A Scalable Space-Time Domain Decomposition Approach for Solving Large Scale Nonlinear Regularized Inverse Ill Posed Problems in 4D Variational Data Assimilation
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1573-7691
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
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online resource.
- Erschienen in
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A Scalable Space-Time Domain Decomposition Approach for Solving Large Scale Nonlinear Regularized Inverse Ill Posed Problems in 4D Variational Data Assimilation ; volume:91 ; number:2 ; day:6 ; month:4 ; year:2022 ; pages:1-31 ; date:5.2022
Journal of scientific computing ; 91, Heft 2 (6.4.2022), 1-31, 5.2022
- Urheber
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D’Amore, Luisa
Constantinescu, Emil
Carracciuolo, Luisa
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1007/s10915-022-01826-7
- URN
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urn:nbn:de:101:1-2022070912123157549764
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
- 15.08.2025, 07:34 MESZ
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Beteiligte
- D’Amore, Luisa
- Constantinescu, Emil
- Carracciuolo, Luisa
- SpringerLink (Online service)
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