Stochastic Partial Differential Equations - A Modeling, White Noise Functional Approach (Paperback, Softcover reprint of the original 1st ed. 1996)

This book is based on research that, to a large extent, started around 1990, when a research project on fluid flow in stochastic reservoirs was initiated by a group including some of us with the support of VISTA, a research coopera tion between the Norwegian Academy of Science and Letters and Den norske stats oljeselskap A.S. (Statoil). The purpose of the project was to use stochastic partial differential equations (SPDEs) to describe the flow of fluid in a medium where some of the parameters, e.g., the permeability, were stochastic or "noisy." We soon realized that the theory of SPDEs at the time was insufficient to handle such equations. Therefore it became our aim to develop a new mathematically rigorous theory that satisfied the following conditions. 1) The theory should be physically meaningful and realistic, and the corre sponding solutions should make sense physically and should be useful in applications. 2) The theory should be general enough to handle many of the interesting SPDEs that occur in reservoir theory and related areas. 3) The theory should be strong and efficient enough to allow us to solve th, se SPDEs explicitly, or at least provide algorithms or approximations for the solutions."

General

Imprint:	Birkhauser Boston
Country of origin:	United States
Series:	Probability and Its Applications
Release date:	June 2012
First published:	1996
Authors:	Helge Holden • Bernt Oksendal • Jan Uboe • Tusheng Zhang
Dimensions:	235 x 155 x 13mm (L x W x T)
Format:	Paperback
Pages:	231
Edition:	Softcover reprint of the original 1st ed. 1996
ISBN-13:	978-1-4684-9217-0
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Science & Mathematics > Physics > General Books > Science & Mathematics > Mathematics > Calculus & mathematical analysis > Differential equations Books > Science & Mathematics > Mathematics > Applied mathematics > General
LSN:	1-4684-9217-9
Barcode:	9781468492170

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