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Titlebook: Matrix Discrete Element Analysis of Geological and Geotechnical Engineering; Chun Liu Book 2021 Science Press 2021 Discrete Element Method

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樓主: Disaster
31#
發(fā)表于 2025-3-27 00:09:01 | 只看該作者
Matrix Discrete Element Analysis of Geological and Geotechnical Engineering
32#
發(fā)表于 2025-3-27 02:32:03 | 只看該作者
33#
發(fā)表于 2025-3-27 09:15:29 | 只看該作者
Book 2021hing videos and the relevant software can be accessed on the MATDEM website (http://matdem.com)...The book serves as a useful reference for research and engineering staff, undergraduates, and postgraduates who work in the fields of geology, geotechnical, water conservancy, civil engineering, mining,
34#
發(fā)表于 2025-3-27 13:16:38 | 只看該作者
35#
發(fā)表于 2025-3-27 17:18:08 | 只看該作者
36#
發(fā)表于 2025-3-27 19:08:20 | 只看該作者
Chun Liuf the necessary theoretical background. It is related to, but can also be used independently of the monograph P. E. Kloeden and E. Platen, Numerical Solution of Stochastic Differential Equations, Applications o978-3-540-57074-5978-3-642-57913-4Series ISSN 0172-5939 Series E-ISSN 2191-6675
37#
發(fā)表于 2025-3-28 00:14:00 | 只看該作者
Chun Liuantitativemethods, it offers ready access to a large number of potential research problems in an area that is widely applicable and rapidly expanding. Finance is chosen as the area of application because much o978-3-662-51973-8978-3-642-13694-8Series ISSN 0172-4568 Series E-ISSN 2197-439X
38#
發(fā)表于 2025-3-28 02:54:53 | 只看該作者
39#
發(fā)表于 2025-3-28 09:11:58 | 只看該作者
terial jumps and the coarse triangulation. Weonly assume that the size of the inclusions is small compared to the coarse mesh diameter. Ournumerical tests show uniform convergence rates independent of the contrast in the Young’s modulus within the heterogeneous material. Furthermore, we numerically
40#
發(fā)表于 2025-3-28 11:58:09 | 只看該作者
Chun Liuerimental study of the Monte Carlo algorithm based on . of Sobol sequences has been done. It has been proven that this algorithm has an optimal rate of convergence for functions with continuous and bounded second derivatives in terms of probability and mean square error. Extensive numerical experime
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