Stochastic modelling in process technology: = Stochastic modeling in process technology
Saved in:
| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Amsterdam ; Boston ; London
Elsevier
2007
|
| Edition: | 1st ed |
| Series: | Mathematics in science and engineering
v. 211 |
| Subjects: | |
| Item Description: | Print version record |
| Physical Description: | 1 online resource (x, 279 pages) illustrations |
| ISBN: | 0080548970 9780080548975 |
Staff View
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| 245 | 1 | 0 | |a Stochastic modelling in process technology |b = Stochastic modeling in process technology |c Herold G. Dehling, Timo Gottschalk, Alex C. Hoffmann |
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| 505 | 8 | |a 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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| author | Dehling, Herold |
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| contents | 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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| dewey-full | 670.15118 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 670 - Manufacturing |
| dewey-raw | 670.15118 |
| dewey-search | 670.15118 |
| dewey-sort | 3670.15118 |
| dewey-tens | 670 - Manufacturing |
| discipline | Werkstoffwissenschaften / Fertigungstechnik |
| edition | 1st ed |
| format | Electronic eBook |
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| id | DE-604.BV045343274 |
| illustrated | Illustrated |
| indexdate | 2024-07-10T08:15:28Z |
| institution | BVB |
| isbn | 0080548970 9780080548975 |
| language | English |
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| oclc_num | 441817642 |
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| physical | 1 online resource (x, 279 pages) illustrations |
| psigel | ZDB-4-ENC |
| publishDate | 2007 |
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| publisher | Elsevier |
| record_format | marc |
| series2 | Mathematics in science and engineering |
| spelling | Dehling, Herold Verfasser aut Stochastic modelling in process technology = Stochastic modeling in process technology Herold G. Dehling, Timo Gottschalk, Alex C. Hoffmann Stochastic modeling in process technology 1st ed Amsterdam ; Boston ; London Elsevier 2007 1 online resource (x, 279 pages) illustrations txt rdacontent c rdamedia cr rdacarrier Mathematics in science and engineering v. 211 Print version record 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 TECHNOLOGY & ENGINEERING / Industrial Technology bisacsh TECHNOLOGY & ENGINEERING / Technical & Manufacturing Industries & Trades bisacsh TECHNOLOGY & ENGINEERING / Industrial Engineering bisacsh TECHNOLOGY & ENGINEERING / Manufacturing bisacsh Manufacturing processes / Mathematical models fast Stochastic models fast Manufacturing processes Mathematical models Stochastic models Gottschalk, Timo Sonstige oth Hoffmann, Alex C. Sonstige oth Erscheint auch als Druck-Ausgabe Dehling, Herold Stochastic modelling in process technology Amsterdam ; London : Elsevier, 2007 9780444520265 0444520260 |
| spellingShingle | Dehling, Herold Stochastic modelling in process technology = Stochastic modeling 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 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 TECHNOLOGY & ENGINEERING / Industrial Technology bisacsh TECHNOLOGY & ENGINEERING / Technical & Manufacturing Industries & Trades bisacsh TECHNOLOGY & ENGINEERING / Industrial Engineering bisacsh TECHNOLOGY & ENGINEERING / Manufacturing bisacsh Manufacturing processes / Mathematical models fast Stochastic models fast Manufacturing processes Mathematical models Stochastic models |
| title | Stochastic modelling in process technology = Stochastic modeling in process technology |
| title_alt | Stochastic modeling in process technology |
| title_auth | Stochastic modelling in process technology = Stochastic modeling in process technology |
| title_exact_search | Stochastic modelling in process technology = Stochastic modeling in process technology |
| title_full | Stochastic modelling in process technology = Stochastic modeling in process technology Herold G. Dehling, Timo Gottschalk, Alex C. Hoffmann |
| title_fullStr | Stochastic modelling in process technology = Stochastic modeling in process technology Herold G. Dehling, Timo Gottschalk, Alex C. Hoffmann |
| title_full_unstemmed | Stochastic modelling in process technology = Stochastic modeling in process technology Herold G. Dehling, Timo Gottschalk, Alex C. Hoffmann |
| title_short | Stochastic modelling in process technology |
| title_sort | stochastic modelling in process technology stochastic modeling in process technology |
| title_sub | = Stochastic modeling in process technology |
| topic | TECHNOLOGY & ENGINEERING / Industrial Technology bisacsh TECHNOLOGY & ENGINEERING / Technical & Manufacturing Industries & Trades bisacsh TECHNOLOGY & ENGINEERING / Industrial Engineering bisacsh TECHNOLOGY & ENGINEERING / Manufacturing bisacsh Manufacturing processes / Mathematical models fast Stochastic models fast Manufacturing processes Mathematical models Stochastic models |
| topic_facet | TECHNOLOGY & ENGINEERING / Industrial Technology TECHNOLOGY & ENGINEERING / Technical & Manufacturing Industries & Trades TECHNOLOGY & ENGINEERING / Industrial Engineering TECHNOLOGY & ENGINEERING / Manufacturing Manufacturing processes / Mathematical models Stochastic models Manufacturing processes Mathematical models Stochastic models |
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