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Titlebook: Numerical Methods for Ordinary Differential Equations; Proceedings of the W Alfredo Bellen,Charles W. Gear,Elvira Russo Conference proceedi

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书目名称Numerical Methods for Ordinary Differential Equations
副标题Proceedings of the W
编辑Alfredo Bellen,Charles W. Gear,Elvira Russo
视频video
丛书名称Lecture Notes in Mathematics
图书封面Titlebook: Numerical Methods for Ordinary Differential Equations; Proceedings of the W Alfredo Bellen,Charles W. Gear,Elvira Russo Conference proceedi
出版日期Conference proceedings 1989
关键词difference equation; differential equation; integral; iteration; numerical method; ordinary differential
版次1
doihttps://doi.org/10.1007/BFb0089227
isbn_softcover978-3-540-51478-7
isbn_ebook978-3-540-48144-7Series ISSN 0075-8434 Series E-ISSN 1617-9692
issn_series 0075-8434
copyrightSpringer-Verlag Berlin Heidelberg 1989
The information of publication is updating

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发表于 2025-3-21 22:36:46 | 显示全部楼层
C. W. Gearxhibit high or unusual electrical conductivities..By classifying and comprehensively reviewing the structural data available, we hope to provide a firmer basis for improving the understanding of the relation between the physical properties and the structural features of these compounds.
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1 by Richtmyer. This method can be described in a simple way as the deterministic version of a Monte Carlo method in the sense that the random samples in the Monte Carlo method are replaced by well-selected deterministic points.
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Stability in linear abstract differential equations,
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Parallelism across the steps for difference and differential equations,
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L. F. Shampine problem is a Blaschke product, namely z z. )mi n u(z) = all = l~ (2) J ( Z+ Zj where [o] = 1, and the zj‘s are the given zeros with given multiplicities mj. Here the necessary and sufficient condition for existence of such u(z) is that zp :f: - Zq for 1~ ]1, q~ n.978-3-0348-5471-9978-3-0348-5469-6Series ISSN 0255-0156 Series E-ISSN 2296-4878
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A comparative study of Chebyshev acceleration and residue smoothing in the solution of nonlinear elt of the iteration process. Another feature of residue smoothing is that it is directly applicable to nonlinear problems without affecting the algorithmic complexity. Moreover, the simplicity of the method offers excellent prospects for execution on vector and parallel computers.
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