Name: Stochastic Equations for Complex Systems: Theoretical and Computational Topics (en Inglés)
Price: 270.93 PEN
Availability: InStock
Author: Heinz, Stefan ; Bessaih, Hakima
ISBN: 9783319384504

portada Stochastic Equations for Complex Systems: Theoretical and Computational Topics (en Inglés)

Formato

Libro Físico

Editorial

Springer

Autor

Heinz, Stefan ; Bessaih, Hakima

Idioma

Inglés

N° páginas

192

Encuadernación

Tapa Blanda

Dimensiones

23.4 x 15.6 x 1.1 cm

Peso

0.29 kg.

ISBN13

9783319384504

Categorías

Probabilidad y estadística
Ingeniería mecánica
Ciencias de la computación

Stochastic Equations for Complex Systems: Theoretical and Computational Topics (en Inglés)

Heinz, Stefan ; Bessaih, Hakima (Autor) · Springer · Tapa Blanda

Libro Nuevo

S/ 270,93

S/ 541,87

Ahorras: S/ 270,93

50% descuento

Envío normal

Origen: Estados Unidos (Costos de importación incluídos en el precio)

Se enviará desde nuestra bodega entre el Lunes 22 de Julio y el Miércoles 31 de Julio.

Lo recibirás en cualquier lugar de Perú entre 2 y 5 días hábiles luego del envío.

Reseña del libro "Stochastic Equations for Complex Systems: Theoretical and Computational Topics (en Inglés)"

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.