Stochastic modelling in process technology: = Stochastic modeling in process technology
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Amsterdam ; Boston ; London
Elsevier
2007
|
| Ausgabe: | 1st ed |
| Schriftenreihe: | Mathematics in science and engineering
v. 211 |
| Schlagworte: | |
| Beschreibung: | Print version record |
| Beschreibung: | 1 online resource (x, 279 pages) illustrations |
| ISBN: | 0080548970 9780080548975 |
Internformat
MARC
| LEADER | 00000nmm a2200000zcb4500 | ||
|---|---|---|---|
| 001 | BV045343274 | ||
| 003 | DE-604 | ||
| 005 | 00000000000000.0 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 181206s2007 |||| o||u| ||||||eng d | ||
| 015 | |a GBA756960 |2 dnb | ||
| 020 | |a 0080548970 |9 0-08-054897-0 | ||
| 020 | |a 9780080548975 |9 978-0-08-054897-5 | ||
| 035 | |a (ZDB-4-ENC)ocn441817642 | ||
| 035 | |a (OCoLC)441817642 | ||
| 035 | |a (DE-599)BVBBV045343274 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 082 | 0 | |a 670.15118 |2 22 | |
| 100 | 1 | |a Dehling, Herold |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Stochastic modelling in process technology |b = Stochastic modeling in process technology |c Herold G. Dehling, Timo Gottschalk, Alex C. Hoffmann |
| 246 | 1 | 3 | |a Stochastic modeling in process technology |
| 246 | 1 | 1 | |a Stochastic modeling in process technology |
| 250 | |a 1st ed | ||
| 264 | 1 | |a Amsterdam ; Boston ; London |b Elsevier |c 2007 | |
| 300 | |a 1 online resource (x, 279 pages) |b illustrations | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 490 | 0 | |a Mathematics in science and engineering |v v. 211 | |
| 500 | |a Print version record | ||
| 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 | |
| 650 | 7 | |a TECHNOLOGY & ENGINEERING / Industrial Technology |2 bisacsh | |
| 650 | 7 | |a TECHNOLOGY & ENGINEERING / Technical & Manufacturing Industries & Trades |2 bisacsh | |
| 650 | 7 | |a TECHNOLOGY & ENGINEERING / Industrial Engineering |2 bisacsh | |
| 650 | 7 | |a TECHNOLOGY & ENGINEERING / Manufacturing |2 bisacsh | |
| 650 | 7 | |a Manufacturing processes / Mathematical models |2 fast | |
| 650 | 7 | |a Stochastic models |2 fast | |
| 650 | 4 | |a Manufacturing processes |x Mathematical models |a Stochastic models | |
| 700 | 1 | |a Gottschalk, Timo |e Sonstige |4 oth | |
| 700 | 1 | |a Hoffmann, Alex C. |e Sonstige |4 oth | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |a Dehling, Herold |t Stochastic modelling in process technology |d Amsterdam ; London : Elsevier, 2007 |z 9780444520265 |z 0444520260 |
| 912 | |a ZDB-4-ENC | ||
| 999 | |a oai:aleph.bib-bvb.de:BVB01-030729978 | ||
Datensatz im Suchindex
| _version_ | 1804179161887014912 |
|---|---|
| any_adam_object | |
| author | Dehling, Herold |
| author_facet | Dehling, Herold |
| author_role | aut |
| author_sort | Dehling, Herold |
| author_variant | h d hd |
| building | Verbundindex |
| bvnumber | BV045343274 |
| collection | ZDB-4-ENC |
| 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 |
| ctrlnum | (ZDB-4-ENC)ocn441817642 (OCoLC)441817642 (DE-599)BVBBV045343274 |
| 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 |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>02624nmm a2200493zcb4500</leader><controlfield tag="001">BV045343274</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">00000000000000.0</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">181206s2007 |||| o||u| ||||||eng d</controlfield><datafield tag="015" ind1=" " ind2=" "><subfield code="a">GBA756960</subfield><subfield code="2">dnb</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">0080548970</subfield><subfield code="9">0-08-054897-0</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9780080548975</subfield><subfield code="9">978-0-08-054897-5</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-4-ENC)ocn441817642</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)441817642</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV045343274</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">670.15118</subfield><subfield code="2">22</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Dehling, Herold</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Stochastic modelling in process technology</subfield><subfield code="b">= Stochastic modeling in process technology</subfield><subfield code="c">Herold G. Dehling, Timo Gottschalk, Alex C. Hoffmann</subfield></datafield><datafield tag="246" ind1="1" ind2="3"><subfield code="a">Stochastic modeling in process technology</subfield></datafield><datafield tag="246" ind1="1" ind2="1"><subfield code="a">Stochastic modeling in process technology</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">1st ed</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Amsterdam ; Boston ; London</subfield><subfield code="b">Elsevier</subfield><subfield code="c">2007</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource (x, 279 pages)</subfield><subfield code="b">illustrations</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">Mathematics in science and engineering</subfield><subfield code="v">v. 211</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Print version record</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="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</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">TECHNOLOGY & ENGINEERING / Industrial Technology</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">TECHNOLOGY & ENGINEERING / Technical & Manufacturing Industries & Trades</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">TECHNOLOGY & ENGINEERING / Industrial Engineering</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">TECHNOLOGY & ENGINEERING / Manufacturing</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Manufacturing processes / Mathematical models</subfield><subfield code="2">fast</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Stochastic models</subfield><subfield code="2">fast</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Manufacturing processes</subfield><subfield code="x">Mathematical models</subfield><subfield code="a">Stochastic models</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Gottschalk, Timo</subfield><subfield code="e">Sonstige</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Hoffmann, Alex C.</subfield><subfield code="e">Sonstige</subfield><subfield code="4">oth</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="a">Dehling, Herold</subfield><subfield code="t">Stochastic modelling in process technology</subfield><subfield code="d">Amsterdam ; London : Elsevier, 2007</subfield><subfield code="z">9780444520265</subfield><subfield code="z">0444520260</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-4-ENC</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-030729978</subfield></datafield></record></collection> |
| id | DE-604.BV045343274 |
| illustrated | Illustrated |
| indexdate | 2024-07-10T08:15:28Z |
| institution | BVB |
| isbn | 0080548970 9780080548975 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030729978 |
| oclc_num | 441817642 |
| open_access_boolean | |
| physical | 1 online resource (x, 279 pages) illustrations |
| psigel | ZDB-4-ENC |
| publishDate | 2007 |
| publishDateSearch | 2007 |
| publishDateSort | 2007 |
| 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 |
| work_keys_str_mv | AT dehlingherold stochasticmodellinginprocesstechnologystochasticmodelinginprocesstechnology AT gottschalktimo stochasticmodellinginprocesstechnologystochasticmodelinginprocesstechnology AT hoffmannalexc stochasticmodellinginprocesstechnologystochasticmodelinginprocesstechnology AT dehlingherold stochasticmodelinginprocesstechnology AT gottschalktimo stochasticmodelinginprocesstechnology AT hoffmannalexc stochasticmodelinginprocesstechnology |