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Can I read Advanced Finite Element Methods with Applications: Selected Papers from the 30th Chemnitz Finite Element Symposium 2017 (Lecture Notes in Computational Science and Engineering (128)) on EtoBox?

Advanced Finite Element Methods with Applications: Selected Papers from the 30th Chemnitz Finite Element Symposium 2017 (Lecture Notes in Computational Science and Engineering (128)) by Thomas Apel; Ulrich Langer; Arnd Meyer; Olaf Steinbach; SpringerLink (Online service) is a nonfiction available to read on EtoBox.

What is Advanced Finite Element Methods with Applications: Selected Papers from the 30th Chemnitz Finite Element Symposium 2017 (Lecture Notes in Computational Science and Engineering (128)) about?

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.-- Provided by publisher

Who reads Advanced Finite Element Methods with Applications: Selected Papers from the 30th Chemnitz Finite Element Symposium 2017 (Lecture Notes in Computational Science and Engineering (128))?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Thomas Apel; Ulrich Langer; Arnd Meyer; Olaf Steinbach; SpringerLink (Online service)
Publisher
Springer International Publishing : Imprint: Springer
Published
2019
Language
EN
ISBN
9783030142469
Category
nonfiction
Subjects
Science, Engineering, Mathematics

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