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Monte Carlo: Concepts, Algorithms, and Applications (Springer Series in Operations Research and Financial Enginee)

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Monte Carlo: Concepts, Algorithms, and Applications (Springer Series in Operations Research and Financial Enginee) Cover

 

Synopses & Reviews

Publisher Comments:

This volume presents a comprehensive first course in the Monte Carlo method which will be suitable for graduate and undergraduate students in the mathematical sciences and engineering, principally in operations research, statistics, mathematics, and computer science. The reader is assumed to have a sound understanding of calculus, introductory matrix analysis, probability, and intermediate statistics, but otherwise the book is self-contained. As well as a thorough exploration of the important concepts of the Monte Carlo method, the volume includes over 90 algorithms which allow the reader to move rapidly from the concepts to putting them into practice. The book also contains numerous exercises, many of them hands-on implementations of selected algorithms to demonstrate the application of these ideas in realistic settings. Software, freely available via ftp and portable across computing platforms, provides programs for pseudorandom number generation and statistical sample path data analysis. The software is suitable for use with the exercises as well as for more general applications. For professional mathematical scientists and engineers this book provides a ready reference to the Monte Carlo method, especially to implementatable algorithms for performing sampling experiments on a computer and for analyzing their results.

Synopsis:

Apart from a thorough exploration of all the important concepts, this volume includes over 75 algorithms, ready for putting into practice. The book also contains numerous hands-on implementations of selected algorithms to demonstrate applications in realistic settings. Readers are assumed to have a sound understanding of calculus, introductory matrix analysis, and intermediate statistics, but otherwise the book is self-contained. Suitable for graduates and undergraduates in mathematics and engineering, in particular operations research, statistics, and computer science.

Table of Contents

Preface * Selected Notation * 1 Introduction * 2 Estimating Volume and Count * 3 Generating Samples * 4 Increasing Efficiency * 5 Random Tours * 6 Designing and Analyzing Sample Paths * 7 Generating Pseudorandom Numbers * Author Index * Subject Index

Product Details

ISBN:
9781441928474
Author:
Fishman, George
Publisher:
Springer
Location:
New York, NY
Subject:
Operations Research
Subject:
Operations Research/Decision Theory
Subject:
Statistics for Business/Economics/Mathematical Finance/Insurance 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 des
Subject:
Business Writing
Subject:
Statistics for Business/Economics/Mathematical Finance/Insurance
Subject:
Operation Research/Decision Theory
Subject:
Economics
Subject:
Language, literature and biography
Subject:
mathematics and statistics
Subject:
Economics_xStatistics
Copyright:
Edition Description:
Softcover reprint of hardcover 1st ed. 1996
Series:
Springer Series in Operations Research and Financial Engineering
Publication Date:
20110701
Binding:
TRADE PAPER
Language:
English
Pages:
723
Dimensions:
235 x 178 mm

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Monte Carlo: Concepts, Algorithms, and Applications (Springer Series in Operations Research and Financial Enginee) New Trade Paper
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Product details 723 pages Springer - English 9781441928474 Reviews:
"Synopsis" by , Apart from a thorough exploration of all the important concepts, this volume includes over 75 algorithms, ready for putting into practice. The book also contains numerous hands-on implementations of selected algorithms to demonstrate applications in realistic settings. Readers are assumed to have a sound understanding of calculus, introductory matrix analysis, and intermediate statistics, but otherwise the book is self-contained. Suitable for graduates and undergraduates in mathematics and engineering, in particular operations research, statistics, and computer science.
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