| 書目名稱 | Computational Methods in Transport | | 副標題 | Granlibakken 2004 | | 編輯 | Frank Graziani | | 視頻video | http://file.papertrans.cn/233/232800/232800.mp4 | | 叢書名稱 | Lecture Notes in Computational Science and Engineering | | 圖書封面 |  | | 描述 | Thereexistawiderangeofapplicationswhereasigni?cantfractionofthe- mentum and energy present in a physical problem is carried by the transport of particles. Depending on the speci?capplication, the particles involved may be photons, neutrons, neutrinos, or charged particles. Regardless of which phenomena is being described, at the heart of each application is the fact that a Boltzmann like transport equation has to be solved. The complexity, and hence expense, involved in solving the transport problem can be understood by realizing that the general solution to the 3D Boltzmann transport equation is in fact really seven dimensional: 3 spatial coordinates, 2 angles, 1 time, and 1 for speed or energy. Low-order appro- mations to the transport equation are frequently used due in part to physical justi?cation but many in cases, simply because a solution to the full tra- port problem is too computationally expensive. An example is the di?usion equation, which e?ectively drops the two angles in phase space by assuming that a linear representation in angle is adequate. Another approximation is the grey approximation, which drops the energy variable by averaging over it. If the grey approxima | | 出版日期 | Conference proceedings 2006 | | 關鍵詞 | Approximation; Monte Carlo method; algorithms; astrophysics; computational physics; density; diffusion; dyn | | 版次 | 1 | | doi | https://doi.org/10.1007/3-540-28125-8 | | isbn_ebook | 978-3-540-28125-2Series ISSN 1439-7358 Series E-ISSN 2197-7100 | | issn_series | 1439-7358 | | copyright | Springer-Verlag Berlin Heidelberg 2006 |
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