Multiscale methods in science and engineering

Multiscale problems naturally pose severe challenges for computational science and engineering. The smaller scales must be well resolved over the range of the larger scales. Challenging multiscale problems are very common and are found in e.g. materials science, fluid mechanics, electrical and mecha...

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Detalles Bibliográficos
Otros Autores: Engquist, Björn, 1945- (Director de publicación), Lötstedt, Per (Director de publicación), Runborg, Olof (Director de publicación)
Formato: Livre numérique
Lenguaje:Anglais
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Springer e-books [20..].
Cham : Springer Nature
Colección:Lecture Notes in Computational Science and Engineering 44
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Edition sous un autre format:• Multiscale methods in science and engineering, Björn Engquist, Per Lötstedt, Olof Runborg, editors, Berlin, Springer, 2005, 1 vol. (XI-289 p.), Lecture notes in computational science and engineering, 3-540-25335-1
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Sumario:Multiscale problems naturally pose severe challenges for computational science and engineering. The smaller scales must be well resolved over the range of the larger scales. Challenging multiscale problems are very common and are found in e.g. materials science, fluid mechanics, electrical and mechanical engineering. Homogenization, subgrid modelling, heterogeneous multiscale methods, multigrid, multipole, and adaptive algorithms are examples of methods to tackle these problems. This volume is an overview of current mathematical and computational methods for problems with multiple scales with applications in chemistry, physics and engineering
Notas:Archives Springer e-books (Licence nationale)
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ISBN:9783540264446
ISSN:1439-7358
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