Hierarchical Matrices : A Means to Efficiently Solve Elliptic Boundary Value Problems

Hierarchical matrices are an efficient framework for large-scale fully populated matrices arising, e.g., from the finite element discretization of solution operators of elliptic boundary value problems. In addition to storing such matrices, approximations of the usual matrix operations can be comput...

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Главный автор: Bebendorf, Mario
Формат: Livre numérique
Язык:Anglais
Опубликовано: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
Редактирование:1st ed. 2008.
Серии:Lecture Notes in Computational Science and Engineering 63
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Примечание: L'impression du document génère 302 p.
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Edition sous un autre format:• Hierarchical matrices, a means to efficiently solve elliptic boundary value problems, with 45 figures and 53 tables, Mario Bebendorf, Berlin, Springer, 2008, 1 vol. (xvi-290 p.), Lecture Notes in Computational Science and Engineering, 978-3-540-77146-3
• Hierarchical Matrices, Texte imprimé, 9783540869931
• Hierarchical matrices, a means to efficiently solve elliptic boundary value problems, with 45 figures and 53 tables, Mario Bebendorf, Berlin, Springer, 2008, 1 vol. (xvi-290 p.), Lecture Notes in Computational Science and Engineering, 978-3-540-77146-3
Описание
Итог:Hierarchical matrices are an efficient framework for large-scale fully populated matrices arising, e.g., from the finite element discretization of solution operators of elliptic boundary value problems. In addition to storing such matrices, approximations of the usual matrix operations can be computed with logarithmic-linear complexity, which can be exploited to setup approximate preconditioners in an efficient and convenient way. Besides the algorithmic aspects of hierarchical matrices, the main aim of this book is to present their theoretical background. The book contains the existing approximation theory for elliptic problems including partial differential operators with nonsmooth coefficients. Furthermore, it presents in full detail the adaptive cross approximation method for the efficient treatment of integral operators with non-local kernel functions.The theory is supported by many numerical experiments from real applications
Примечание:L'impression du document génère 302 p.
Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Библиография:Bibliogr. Index
ISBN:9783540771470
ISSN:2197-7100
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