Numerical Modelling of Random Processes and Fields: Algorithms and Applications

✍ Scribed by V. A. Ogorodnikov; S. M. Prigarin

Publisher: De Gruyter
Year: 1996
Tongue: English
Leaves: 252
Edition: Reprint 2018
Category: Library

No coin nor oath required. For personal study only.

✦ Table of Contents

Preface
Contents
1. Statistical simulation of discrete Gaussian processes and fields with a given correlation structure
2. Spectral models of Gaussian random fields
3. Numerical models of non-Gaussian processes and fields
4. Convergence of numerical models of random fields in Monte Carlo method
5. Simulation of random fields in stochastic problems of the atmosphere - ocean optics
6. Hydrometeorological applications of statistical simulation methods
Appendix 1. Synopsis of the theory of stochastic processes
Appendix 2. On correspondence between discrete and continuous linear homogeneous stochastic models
Appendix 3. Coding of multiplicative generators of pseudorandom numbers
References

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