Stochastic Simulation: Algorithms and Analysis

Søren Asmussen · Peter W. Glynn

thg 7 2007 · Stochastic Modelling and Applied Probability Sách 57 · Springer Science & Business Media

Giới thiệu về sách điện tử này

Sampling-based computational methods have become a fundamental part of the numerical toolset of practitioners and researchers across an enormous number of different applied domains and academic disciplines. This book provides a broad treatment of such sampling-based methods, as well as accompanying mathematical analysis of the convergence properties of the methods discussed. The reach of the ideas is illustrated by discussing a wide range of applications and the models that have found wide usage. Given the wide range of examples, exercises and applications students, practitioners and researchers in probability, statistics, operations research, economics, finance, engineering as well as biology and chemistry and physics will find the book of value.