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
Autorius: | S. M. Prigarin, V. A. Ogorodnikov, |
Leidėjas: | De Gruyter |
Išleidimo metai: | 1996 |
Knygos puslapių skaičius: | 252 |
ISBN-10: | 3110460548 |
ISBN-13: | 9783110460544 |
Formatas: | Knyga kietu viršeliu |
Kalba: | Anglų |
Žanras: | Numerical analysis |
Parašykite atsiliepimą apie „Numerical Modelling of Random Processes and Fields: Algorithms and Applications“