000963829 001__ 963829 000963829 005__ 20260203091520.0 000963829 0247_ $$2ISBN$$a978-3-030-55873-4 000963829 0247_ $$2ISBN$$a978-3-030-55874-1 000963829 0247_ $$2ISSN$$a2197-7100 000963829 0247_ $$2doi$$a10.1007/978-3-030-55874-1_48 000963829 0247_ $$2SCOPUS$$aSCOPUS:2-s2.0-85106432035 000963829 037__ $$aRWTH-2023-07972 000963829 041__ $$aEnglish 000963829 1001_ $$0P:(DE-82)789409$$aAretz-Nellesen, Nicole$$b0$$urwth 000963829 1112_ $$aENUMATH 2019 European Conference$$cEgmond aan Zee$$d2021-09-30- 2021-10-04$$gENUMATH 2019$$wNetherlands 000963829 245__ $$aA Sequential Sensor Selection Strategy for Hyper-Parameterized Linear Bayesian Inverse Problems$$honline, print 000963829 260__ $$aCham$$bSpringer International Publishing$$c2021 000963829 260__ $$c2020 000963829 29510 $$aNumerical Mathematics and Advanced Applications ENUMATH 2019 European Conference, Egmond aan Zee, The Netherlands, September 30 - October 4 000963829 300__ $$a489-497 000963829 3367_ $$033$$2EndNote$$aConference Paper 000963829 3367_ $$0PUB:(DE-HGF)7$$2PUB:(DE-HGF)$$aContribution to a book 000963829 3367_ $$0PUB:(DE-HGF)8$$2PUB:(DE-HGF)$$aContribution to a conference proceedings$$bcontrib$$mcontrib$$s1692191018_21157 000963829 3367_ $$2BibTeX$$aINPROCEEDINGS 000963829 3367_ $$2DRIVER$$aconferenceObject 000963829 3367_ $$2DataCite$$aOutput Types/Conference Paper 000963829 3367_ $$2ORCID$$aCONFERENCE_PAPER 000963829 4900_ $$aLecture notes in computational science and engineering book series$$v139 000963829 500__ $$aFirst Online: 22 August 2020 000963829 588__ $$aDataset connected to DataCite 000963829 591__ $$aUSA 000963829 591__ $$aGermany 000963829 7001_ $$aChen, Peng$$b1 000963829 7001_ $$0P:(DE-82)IDM00072$$aGrepl, Martin A.$$b2$$eCorresponding author$$urwth 000963829 7001_ $$0P:(DE-82)IDM00323$$aVeroy-Grepl, Karen$$b3$$urwth 000963829 7870_ $$0RWTH-2021-01500$$iIsParent 000963829 9101_ $$0I:(DE-588b)36225-6$$6P:(DE-82)789409$$aRWTH Aachen$$b0$$kRWTH 000963829 9101_ $$0I:(DE-588b)36225-6$$6P:(DE-82)IDM00072$$aRWTH Aachen$$b2$$kRWTH 000963829 9101_ $$0I:(DE-588b)36225-6$$6P:(DE-82)IDM00323$$aRWTH Aachen$$b3$$kRWTH 000963829 9141_ $$y2020 000963829 9151_ $$0StatID:(DE-HGF)0031$$2StatID$$aPeer reviewed article$$x0 000963829 9201_ $$0I:(DE-82)112620_20140620$$k112620$$lLehr- und Forschungsgebiet Optimierung mit partiellen Differentialgleichungen$$x0 000963829 9201_ $$0I:(DE-82)110000_20140620$$k110000$$lFachgruppe Mathematik$$x1 000963829 9201_ $$0I:(DE-82)080003_20140620$$k080003$$lAachen Institute for Advanced Study in Computational Engineering Science$$x2 000963829 9201_ $$0I:(DE-82)316320_20150602$$k316320$$lLehr- und Forschungsgebiet für Hochleistungsrechnen ingenieurmäßiger Modelle$$x3 000963829 961__ $$c2023-08-16T15:08:04.061412$$x2023-08-16T15:08:04.061412$$z2023-08-17 000963829 980__ $$aI:(DE-82)080003_20140620 000963829 980__ $$aI:(DE-82)110000_20140620 000963829 980__ $$aI:(DE-82)112620_20140620 000963829 980__ $$aI:(DE-82)316320_20150602 000963829 980__ $$aUNRESTRICTED 000963829 980__ $$aVDBINPRINT 000963829 980__ $$acontb 000963829 980__ $$acontrib