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A Posteriori Error Estimation in Finite Element An alysis

Ainsworth (Autor)

Software / Digital Media
264 Seiten
2011
John Wiley & Sons Inc (Hersteller)
978-1-118-03282-4 (ISBN)
175,53 inkl. MwSt
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A posteriori error estimators have been intensely studied in recent years, owing to their remarkable capacity to enhance both speed and accuracy in computing. By effectively estimating error, the door has been opened for the possibility of controlling the entire computational process through new adaptive algorithms.
An up-to-date, one-stop reference-complete with applications This volume presents the most up-to-date information available on a posteriori error estimation for finite element approximation in mechanics and mathematics. It emphasizes methods for elliptic boundary value problems and includes applications to incompressible flow and nonlinear problems. Recent years have seen an explosion in the study of a posteriori error estimators due to their remarkable influence on improving both accuracy and reliability in scientific computing. In an effort to provide an accessible source, the authors have sought to present key ideas and common principles on a sound mathematical footing.
Topics covered in this timely reference include: * Implicit and explicit a posteriori error estimators * Recovery-based error estimators * Estimators, indicators, and hierarchic bases * The equilibrated residual method * Methodology for the comparison of estimators * Estimation of errors in quantities of interest A Posteriori Error Estimation in Finite Element Analysis is a lucid and convenient resource for researchers in almost any field of finite element methods, and for applied mathematicians and engineers who have an interest in error estimation and/or finite elements.

MARK AINSWORTH, PhD, is Professor of Applied Mathematics at Strathclyde University, UK. J. TINSLEY ODEN, PhD, is Director of the Texas Institute for Computational and Applied Mathematics at the University of Texas, Austin.

Explicit A Posteriori Estimators. Implicit A Posteriori Estimators. Recovery Based Error Estimators. Estimators, Indicators, and Hierarchic Bases. The Equilibrated Residual Method. Methodology for the Comparison of Estimators. Estimation of the Errors in Quantities of Interest. Some Extensions. References. Index.

Erscheint lt. Verlag 30.9.2011
Verlagsort New York
Sprache englisch
Maße 150 x 250 mm
Gewicht 666 g
Themenwelt Mathematik / Informatik Mathematik Analysis
Mathematik / Informatik Mathematik Angewandte Mathematik
Technik
ISBN-10 1-118-03282-9 / 1118032829
ISBN-13 978-1-118-03282-4 / 9781118032824
Zustand Neuware
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