This volume systematically introduces a number of stochastic methods used by researchers in the community in a tutorial way and presents methodologies for spatially and temporally stationary as well as nonstationary flows. The author compiles a number of well-known results and useful formulae and includes exercises at the end of each chapter.
- Balanced viewpoint of several stochastic methods, including Greens' function, perturbative expansion, spectral, Feynman diagram, adjoint state, Monte Carlo simulation, and renormalization group methods
- Tutorial style of presentation will facilitate use by readers without a prior in-depth knowledge of Stochastic processes
- Practical examples throughout the text
- Exercises at the end of each chapter reinforce specific concepts and techniques
- For the reader who is interested in hands-on experience, a number of computer codes are included and discussed
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