num_pages: 490
description: 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. The first half of the book focuses on general methods; the second half discusses model-specific algorithms. Exercises and illustrations are included.
language: English
title: Stochastic Simulation: Algorithms and Analysis
titlecomplete: Stochastic Simulation: Algorithms and Analysis (Stochastic Modelling and Applied Probability, No. 57)
ratings_count: 5
publisher: Springer