Mathematical Analysis Of Random Phenomena


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Mathematical Analysis Of Random Phenomena - Proceedings Of The International Conference


Mathematical Analysis Of Random Phenomena - Proceedings Of The International Conference

Author: Ana Bela Cruzeiro

language: en

Publisher: World Scientific

Release Date: 2007-04-04


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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 specially investigated by various contributors to the volume.

Random Phenomena


Random Phenomena

Author: Babatunde A. Ogunnaike

language: en

Publisher: CRC Press

Release Date: 2009-09-21


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Many of the problems that engineers face involve randomly varying phenomena of one sort or another. However, if characterized properly, even such randomness and the resulting uncertainty are subject to rigorous mathematical analysis. Taking into account the uniquely multidisciplinary demands of 21st-century science and engineering, Random Phenomena

Mathematical Analysis of Random Phenomena


Mathematical Analysis of Random Phenomena

Author: Ana Bela Ferreira Cruzeiro

language: en

Publisher: World Scientific

Release Date: 2007


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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 specially investigated by various contributors to the volume.