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Titlebook: Numerical Methods and Applications; 8th International Co Ivan Dimov,Stefka Fidanova,Ivan Lirkov Conference proceedings 2015 Springer Intern

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發(fā)表于 2025-3-21 18:51:24 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Numerical Methods and Applications
副標題8th International Co
編輯Ivan Dimov,Stefka Fidanova,Ivan Lirkov
視頻videohttp://file.papertrans.cn/670/669043/669043.mp4
概述Includes supplementary material:
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Numerical Methods and Applications; 8th International Co Ivan Dimov,Stefka Fidanova,Ivan Lirkov Conference proceedings 2015 Springer Intern
描述This book constitutes the thoroughly refereed post-conference proceedings of the 8th International Conference on Numerical Methods and Applications, NMA 2014, held in Borovets, Bulgaria, in August 2014. The 34 revised full papers presented were carefully reviewed and selected from 56 submissions for inclusion in this book. The papers are organized in the following topical sections: Monte Carlo and quasi-Monte Carlo methods; metaheuristics for optimization problems; advanced numerical methods for scientific computing; advanced numerical techniques for PDEs and applications; solving large engineering and scientific problems with advanced mathematical models; numerical simulations and back analysis in civil and mechanical engineering.
出版日期Conference proceedings 2015
關鍵詞Approximation Techniques in Numerical Analysis; Computational Mechanics; Computational Physics, Chemis
版次1
doihttps://doi.org/10.1007/978-3-319-15585-2
isbn_softcover978-3-319-15584-5
isbn_ebook978-3-319-15585-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing Switzerland 2015
The information of publication is updating

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發(fā)表于 2025-3-22 00:14:03 | 只看該作者
Optimized Particle Regeneration Scheme for the Wigner Monte Carlo Method distribution over the spatial domain represented by the cell introduces a ‘numerical diffusion’ which artificially propagates particles simply through the process of regeneration. An optimized regeneration scheme is proposed, which counteracts this effect of ‘numerical diffusion’ in an efficient manner.
板凳
發(fā)表于 2025-3-22 01:50:16 | 只看該作者
Numerical Homogenization of Epoxy-Clay Composite Materialsct to the principle directions of anisotropy (PDA) which gives a canonical (unique) representation of the material properties. Numerical upscaling results are shown. The voxel microstructure of the two-phase composite material is extracted from a high resolution computed tomography image.
地板
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0302-9743 ce on Numerical Methods and Applications, NMA 2014, held in Borovets, Bulgaria, in August 2014. The 34 revised full papers presented were carefully reviewed and selected from 56 submissions for inclusion in this book. The papers are organized in the following topical sections: Monte Carlo and quasi-
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發(fā)表于 2025-3-22 14:53:26 | 只看該作者
Hierarchical Topology in Parallel Differential Evolutionce of these parameters setting is also studied. The performance of HDE algorithm is compared with non-parallel DE algorithm on CEC2013 benchmark suite. Experimental results show that the HDE outperforms the non-parallel DE algorithm significantly in 27 out of 28 test problems.
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發(fā)表于 2025-3-22 20:25:14 | 只看該作者
A Semi-numerical Approach to Radiation Boundary Conditionsculations. The accuracy of the presented model was verified by comparing the simulation results with the exact solution for dipole and loop antennas radiation problem. The examples are based on a finite difference scheme but finite element methods can also be used.
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發(fā)表于 2025-3-23 04:17:57 | 只看該作者
Spectral Analysis of Geometric Multigrid Methods for Isogeometric Analysise it. We perform both classical local Fourier analysis as well as a numerical spectral analysis of the two-grid method to gain better understanding of the underlying problems and observe that classical smoothers do not perform well in the isogeometric setting.
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發(fā)表于 2025-3-23 07:23:20 | 只看該作者
Conference proceedings 2015imization problems; advanced numerical methods for scientific computing; advanced numerical techniques for PDEs and applications; solving large engineering and scientific problems with advanced mathematical models; numerical simulations and back analysis in civil and mechanical engineering.
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