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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Bibliographic Details
Corporate Authors: De Gruyter.; ebrary, Inc.
Group Author: Kraus, Johannes.; Langer, Ulrich
Published: De Gruyter,
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.