A Minicourse on Stochastic Partial Differential Equations [electronic resource] /by Robert Dalang, Davar Khoshnevisan, Carl Mueller, David Nualart, Yimin Xiao ; edited by Davar Khoshnevisan, Firas Rassoul-Agha.
by Dalang, Robert [author.]; Khoshnevisan, Davar [author.]; Mueller, Carl [author.]; Nualart, David [author.]; Xiao, Yimin [author.]; Khoshnevisan, Davar [editor.]; Rassoul-Agha, Firas [editor.]; SpringerLink (Online service).
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BookSeries: Lecture Notes in Mathematics: 1962Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2009.Description: XI, 222 p. online resource.ISBN: 9783540859949.Subject(s): Mathematics | Integral equations | Differential equations, partial | Distribution (Probability theory) | Mathematics | Probability Theory and Stochastic Processes | Partial Differential Equations | Integral EquationsDDC classification: 519.2 Online resources: Click here to access online | Item type | Current location | Call number | Status | Date due | Barcode |
|---|---|---|---|---|---|
| QA274-274.9 (Browse shelf) | Available | ||||
| Long Loan | MAIN LIBRARY | QA273.A1-274.9 (Browse shelf) | Available |
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| TA1637-1638 Medical Image Computing and Computer-Assisted Intervention – MICCAI 2008 | TA1637-1638 Medical Image Computing and Computer-Assisted Intervention – MICCAI 2008 | QA273.A1-274.9 A Minicourse on Stochastic Partial Differential Equations | QA274-274.9 A Minicourse on Stochastic Partial Differential Equations | HB139-141 Dynamic Model Analysis | TK5105.5-5105.9 Managing Large-Scale Service Deployment | QA75.5-76.95 Modelling Autonomic Communications Environments |
A Primer on Stochastic Partial Differential Equations -- The Stochastic Wave Equation -- Application of Malliavin Calculus to Stochastic Partial Differential Equations -- Some Tools and Results for Parabolic Stochastic Partial Differential Equations -- Sample Path Properties of Anisotropic Gaussian Random Fields.
In May 2006, The University of Utah hosted an NSF-funded minicourse on stochastic partial differential equations. The goal of this minicourse was to introduce graduate students and recent Ph.D.s to various modern topics in stochastic PDEs, and to bring together several experts whose research is centered on the interface between Gaussian analysis, stochastic analysis, and stochastic partial differential equations. This monograph contains an up-to-date compilation of many of those lectures. Particular emphasis is paid to showcasing central ideas and displaying some of the many deep connections between the mentioned disciplines, all the time keeping a realistic pace for the student of the subject.
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