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Stochastic Equations for Complex Systems - Theoretical and Computational Topics (Hardcover, 2015 ed.): Stefan Heinz, Hakima... Stochastic Equations for Complex Systems - Theoretical and Computational Topics (Hardcover, 2015 ed.)
Stefan Heinz, Hakima Bessaih
R2,719 R1,898 Discovery Miles 18 980 Save R821 (30%) Ships in 12 - 17 working days

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.

Stochastic Equations for Complex Systems - Theoretical and Computational Topics (Paperback, Softcover reprint of the original... Stochastic Equations for Complex Systems - Theoretical and Computational Topics (Paperback, Softcover reprint of the original 1st ed. 2015)
Stefan Heinz, Hakima Bessaih
R1,539 Discovery Miles 15 390 Ships in 10 - 15 working days

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.

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