V. A. Ogorodnikov, S. M. Prigarin

Numerical Modelling of Random Processes and Fields (eBook, PDF)

Algorithms and Applications

• Format: PDF

Produktbeschreibung

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

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Produktdetails

• Verlag: De Gruyter
• Seitenzahl: 250
• Erscheinungstermin: 5. November 2018
• Englisch
• ISBN-13: 9783110941999
• Artikelnr.: 56304891

Inhaltsangabe

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