Hauptseite > Workflowsammlungen > Publikationsgebühren > Analysis of the local well‐posedness of optimization‐constrained differential equations by local optimality conditions > print |
001 | 878094 | ||
005 | 20240712112903.0 | ||
024 | 7 | _ | |a 10.1002/aic.16548 |2 doi |
024 | 7 | _ | |a 0001-1541 |2 ISSN |
024 | 7 | _ | |a 1547-5905 |2 ISSN |
024 | 7 | _ | |a 2128/26190 |2 Handle |
024 | 7 | _ | |a WOS:000564202600001 |2 WOS |
037 | _ | _ | |a FZJ-2020-02628 |
082 | _ | _ | |a 660 |
100 | 1 | _ | |a Zhao, Xiao |0 P:(DE-Juel1)165698 |b 0 |
245 | _ | _ | |a Analysis of the local well‐posedness of optimization‐constrained differential equations by local optimality conditions |
260 | _ | _ | |a Hoboken, NJ |c 2020 |b Wiley |
336 | 7 | _ | |a article |2 DRIVER |
336 | 7 | _ | |a Output Types/Journal article |2 DataCite |
336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1610473317_22697 |2 PUB:(DE-HGF) |
336 | 7 | _ | |a ARTICLE |2 BibTeX |
336 | 7 | _ | |a JOURNAL_ARTICLE |2 ORCID |
336 | 7 | _ | |a Journal Article |0 0 |2 EndNote |
520 | _ | _ | |a Optimization‐constrained differential equations (OCDE) are a class of mathematical problems where differential equations are constrained by an embedded algebraic optimization problem. We analyze the well‐posedness of the local solutions of OCDE based on local optimality. By assuming linear independence constraint qualification and applying the Karush‐Kuhn‐Tucker optimality conditions, an OCDE is transformed into a complementarity system (CS). Under second‐order sufficient condition we show that (a) if strict complementary condition (SCC) holds, the local solution of OCDE is well‐posed, which corresponds to a mode of the derived CS; (b) at points where SCC is violated, a local solution of OCDE exists by sequentially connecting the local solutions of two selected modes of the derived CS. We propose an event‐based algorithm to numerically solve OCDE. We illustrate the approach and algorithm for microbial cultivation, single flash unit and contrived numerical examples. |
536 | _ | _ | |a 583 - Innovative Synergisms (POF3-583) |0 G:(DE-HGF)POF3-583 |c POF3-583 |f POF III |x 0 |
588 | _ | _ | |a Dataset connected to CrossRef |
700 | 1 | _ | |a Ploch, Tobias |0 P:(DE-HGF)0 |b 1 |
700 | 1 | _ | |a Noack, Stephan |0 P:(DE-Juel1)129050 |b 2 |
700 | 1 | _ | |a Wiechert, Wolfgang |0 P:(DE-Juel1)129076 |b 3 |
700 | 1 | _ | |a Mitsos, Alexander |0 P:(DE-Juel1)172025 |b 4 |e Corresponding author |
700 | 1 | _ | |a von Lieres, Eric |0 P:(DE-Juel1)129081 |b 5 |e Corresponding author |
773 | _ | _ | |a 10.1002/aic.16548 |0 PERI:(DE-600)2020333-0 |n 10 |p e16548 |t AIChE journal |v 66 |y 2020 |x 1547-5905 |
856 | 4 | _ | |u https://juser.fz-juelich.de/record/878094/files/aic16548.pdf |y OpenAccess |
856 | 4 | _ | |u https://juser.fz-juelich.de/record/878094/files/aic16548.pdf?subformat=pdfa |x pdfa |y OpenAccess |
909 | C | O | |o oai:juser.fz-juelich.de:878094 |p openaire |p open_access |p OpenAPC_DEAL |p driver |p VDB |p openCost |p dnbdelivery |
910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 2 |6 P:(DE-Juel1)129050 |
910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 3 |6 P:(DE-Juel1)129076 |
910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 4 |6 P:(DE-Juel1)172025 |
910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 5 |6 P:(DE-Juel1)129081 |
913 | 1 | _ | |a DE-HGF |b Key Technologies |l Key Technologies for the Bioeconomy |1 G:(DE-HGF)POF3-580 |0 G:(DE-HGF)POF3-583 |3 G:(DE-HGF)POF3 |2 G:(DE-HGF)POF3-500 |4 G:(DE-HGF)POF |v Innovative Synergisms |x 0 |
914 | 1 | _ | |y 2020 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0200 |2 StatID |b SCOPUS |d 2020-02-26 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0160 |2 StatID |b Essential Science Indicators |d 2020-02-26 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1160 |2 StatID |b Current Contents - Engineering, Computing and Technology |d 2020-02-26 |
915 | _ | _ | |a Creative Commons Attribution CC BY 4.0 |0 LIC:(DE-HGF)CCBY4 |2 HGFVOC |
915 | _ | _ | |a JCR |0 StatID:(DE-HGF)0100 |2 StatID |b AICHE J : 2018 |d 2020-02-26 |
915 | _ | _ | |a DEAL Wiley |0 StatID:(DE-HGF)3001 |2 StatID |d 2020-02-26 |w ger |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0150 |2 StatID |b Web of Science Core Collection |d 2020-02-26 |
915 | _ | _ | |a WoS |0 StatID:(DE-HGF)0110 |2 StatID |b Science Citation Index |d 2020-02-26 |
915 | _ | _ | |a WoS |0 StatID:(DE-HGF)0111 |2 StatID |b Science Citation Index Expanded |d 2020-02-26 |
915 | _ | _ | |a IF < 5 |0 StatID:(DE-HGF)9900 |2 StatID |d 2020-02-26 |
915 | _ | _ | |a OpenAccess |0 StatID:(DE-HGF)0510 |2 StatID |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0300 |2 StatID |b Medline |d 2020-02-26 |
915 | _ | _ | |a Nationallizenz |0 StatID:(DE-HGF)0420 |2 StatID |d 2020-02-26 |w ger |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0199 |2 StatID |b Clarivate Analytics Master Journal List |d 2020-02-26 |
920 | 1 | _ | |0 I:(DE-Juel1)IBG-1-20101118 |k IBG-1 |l Biotechnologie |x 0 |
920 | 1 | _ | |0 I:(DE-Juel1)IEK-10-20170217 |k IEK-10 |l Modellierung von Energiesystemen |x 1 |
980 | 1 | _ | |a APC |
980 | 1 | _ | |a FullTexts |
980 | _ | _ | |a journal |
980 | _ | _ | |a VDB |
980 | _ | _ | |a I:(DE-Juel1)IBG-1-20101118 |
980 | _ | _ | |a I:(DE-Juel1)IEK-10-20170217 |
980 | _ | _ | |a APC |
980 | _ | _ | |a UNRESTRICTED |
981 | _ | _ | |a I:(DE-Juel1)ICE-1-20170217 |
Library | Collection | CLSMajor | CLSMinor | Language | Author |
---|