<電子ブック>
Monte Carlo : Concepts, Algorithms, and Applications / by George Fishman
(Springer Series in Operations Research and Financial Engineering. ISSN:21971773)
版 | 1st ed. 1996. |
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出版者 | (New York, NY : Springer New York : Imprint: Springer) |
出版年 | 1996 |
本文言語 | 英語 |
大きさ | XXV, 698 p. 20 illus : online resource |
著者標目 | *Fishman, George author SpringerLink (Online service) |
件 名 | LCSH:Mathematics LCSH:Operations research LCSH:Statistics FREE:Applications of Mathematics FREE:Operations Research and Decision Theory FREE:Statistics in Business, Management, Economics, Finance, Insurance |
一般注記 | 1 Introduction -- 2 Estimating Volume and Count -- 3 Generating Samples -- 4 Increasing Efficiency -- 5 Random Tours -- 7 Generating Pseudorandom Numbers -- Author Index This book provides an introduction to the Monte Carlo method suitable for a one-or two-semester course for graduate and advanced undergraduate students in the mathematical and engineering sciences. It also can serve as a reference for the professional analyst. In the past, my inability to provide students with a single source book on this topic for class and for later professional reference had left me repeatedly frustrated, and eventually motivated me to write this book. In addition to focused accounts of major topics, the book has two unifying themes: One concerns the effective use of information and the other concerns error control and reduction. The book describes how to incorporate information about a problem into a sampling plan in a way that reduces the cost of estimating its solution to within a specified error bound. Although exploiting special structures to reduce cost long has been a hallmark of the Monte Carlo method, the propen sity of users of the method to discard useful information because it does not fit traditional textbook models repeatedly has impressed me. The present account aims at reducing the impediments to integrating this information. Errors, both statistical and computational, abound in every Monte Carlo sam pling experiment, and a considerable methodology exists for controlling them HTTP:URL=https://doi.org/10.1007/978-1-4757-2553-7 |
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電子ブック | 配架場所 | 資料種別 | 巻 次 | 請求記号 | 状 態 | 予約 | コメント | ISBN | 刷 年 | 利用注記 | 指定図書 | 登録番号 |
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電子ブック | オンライン | 電子ブック |
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Springer eBooks | 9781475725537 |
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EB00227785 |
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