Authors:
- Introduction to finite elements only based on calculus and linear algebra
- Covers theory, implementation and applications. Focus on basic mathematical principles and consequent use of the same approach in different applications
- Matlab programs included
- Wide range of applications including solid mechanics, electromagnetics, and fluid mechanics
- Covers modern topics such as adaptivity based on duality arguments?
- Includes supplementary material: sn.pub/extras
Part of the book series: Texts in Computational Science and Engineering (TCSE, volume 10)
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Table of contents (14 chapters)
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Front Matter
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Back Matter
About this book
Reviews
From the reviews:
“The authors give an introduction to the finite element method as a general computational method for solving partial differential equations (PDEs) approximately. … The book should be accessible to students with only knowledge of calculus of several variables, basic partial differential equations, and linear algebra, as the necessary concepts from more advanced analysis are introduced when needed.” (Răzvan Răducanu, Zentralblatt MATH, Vol. 1263, 2013)Authors and Affiliations
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, Department of Mathematics, Umeå University, Umea, Sweden
Mats G. Larson, Fredrik Bengzon
Bibliographic Information
Book Title: The Finite Element Method: Theory, Implementation, and Applications
Authors: Mats G. Larson, Fredrik Bengzon
Series Title: Texts in Computational Science and Engineering
DOI: https://doi.org/10.1007/978-3-642-33287-6
Publisher: Springer Berlin, Heidelberg
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2013
Hardcover ISBN: 978-3-642-33286-9Published: 12 January 2013
Softcover ISBN: 978-3-642-44711-2Published: 25 June 2015
eBook ISBN: 978-3-642-33287-6Published: 13 January 2013
Series ISSN: 1611-0994
Series E-ISSN: 2197-179X
Edition Number: 1
Number of Pages: XVII, 395
Topics: Computational Science and Engineering, Partial Differential Equations, Theoretical and Applied Mechanics, Computer-Aided Engineering (CAD, CAE) and Design, Computational Mathematics and Numerical Analysis