Description

Book Synopsis
This unique volume introduces the reader to the mathematical language for complex systems and is ideal for students who are starting out in the study of stochastical dynamical systems. Unlike other books in the field, it covers a broad array of stochastic and statistical methods.

Table of Contents
From the Contents:
Stochastic Processes and Complex Systems/
Random Variables/
Analysis of Stationary Data/
Deduction of
Models from Data/
Classification Methods/
Basic Equations for Stochastic Processes/
Master Equations/
Numerical Methods for the Solution of Master Equations/
Stochastic Differential Equations: Analytical
Procedures/
Numerical Methods for Stochastic Differential Equations/
Functional Integrals in Stochastics/
Perturbation Theory and Approximations that Go Further/
Time Series/
Linear Models for Stochastic
Processes

Stochastic Dynamical Systems

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    A Hardback by Josef Honerkamp

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      Book details

      Publisher John Wiley & Sons Inc
      Published 12 November 1993
      ISBN-13 9780471188346
      978-0471188346
      ISBN-10 0471188344
      Also in:
      Mathematics Classical mechanics

      Description

      Book Synopsis
      This unique volume introduces the reader to the mathematical language for complex systems and is ideal for students who are starting out in the study of stochastical dynamical systems. Unlike other books in the field, it covers a broad array of stochastic and statistical methods.

      Table of Contents
      From the Contents:
      Stochastic Processes and Complex Systems/
      Random Variables/
      Analysis of Stationary Data/
      Deduction of
      Models from Data/
      Classification Methods/
      Basic Equations for Stochastic Processes/
      Master Equations/
      Numerical Methods for the Solution of Master Equations/
      Stochastic Differential Equations: Analytical
      Procedures/
      Numerical Methods for Stochastic Differential Equations/
      Functional Integrals in Stochastics/
      Perturbation Theory and Approximations that Go Further/
      Time Series/
      Linear Models for Stochastic
      Processes

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