Dynamics of Stochastic Systems

✍ Scribed by V.I. Klyatskin (Auth.)

• Publisher: Elsevier
• Year: 2005
• Tongue: English
• Leaves: 198
• Edition: 1. ed
• Category: Library

✦ Synopsis

Content:
Preface, Page 1
Introduction, Pages 6-8
Chapter 1 - Examples, basic problems, peculiar features of solutions, Pages 10-29
Chapter 2 - Solution dependence on problem type, medium parameters, and initial data, Pages 30-41
Chapter 3 - Indicator function and Liouville equation, Pages 42-48
Chapter 4 - Random quantities, processes and fields, Pages 50-69
Chapter 5 - Correlation splitting, Pages 70-83
Chapter 6 - General approaches to analyzing stochastic dynamic systems, Pages 84-110
Chapter 7 - Stochastic equations with the Markovian fluctuations of parameters, Pages 111-117
Chapter 8 - Gaussian delta-correlated random field (ordinary differential equations), Pages 118-133
Chapter 9 - Methods for solving and analyzing the Fokker-Planck equation, Pages 134-152
Chapter 10 - Gaussian delta-correlated random field (causal integral equations), Pages 153-155
Chapter 11 - Passive tracer clustering and diffusion in random hydrodynamic flows, Pages 157-175
Chapter 12 - Wave localization in randomly layered media, Pages 176-199
Bibliography, Pages 200-203
Index, Pages 204-205