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Titlebook: A Monte Carlo Primer; Volume 2 Stephen A. Dupree,Stanley K. Fraley Book 2004 Springer Science+Business Media New York 2004 Neutron.Variance

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樓主
發(fā)表于 2025-3-21 19:23:37 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱A Monte Carlo Primer
期刊簡稱Volume 2
影響因子2023Stephen A. Dupree,Stanley K. Fraley
視頻videohttp://file.papertrans.cn/142/141475/141475.mp4
圖書封面Titlebook: A Monte Carlo Primer; Volume 2 Stephen A. Dupree,Stanley K. Fraley Book 2004 Springer Science+Business Media New York 2004 Neutron.Variance
影響因子In Volume 1, A Monte Carlo Primer - A Practical Approach to Radiation Transport (the "Primer"), we attempt to provide a simple, convenient, and step-by-step approach to the development, basic understanding, and use of Monte Carlo methods in radiation transport. Using the PC, the Primer begins by developing basic Monte Carlo codes to solve simple transport problems, then introduces a teaching tool, the Probabilistic Framework Code (PFC), as a standard platform for assembling, testing, and executing the various Monte Carlo techniques that are presented. This second volume attempts to continue this approach by using both custom Monte Carlo codes and PFC to apply the concepts explained in the Primer to obtain solutions to the exercises given at the end of each chapter in the Primer. A relatively modest number of exercises is included in the Primer. Some ambiguity is left in the statement of many of the exercises because the intent is not to have the user write a particular, uniquely correct piece of coding that produces a specific number as a result, but rather to encourage the user to think about the problems and develop further the concepts explained in the text. Because in most case
Pindex Book 2004
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沙發(fā)
發(fā)表于 2025-3-21 21:55:46 | 只看該作者
and step-by-step approach to the development, basic understanding, and use of Monte Carlo methods in radiation transport. Using the PC, the Primer begins by developing basic Monte Carlo codes to solve simple transport problems, then introduces a teaching tool, the Probabilistic Framework Code (PFC),
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https://doi.org/10.1007/978-1-4419-9036-5Neutron; Variance; radiation
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發(fā)表于 2025-3-22 12:04:15 | 只看該作者
978-0-306-48503-9Springer Science+Business Media New York 2004
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https://doi.org/10.1007/978-3-319-16059-7The probability of throwing “box cars” (two sixes) with a standard pair of dice is 1/6.≈0.02778. Use Monte Carlo sampling to verify this result and to determine the probability of throwing box cars twice in a row.
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發(fā)表于 2025-3-22 20:09:13 | 只看該作者
Locally Convex Topological Vector SpacesUsing eqns 2.8P and 2.9P derive a sampling scheme for selecting the radii of points uniformly distributed over
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發(fā)表于 2025-3-22 23:01:44 | 只看該作者
https://doi.org/10.1007/978-3-319-53336-0By converting the collision density distribution of eqn 3.4P into a pdf, show that the “expected value” of the distance traveled is 1/∑..
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發(fā)表于 2025-3-23 04:30:07 | 只看該作者
https://doi.org/10.1007/978-3-319-53336-0Repeat the calculation of Example 3.1 assuming isotropic scattering in the center of mass system using A = 1, but neglect energy changes. Compare your result with that obtained assuming isotropic scattering in the L system.
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發(fā)表于 2025-3-23 05:31:22 | 只看該作者
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