Numerical Modelling of Random Processes and Fields : : Algorithms and Applications / / V. A. Ogorodnikov, S. M. Prigarin.
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| Superior document: | Title is part of eBook package: De Gruyter DGBA Mathematics - 1990 - 1999 |
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| VerfasserIn: | |
| Place / Publishing House: | Berlin ;, Boston : : De Gruyter, , [2018] ©1996 |
| Year of Publication: | 2018 |
| Edition: | Reprint 2018 |
| Language: | English |
| Online Access: | |
| Physical Description: | 1 online resource (240 p.) :; Zahlr. Abb. |
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Table of Contents:
- Frontmatter
- 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