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Simulation and the Monte Carlo by Reuven Y. Rubinstein - Hardcover - VERY GOOD

US $24.95
ApproximatelyRM 105.69
Condition:
Very Good
(See Photos) Has the previous owners name written on the first page, but there are no other markings ... Read moreabout condition
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eBay item number:317129960839

Item specifics

Condition
Very Good
A book that has been read but is in excellent condition. No obvious damage to the cover, with the dust jacket included for hard covers. No missing or damaged pages, no creases or tears, and no underlining/highlighting of text or writing in the margins. May be very minimal identifying marks on the inside cover. Very minimal wear and tear. See all condition definitionsopens in a new window or tab
Seller Notes
“(See Photos) Has the previous owners name written on the first page, but there are no other ...
Brand
Unbranded
Book Title
Simulation and the Monte Carlo
MPN
Does not apply
ISBN
9780471089179

About this product

Product Identifiers

Publisher
Wiley & Sons, Incorporated, John
ISBN-10
0471089176
ISBN-13
9780471089179
eBay Product ID (ePID)
399081

Product Key Features

Number of Pages
304 Pages
Publication Name
Simulation and the Monte Carlo Method
Language
English
Subject
Probability & Statistics / General, Computer Simulation
Publication Year
1981
Type
Textbook
Author
Reuven Y. Rubinstein
Subject Area
Mathematics, Computers
Series
Wiley Series in Probability and Statistics Ser.
Format
Hardcover

Dimensions

Item Height
1 in
Item Weight
21 Oz
Item Length
9.3 in
Item Width
6.3 in

Additional Product Features

Intended Audience
Scholarly & Professional
LCCN
81-001873
Dewey Edition
22
Series Volume Number
16
Illustrated
Yes
Dewey Decimal
518.282
Table Of Content
Systems, Models, Simulation and the Monte Carlo Method. Random Number Generation. Random Variate Generation. Monte Carlo Integration and Variance Reduction Techniques. Linear Equations and Markov Chains. Regenerative Method for Simulation Analysis. Monte Carlo Optimization. Appendix. Exercises. References. Index.
Synopsis
This book provides the first simultaneous coverage of the statistical aspects of simulation and Monte Carlo methods, their commonalities and their differences for the solution of a wide spectrum of engineering and scientific problems. It contains standard material usually considered in Monte Carlo simulation as well as new material such as variance reduction techniques, regenerative simulation, and Monte Carlo optimization.
LC Classification Number
QA298

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