Monte Carlo methods for particle transport / Alireza Haghighat
データ種別 | 電子ブック |
---|---|
版 | Second edition. |
出版者 | (Boca Raton, FL : CRC Press/Taylor & Francis Group) |
出版年 | 2021 |
大きさ | 1 online resource (xx, 289 pages) : illustrations |
所蔵情報を非表示
URL | 配架場所 | 巻 次 | 請求記号 | 登録番号 | 状 態 | コメント | ISBN | 刷 年 | 利用注記 | 予約 | 複写取寄 | 指定図書 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
URL | 研究室 |
|
510/M20 | 1181000049 |
|
9780429198397 |
|
禁帯出 特別本 |
|
書誌詳細を非表示
一般注記 | Includes bibliographical references Introduction -- Random variables and sampling -- Random number generator (RNG) -- Fundamentals of probability and statistics -- Integrals and associated variance reduction techniques -- Fixed-source Monte Carlo particle transport -- Variance reduction techniques for fixed-source particle transport -- Scoring/tallying -- Geometry and particle tracking -- Eigenvalue (criticality) Monte Carlo method for particle transport -- Fission matrix methods for eigenvalue Monte Carlo simulation -- Vector and parallel processing of Monte Carlo particle transport -- Appendices. Integer operations on a binary computer -- Derivation of a formulation for the scattering direction in a 3-D domain -- Solid angle formulation -- Energy-dependent neutron-nuclear interactions in Monte Carlo simulation -- Shannon entropy "Fully updated with the latest developments in the eigenvalue Monte Carlo calculations and automatic variance reduction techniques and containing an entirely new chapter on fission matrix and alternative hybrid techniques. This second edition explores the uses of the Monte Carlo method for real-world applications, explaining its concepts and limitations. Featuring illustrative examples, mathematical derivations, computer algorithms, and homework problems, it is an ideal textbook and practical guide for nuclear engineers and scientists looking into the applications of the Monte Carlo method, in addition to students in physics and engineering, and those engaged in the advancement of the Monte Carlo methods"--Publisher's description Dr. Alireza Haghighat is professor and Director of Nuclear Engineering Program, Virginia Tech. He is a fellow of the American Nuclear Society. He has made pioneering contributions to the development of accurate and efficient deterministic, stochastic, and hybrid particle transport theory methods and their application to complex problems in nuclear reactors, nuclear security and radiation diagnosis and therapy Online resource; title from resource home page (ProQuest Ebook Central, viewed February 15, 2021) OCLC control number change HTTP:URL=https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=2451420 Information=EBSCOhost |
---|---|
著者標目 | *Haghighat, Alireza author |
件 名 | LCSH:Monte Carlo method LCSH:Particles (Nuclear physics) -- Mathematical models 全ての件名で検索 LCSH:Radiative transfer LCSH:Transport theory FREE:MATHEMATICS -- Probability & Statistics -- General 全ての件名で検索 FREE:SCIENCE -- Energy 全ての件名で検索 FREE:SCIENCE -- Nuclear Physics 全ての件名で検索 FREE:Monte Carlo method FREE:Transport theory FREE:Particles (Nuclear physics) -- Mathematical models 全ての件名で検索 FREE:Radiative transfer FREE:Electronic books |
分 類 | LCC:QC20.7.M65 DC23:518/.282 |
書誌ID | EB00003526 |
ISBN | 9780429582202 |
類似資料
この資料を見た人はこんな資料も見ています
この資料の利用統計
このページへのアクセス回数:473回