process technology
There is an ever increasing need for modelling complex processes reliably. Computational modelling techniques, such as CFD and MD may be used as tools to study specific systems, but their emergence has not decreased the need for generic, analytical process models. Multiphase and multicomponent syste...
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| Other Authors: | , |
| Format: | eBook |
| Language: | English |
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Amsterdam
Elsevier
2007, 2007
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| Edition: | 1st ed |
| Series: | Mathematics in science and engineering
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| Subjects: | |
| Online Access: | |
| Collection: | Elsevier eBook collection Mathematics - Collection details see MPG.ReNa |
| Summary: | There is an ever increasing need for modelling complex processes reliably. Computational modelling techniques, such as CFD and MD may be used as tools to study specific systems, but their emergence has not decreased the need for generic, analytical process models. Multiphase and multicomponent systems, and high-intensity processes displaying a highly complex behaviour are becoming omnipresent in the processing industry. This book discusses an elegant, but little-known technique for formulating process models in process technology: stochastic process modelling. The technique is based on computi |
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| Physical Description: | x, 279 pages illustrations |
| ISBN: | 0080548970 9780080548975 |