Spectral Models of Random Fields in Monte Carlo Methods / / S. M. Prigarin.

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Bibliographic Details
Superior document:Title is part of eBook package: De Gruyter DGBA Backlist Complete English Language 2000-2014 PART2
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Place / Publishing House:Berlin ;, Boston : : De Gruyter, , [2019]
©2001
Year of Publication:2019
Edition:Reprint 2018
Language:English
Online Access:
Physical Description:1 online resource (198 p.)
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Description
Other title:Frontmatter --
Preface --
Contents --
Chapter 1. Approximate Modelling of Homogeneous Gaussian Fields on the Basis of Spectral Decomposition --
Chapter 2. Spectral Models for Vector-Valued Fields --
Chapter 3. Convergence of Spectral Models of Random Fields in Monte Carlo Methods --
Chapter 4. On Optimization and Convergence of Functional Monte Carlo Estimators --
Appendix A. Gaussian Distributions: Properties and Simulation --
Appendix Β. Solution of Boundary Value Problems for Linear Systems of Stochastic Differential Equations --
Appendix C. On Interpolation of Positive Definite Functions and Stationary Random Sequences --
Appendix D. Coding of Multiplicative Pseudorandom Number Generators --
Bibliography --
Notation --
Index
Format:Mode of access: Internet via World Wide Web.
ISBN:9783110941982
9783110238563
9783110238471
9783110637205
DOI:10.1515/9783110941982
Access:restricted access
Hierarchical level:Monograph
Statement of Responsibility: S. M. Prigarin.