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Probability and Partial Differential Equations in Modern Applied Mathematics

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dc.contributor.author Waymire, Edward C ed.
dc.contributor.author Duan, Jinqiao, ed.
dc.date.accessioned 2019-11-27T23:42:02Z
dc.date.available 2019-11-27T23:42:02Z
dc.date.issued 2005
dc.identifier.isbn 978-0387-25879-9
dc.identifier.uri http://hdl.handle.net/123456789/13726
dc.description.abstract ""Probability and Partial Differential Equations in Modern Applied Mathematics"" is devoted to the role of probabilistic methods in modern applied mathematics from the perspectives of both a tool for analysis and as a tool in modeling. There is a recognition in the applied mathematics research community that stochastic methods are playing an increasingly prominent role in the formulation and analysis of diverse problems of contemporary interest in the sciences and engineering. A probabilistic representation of solutions to partial differential equations that arise as deterministic models allow. es
dc.language.iso en es
dc.publisher Springer es
dc.relation.ispartofseries IMA Volumes in Mathematics and its Applications;Vol. 140
dc.rights Este documento es reproducido por la biblioteca universitaria de la UCLV bajo el amparo de la legislación cubana vigente sobre derecho de autor. Los usuarios podrán utilizar este material bajo la siguiente licencia: Reconociendo a los autores de la obra mediante las citas y referencias bibliográficas correspondientes, utilizar solo para fines No Comerciales y No realizar reproducciones u obras derivadas. es
dc.subject Procesos Estocásticos es
dc.subject Congresos es
dc.subject Probabilidades es
dc.subject Congresos es
dc.subject Ecuaciones Diferenciales Parciales es
dc.subject Congresos es
dc.title Probability and Partial Differential Equations in Modern Applied Mathematics es
dc.type Book es


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