Large Deviation Principles of Obstacle Problems for Quasilinear Stochastic PDEs
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1432-0606
- 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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Large Deviation Principles of Obstacle Problems for Quasilinear Stochastic PDEs ; day:26 ; month:4 ; year:2019 ; pages:1-31
Applied mathematics & optimization ; (26.4.2019), 1-31
- Urheber
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
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10.1007/s00245-019-09570-5
- URN
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urn:nbn:de:101:1-2019051922242908361457
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:52 MESZ
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Beteiligte
- Matoussi, Anis
- Sabbagh, Wissal
- Zhang, Tusheng
- SpringerLink (Online service)
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