Comprehensive self-contained account of the Monte Carlo method by one of the subject's leading experts. Contains numerous examples from different fields of application and many exercises designed to provide students with hands-on experience in implementing algorithms.

Monte Carlo methods are widely used techniques, with applications in operations research, engineering, and computing The author covers all of the most important techniques of the Monte Carlo method It demonstrates how to analyze the sampling results with a computer, including over 75 readily implementable algorithms

Zusammenfassung
Apart from a thorough exploration of all the important concepts, this volume includes over 75 algorithms, ready for putting into practice. Readers are assumed to have a sound understanding of calculus, introductory matrix analysis, and intermediate statistics, but otherwise the book is self-contained.

Inhalt
1 Introduction.- 2 Estimating Volume and Count.- 3 Generating Samples.- 4 Increasing Efficiency.- 5 Random Tours.- 7 Generating Pseudorandom Numbers.- Author Index.