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Stochastic equations for complex sys...

Heinz, Stefan.

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Stochastic equations for complex systems = theoretical and computational topics /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Stochastic equations for complex systems/ edited by Stefan Heinz, Hakima Bessaih.
Reminder of title:	theoretical and computational topics /
other author:	Heinz, Stefan.
Published:	Cham :Springer International Publishing : : 2015.,
Description:	vii, 192 p. :ill., digital ;24 cm.
[NT 15003449]:	Stochastic differential equations -- Malliavin Calculus -- Monte Carlo methods -- Multiscale models -- Molecular dynamics -- Stochastic methods for turbulent flows.
Contained By:	Springer eBooks
Subject:	Stochastic integral equations. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-18206-3
ISBN:	9783319182063 (electronic bk.)

Stochastic equations for complex systems = theoretical and computational topics /
Stochastic equations for complex systemstheoretical and computational topics /[electronic resource] :edited by Stefan Heinz, Hakima Bessaih. - Cham :Springer International Publishing :2015. - vii, 192 p. :ill., digital ;24 cm. - Mathematical engineering,2192-4732. - Mathematical engineering..

Stochastic differential equations -- Malliavin Calculus -- Monte Carlo methods -- Multiscale models -- Molecular dynamics -- Stochastic methods for turbulent flows.

Mathematical analyses and computational predictions of the behavior of complex systems are needed to effectively deal with weather and climate predictions, for example, and the optimal design of technical processes. Given the random nature of such systems and the recognized relevance of randomness, the equations used to describe such systems usually need to involve stochastics. The basic goal of this book is to introduce the mathematics and application of stochastic equations used for the modeling of complex systems. A first focus is on the introduction to different topics in mathematical analysis. A second focus is on the application of mathematical tools to the analysis of stochastic equations. A third focus is on the development and application of stochastic methods to simulate turbulent flows as seen in reality. This book is primarily oriented towards mathematics and engineering PhD students, young and experienced researchers, and professionals working in the area of stochastic differential equations and their applications. It contributes to a growing understanding of concepts and terminology used by mathematicians, engineers, and physicists in this relatively young and quickly expanding field.

ISBN: 9783319182063 (electronic bk.)

Standard No.: 10.1007/978-3-319-18206-3doiSubjects--Topical Terms:

705200
Stochastic integral equations.

LC Class. No.: QA274.27

Dewey Class. No.: 519.2

Stochastic equations for complex systems = theoretical and computational topics /
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245 0 0 $a Stochastic equations for complex systems $h [electronic resource] : $b theoretical and computational topics / $c edited by Stefan Heinz, Hakima Bessaih.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2015.
300 $a vii, 192 p. : $b ill., digital ; $c 24 cm.
490 1 $a Mathematical engineering, $x 2192-4732
505 0 $a Stochastic differential equations -- Malliavin Calculus -- Monte Carlo methods -- Multiscale models -- Molecular dynamics -- Stochastic methods for turbulent flows.
520 $a Mathematical analyses and computational predictions of the behavior of complex systems are needed to effectively deal with weather and climate predictions, for example, and the optimal design of technical processes. Given the random nature of such systems and the recognized relevance of randomness, the equations used to describe such systems usually need to involve stochastics. The basic goal of this book is to introduce the mathematics and application of stochastic equations used for the modeling of complex systems. A first focus is on the introduction to different topics in mathematical analysis. A second focus is on the application of mathematical tools to the analysis of stochastic equations. A third focus is on the development and application of stochastic methods to simulate turbulent flows as seen in reality. This book is primarily oriented towards mathematics and engineering PhD students, young and experienced researchers, and professionals working in the area of stochastic differential equations and their applications. It contributes to a growing understanding of concepts and terminology used by mathematicians, engineers, and physicists in this relatively young and quickly expanding field.
650 0 $a Stochastic integral equations. $3 705200
650 1 4 $a Mathematics. $3 515831
650 2 4 $a Probability Theory and Stochastic Processes. $3 891080
650 2 4 $a Engineering Fluid Dynamics. $3 891349
650 2 4 $a Computational Science and Engineering. $3 893018
650 2 4 $a Nonlinear Dynamics. $3 608190
650 2 4 $a Complexity. $3 893807
700 1 $a Heinz, Stefan. $3 2153293
700 1 $a Bessaih, Hakima. $3 2153294
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Mathematical engineering. $3 2055144
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-18206-3
950 $a Engineering (Springer-11647)