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Mathematical analysis of random phenomena : proceedings of the international conference, Hammamet, Tunisia, 12-17 September 2005 /

This volume highlights recent developments of stochastic analysis with a wide spectrum of applications, including stochastic differential equations, stochastic geometry, and nonlinear partial differential equations. While modern stochastic analysis may appear to be an abstract mixture of classical a...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Cruzeiro, A. B. (Ana Bela Ferreira), 1957-, Ouerdiane, Habib, Obata, Nobuaki, 1957-
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Hackensack, N.J. : World Scientific, ©2007.
Temas:
Acceso en línea:Texto completo

MARC

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245 0 0 |a Mathematical analysis of random phenomena :  |b proceedings of the international conference, Hammamet, Tunisia, 12-17 September 2005 /  |c editors, Ana Bela Cruzeiro, Habib Ouerdiane, Nobuaki Obata. 
260 |a Hackensack, N.J. :  |b World Scientific,  |c ©2007. 
300 |a 1 online resource (vii, 231 pages) :  |b illustrations 
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505 0 |a Preface HBLENE AIRAULT; Contents; Geometry and integration by parts on H \ Diff(S') HBLENE AIRAULT, PAUL MALLIAVIN; Invariant measures for Ornstein-Uhlenbeck operators ABDULRAHMAN AL-HUSSEIN; Backward stochastic differential equations with respect to martingales WIDED AYED, NOBUAKI OBATA, HABIB OUERDIANE; Partial unitarity arising from quadratic quantum white noise SONIA CHAARI, SOUMAYA GHERYANI, HABIB OUERDIANE; Schilder's theorem for Gaussian white noise distributions F. CIPRIANO, H. OUERDIANE, J . L. SILVA, R. VILELA MENDES. 
520 |a This volume highlights recent developments of stochastic analysis with a wide spectrum of applications, including stochastic differential equations, stochastic geometry, and nonlinear partial differential equations. While modern stochastic analysis may appear to be an abstract mixture of classical analysis and probability theory, this book shows that, in fact, it can provide versatile tools useful in many areas of applied mathematics where the phenomena being described are random. The geometrical aspects of stochastic analysis, often regarded as the most promising for applications, are special. 
546 |a English. 
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700 1 |a Obata, Nobuaki,  |d 1957- 
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