Monte Carlo Method, Random Number, And Pseudorandom Number

Author:   Hiroshi Sugita
Publisher:   Mathematical Society of Japan
Volume:   25
ISBN:  

9784931469655


Pages:   148
Publication Date:   01 May 2011
Format:   Paperback
Availability:   In Print   Availability explained
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Monte Carlo Method, Random Number, And Pseudorandom Number


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Overview

Although the Monte Carlo method is used in so many fields, its mathematical foundation has been weak until now because of the fundamental problem that a computer cannot generate random numbers. This book presents a strong mathematical formulation of the Monte Carlo method which is based on the theory of random number by Kolmogorov and others and that of pseudorandom number by Blum and others. As a result, we see that the Monte Carlo method may not need random numbers and pseudorandom numbers may suffice. In particular, for the Monte Carlo integration, there exist pseudorandom numbers which serve as complete substitutes for random numbers.Published by Mathematical Society of Japan and distributed by World Scientific Publishing Co. for all markets

Full Product Details

Author:   Hiroshi Sugita
Publisher:   Mathematical Society of Japan
Imprint:   Mathematical Society of Japan
Volume:   25
Dimensions:   Width: 17.30cm , Height: 1.00cm , Length: 24.60cm
Weight:   0.295kg
ISBN:  

9784931469655


ISBN 10:   4931469655
Pages:   148
Publication Date:   01 May 2011
Audience:   College/higher education ,  Professional and scholarly ,  Tertiary & Higher Education ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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