Stochastic Equations for Complex Systems

. Ed(s): Heinz, Stefan; Bessaih, Hakima

ISBN 10: 3319384503 / ISBN 13: 9783319384504

Editore: Springer International Publishing AG, 2016

Editor(s): Heinz, Stefan; Bessaih, Hakima. Series: Mathematical Engineering. Num Pages: 199 pages, 9 black & white illustrations, 33 colour illustrations, biography. BIC Classification: GPFC; PBT; PBWR; PDE; TGMF. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 11. Weight in Grams: 314. . 2016. Softcover reprint of the original 1st ed. 2015. Paperback. . . . . Books ship from the US and Ireland. Codice articolo V9783319384504

Riassunto:

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.

Dalla quarta di copertina:

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.

Dati bibliografici

Titolo: Stochastic Equations for Complex Systems
Casa editrice: Springer International Publishing AG
Data di pubblicazione: 2016
Legatura: Brossura
Condizione: New