Stochastic Equations for Complex Systems Theoretical and Computational Topics /

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,...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Heinz, Stefan (Επιμελητής έκδοσης), Bessaih, Hakima (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2015.
Σειρά:Mathematical Engineering,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
LEADER 03326nam a22005655i 4500
001 978-3-319-18206-3
003 DE-He213
005 20151029221053.0
007 cr nn 008mamaa
008 150506s2015 gw | s |||| 0|eng d
020 |a 9783319182063  |9 978-3-319-18206-3 
024 7 |a 10.1007/978-3-319-18206-3  |2 doi 
040 |d GrThAP 
050 4 |a QA273.A1-274.9 
050 4 |a QA274-274.9 
072 7 |a PBT  |2 bicssc 
072 7 |a PBWL  |2 bicssc 
072 7 |a MAT029000  |2 bisacsh 
082 0 4 |a 519.2  |2 23 
245 1 0 |a Stochastic Equations for Complex Systems  |h [electronic resource] :  |b Theoretical and Computational Topics /  |c edited by Stefan Heinz, Hakima Bessaih. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2015. 
300 |a VII, 192 p. 42 illus., 33 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
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 Mathematics. 
650 0 |a Computer mathematics. 
650 0 |a Probabilities. 
650 0 |a Statistical physics. 
650 0 |a Complexity, Computational. 
650 0 |a Fluid mechanics. 
650 1 4 |a Mathematics. 
650 2 4 |a Probability Theory and Stochastic Processes. 
650 2 4 |a Engineering Fluid Dynamics. 
650 2 4 |a Computational Science and Engineering. 
650 2 4 |a Nonlinear Dynamics. 
650 2 4 |a Complexity. 
700 1 |a Heinz, Stefan.  |e editor. 
700 1 |a Bessaih, Hakima.  |e editor. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783319182056 
830 0 |a Mathematical Engineering,  |x 2192-4732 
856 4 0 |u http://dx.doi.org/10.1007/978-3-319-18206-3  |z Full Text via HEAL-Link 
912 |a ZDB-2-ENG 
950 |a Engineering (Springer-11647)