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Springer Numerical Integration of Stochastic Differential Equations

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Description

Explore the application of stochastic differential equations for modeling systems that function under random perturbations. This volume, part of the Mathematics and Its Applications series (313), examines how these equations serve as fundamental objects in modern control theory and mathematical physics. Because problems in mathematical physics often involve high dimensions that create difficulties in solving boundary value problems, stochastic equations provide a way out. The solutions offered through these methods help address the complexities found in scientific modeling and physical systems. This text is an essential resource for those studying the connection between stochastic processes and mathematical physics.

Key Features

Part of the Mathematics and Its Applications series, volume 313 by Springer.

Covers the use of stochastic differential equations to model systems with random perturbations.

Explores the strong connections between stochastic equations and mathematical physics.

Provides methods to address difficulties in solving boundary value problems in high dimensions.

Applicable to the study of modern control theory and complex mathematical systems.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
30 November 1994
Listed Since
15 February 2007

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No barcode data available

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