Advanced Finite Element Methods with Applications (eBook)

Selected Papers from the 30th Chemnitz Finite Element Symposium 2017
Artikelnummer: 978-3-030-14244-5
Einband: PDF
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Finite element methods are the most popular methods for solving partial differential equations numerically, and despite having a history of more than 50 years, there is still active research on their analysis, application and extension. This book features overview papers and original research articles from participants of the 30th Chemnitz Finite Element Symposium, which itself has a 40-year history. Covering topics including numerical methods for equations with fractional partial derivatives; isogeometric analysis and other novel discretization methods, like space-time finite elements and boundary elements; analysis of a posteriori error estimates and adaptive methods; enhancement of efficient solvers of the resulting systems of equations, discretization methods for partial differential equations on surfaces; and methods adapted to applications in solid and fluid mechanics, it offers readers insights into the latest results.



Finite element methods are the most popular methods for solving partial differential equations numerically, and despite having a history of more than 50 years, there is still active research on their analysis, application and extension. This book features overview papers and original research articles from participants of the 30th Chemnitz Finite Element Symposium, which itself has a 40-year history. Covering topics including numerical methods for equations with fractional partial derivatives; isogeometric analysis and other novel discretization methods, like space-time finite elements and boundary elements; analysis of a posteriori error estimates and adaptive methods; enhancement of efficient solvers of the resulting systems of equations, discretization methods for partial differential equations on surfaces; and methods adapted to applications in solid and fluid mechanics, it offers readers insights into the latest results.



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VerlagSpringer Nature Switzerland
EinbandPDF
Erscheinungsjahr2019
Seitenangabe428 S.
AusgabekennzeichenEnglisch
AbbildungenXXII, 428 p. 103 illus., 76 illus. in color.
Masse11'833 KB
PlattformPDF
ReiheLecture Notes in Computational Science and Engineering; Mathematics and Statistics; Mathematics and Statistics
AutorApel, Thomas (Hrsg.) / Langer, Ulrich (Hrsg.) / Meyer, Arnd (Hrsg.) / Steinbach, Olaf (Hrsg.)

Alle Bände der Reihe "Lecture Notes in Computational Science and Engineering; Mathematics and Statistics; Mathematics and Statistics (R0)"

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