Monte Carlo
Concepts, Algorithms and Applications

 

This is the authoritative text on the Monte Carlo method. Fishman covers the standard topics of integral estimation, variance reduction and random number generation. He also includes extensive material on simulating stochastic processes. The treatment is very formal and meticulously detailed. Numerous algorithms are presented, and references are cited extensively. The book is not an easy read. You should read Rubinstein (1981) before attempting Fishman. The book is unsurpassed as a reference. 

Contents

Introduction

Estimating Volume and Count

Generating Samples

Increasing Efficiency

Random Tours

Designing and Analyzing Sample Paths

Generating Pseudorandom Numbers

For related books, see sections:

Mathematics - Monte Carlo Method

Financial Engineering - Numerical Methods

 

 

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