High-dimensional nonlinear diffusion stochastic processes : modelling for engineering applications /

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Bibliographic Details
Author / Creator:Mamontov, Yevgeny, 1955-
Imprint:Singapore ; River Edge, NJ : World Scientific, 2001.
Description:xviii, 297 p. ; 23 cm.
Language:English
Series:Series on advances in mathematics for applied sciences ; v. 56
Subject:
Format: Print Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/4635570
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Other authors / contributors:Willander, M.
ISBN:9810243855 (alk. paper)
Notes:Includes bibliographical references (and index.
Table of Contents:
  • Ch. 1. Introductory Chapter
  • Ch. 2. Diffusion Processes
  • Ch. 3. Invariant Diffusion Processes
  • Ch. 4. Stationary Diffusion Processes
  • Ch. 5. Ito's Stochastic Partial Differential Equations as Non-Markov Models Leading to High-Dimensional Diffusion Processes
  • Ch. 6. Ito's Stochastic Partial Differential Equations for Electron Fluids in Semiconductors
  • Ch. 7. Distinguishing Features of Engineering Applications
  • Ch. 8. Analytical-Numerical Approach to Engineering Problems and Common Analytical Techniques
  • App. A. Example of Markov Processes: Solutions of the Cauchy Problems for Ordinary Differential Equation System
  • App. B. Signal-to-Noise Ratio
  • App. C. Example of Application of Corollary 1.2: Nonlinear Friction and Unbounded Stationary Probability Density of the Particle Velocity in Uniform Fluid
  • App. D. Proofs of the Theorems in Chapter 2 and Other Details
  • App. E. Proofs of the Theorems in Chapter 4
  • App. F. Hidden Randomness in Nonrandom Equation for the Particle Concentration of Uniform Fluid and Chemical-Reaction/Generation-Recombination Noise
  • App. G. Example: Eigenvalues and Eigenfunctions of the Linear Differential Operator Associated with a Bounded Domain in Three-Dimensional Space
  • App. G. Resources for Engineering Parallel Computing under Windows 95.