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Titlebook: Domain Decomposition Methods in Science and Engineering XVI; Olof B. Widlund,David E. Keyes Conference proceedings 2007 Springer-Verlag Be

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書(shū)目名稱Domain Decomposition Methods in Science and Engineering XVI
編輯Olof B. Widlund,David E. Keyes
視頻videohttp://file.papertrans.cn/283/282493/282493.mp4
叢書(shū)名稱Lecture Notes in Computational Science and Engineering
圖書(shū)封面Titlebook: Domain Decomposition Methods in Science and Engineering XVI;  Olof B. Widlund,David E. Keyes Conference proceedings 2007 Springer-Verlag Be
描述.Domain decomposition is an active, interdisciplinary research area concerned with the development, analysis, and implementation of coupling and decoupling strategies in mathematical and computational models of natural and engineered systems. Since the advent of hierarchical distributed memory computers, it has been motivated by considerations of concurrency and locality in a wide variety of large-scale problems, continuous and discrete. Historically, it emerged from the analysis of partial differential equations, beginning with the work of Schwarz in 1870. The present volume sets forth new contributions in areas of numerical analysis, computer science, scientific and industrial applications, and software development..
出版日期Conference proceedings 2007
關(guān)鍵詞Natur; Software; computer; computer science; development; numerical analysis; science
版次1
doihttps://doi.org/10.1007/978-3-540-34469-8
isbn_softcover978-3-540-34468-1
isbn_ebook978-3-540-34469-8Series ISSN 1439-7358 Series E-ISSN 2197-7100
issn_series 1439-7358
copyrightSpringer-Verlag Berlin Heidelberg 2007
The information of publication is updating

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1439-7358 and decoupling strategies in mathematical and computational models of natural and engineered systems. Since the advent of hierarchical distributed memory computers, it has been motivated by considerations of concurrency and locality in a wide variety of large-scale problems, continuous and discrete
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https://doi.org/10.1007/978-3-031-57176-3perties of the iteration operator [6]. We show how to evaluate the best relaxation parameter and what is the influence of patches size on the convergence of the method. Several numerical results in 2D and 3D are presented.
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Fallstudie II Enterprise Risk Management. We distinguish approaches that solve the eigenproblem algebraically (with minimal connections to the underlying partial differential equation) from approaches that couple tightly the eigensolver with the partial differential equation.
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