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
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Engquist, Björn (Editor ), Lötstedt, Per (Editor ), Runborg, Olof (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2005.
Edición:1st ed. 2005.
Colección:Lecture Notes in Computational Science and Engineering, 44
Temas:
Engineering mathematics.
Engineering-Data processing.
Mathematical models.
Mathematics-Data processing.
Mechanical engineering.
Physics.
Mathematical and Computational Engineering Applications.
Mathematical Modeling and Industrial Mathematics.
Computational Science and Engineering.
Computational Mathematics and Numerical Analysis.
Mechanical Engineering.
Classical and Continuum Physics.
Acceso en línea:Texto Completo
Descripción
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.
Descripción Física:XI, 289 p. online resource.
ISBN:9783540264446
ISSN:2197-7100 ;

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