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Titlebook: Mesh Methods for Boundary-Value Problems and Applications; 13th International C Ildar B. Badriev,Victor Banderov,Sergey A. Lapin Conference

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書目名稱Mesh Methods for Boundary-Value Problems and Applications
副標題13th International C
編輯Ildar B. Badriev,Victor Banderov,Sergey A. Lapin
視頻videohttp://file.papertrans.cn/632/631025/631025.mp4
叢書名稱Lecture Notes in Computational Science and Engineering
圖書封面Titlebook: Mesh Methods for Boundary-Value Problems and Applications; 13th International C Ildar B. Badriev,Victor Banderov,Sergey A. Lapin Conference
描述.This book gathers papers presented at the 13th International Conference on Mesh Methods for Boundary-Value Problems and Applications, which was held in Kazan, Russia, in October 2020. The papers address the following topics: the theory of mesh methods for boundary-value problems in mathematical physics; non-linear mathematical models in mechanics and physics; algorithms for solving variational inequalities; computing science; and educational systems. Given its scope, the book is chiefly intended for students in the fields of mathematical modeling science and engineering. However, it will also benefit scientists and graduate students interested in these fields..
出版日期Conference proceedings 2022
關(guān)鍵詞numerical methods; nonlinear problems of mathematical physics; grid method; iterative methods; mathemati
版次1
doihttps://doi.org/10.1007/978-3-030-87809-2
isbn_softcover978-3-030-87811-5
isbn_ebook978-3-030-87809-2Series ISSN 1439-7358 Series E-ISSN 2197-7100
issn_series 1439-7358
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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On Exact Penalty Operators and Penalization Methods for Elliptic Unilateral Problems with Piecewise accuracy estimates of penalization methods for such obstacle problems for a wide class of penalty functions. The accuracy estimates obtained in the current paper are of the same order as known estimates for smooth obstacles.
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Design of the Best Linear Classifier for Box-Constrained Data Sets,r pseudo-separator) which really has the best estimate of its thickness. There are studied both regular and singular cases of separability arising in the theory and practice of linear classification of data sets.
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On Error Control at Numerical Solution of Forth Order Elliptic Equations with Strongly Discontinuou. the coefficients are only insignificantly worse than those at .?≡const while computation of the bounds does not require equilibration. The a posteriori error bound for the mixed Ciarlet-Raviart method incorporates, as a part of the estimator, the a posteriori error bound for the primal problem.
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