Lectures on advanced computational methods in mechanics /
Biographical note: Johannes Kraus and Ulrich Langer, Radon Institute for Computational and Applied Mathematics, Linz, Austria.
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Corporate Authors: | ; |
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Group Author: | ; |
Published: |
De Gruyter,
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Publisher Address: | Berlin ; New York : |
Publication Dates: |
2011. ©2007 |
Literature type: | eBook |
Language: | English |
Series: |
Radon series on computational and applied mathematics ;
volume 1 |
Subjects: | |
Online Access: |
http://www.degruyter.com/doi/book/10.1515/9783110927092 http://www.degruyter.com/doc/cover/9783110927092.jpg |
Summary: |
Biographical note: Johannes Kraus and Ulrich Langer, Radon Institute for Computational and Applied Mathematics, Linz, Austria. Main description: This book contains four survey papers related to different topics in computational mechanics, in particular (1) novel discretization and solver techniques in mechanics and (2) inverse, control, and optimization problems in mechanics. These topics were considered in lectures, seminars, tutorials, and workshops at the Special Semester on Computational Mechanics held at the Johann Radon Institute for Computational and Applied Mathematics (RICAM), Linz, Austria, in December 2005. This book contains four survey papers related to different topics in computational mechanics, in particular (1) novel discretization and solver techniques in mechanics and (2) inverse, control, and optimization problems in mechanics. These topics were considered in lectures, seminars, tutorials, and workshops at the Special Semester on Computational Mechanics held at the Johann Radon Institute for Computational and Applied Mathematics (RICAM), Linz, Austria, in December 2005 |
Carrier Form: | 1 online resource(ix, 226 pages) : illustrations. |
ISBN: | 9783110927092 |
Index Number: | QA807 |
CLC: | O316 |
Contents: | Preface; Modelling and iterative identification of hysteresis via Preisach operators in PDEs; Multilevel methods for anisotropic elliptic problems; Domain decomposition methods; A posteriori error estimation methods for partial differential equations. |