Spectral Models of Random Fields in Monte Carlo Methods

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? 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 Sprache: Englisch Gewicht in Gramm: 489.