On Lp Theory Of Stochastic Partial Differential Systems


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On Lp Theory of Stochastic Partial Differential Systems


On Lp Theory of Stochastic Partial Differential Systems

Author: Kijung Lee

language: en

Publisher:

Release Date: 2004


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Stochastic Partial Differential Equations and Applications


Stochastic Partial Differential Equations and Applications

Author: Giuseppe Da Prato

language: en

Publisher: CRC Press

Release Date: 2002-04-05


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Based on the proceedings of the International Conference on Stochastic Partial Differential Equations and Applications-V held in Trento, Italy, this illuminating reference presents applications in filtering theory, stochastic quantization, quantum probability, and mathematical finance and identifies paths for future research in the field. Stochastic Partial Differential Equations and Applications analyzes recent developments in the study of quantum random fields, control theory, white noise, and fluid dynamics. It presents precise conditions for nontrivial and well-defined scattering, new Gaussian noise terms, models depicting the asymptotic behavior of evolution equations, and solutions to filtering dilemmas in signal processing. With contributions from more than 40 leading experts in the field, Stochastic Partial Differential Equations and Applications is an excellent resource for pure and applied mathematicians; numerical analysts; mathematical physicists; geometers; economists; probabilists; computer scientists; control, electrical, and electronics engineers; and upper-level undergraduate and graduate students in these disciplines.

A Minicourse on Stochastic Partial Differential Equations


A Minicourse on Stochastic Partial Differential Equations

Author: Robert C. Dalang

language: en

Publisher: Springer Science & Business Media

Release Date: 2009


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This title contains lectures that offer an introduction to modern topics in stochastic partial differential equations and bring together experts whose research is centered on the interface between Gaussian analysis, stochastic analysis, and stochastic PDEs.