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Mark Ainsworth - Posteriori Error Estimation in Finite Element Analysis - 9780471294115 - V9780471294115
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Posteriori Error Estimation in Finite Element Analysis

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Description for Posteriori Error Estimation in Finite Element Analysis Hardcover. 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. Series: Pure and Applied Mathematics: A Wiley Series of Texts, Monographs and Tracts. Num Pages: 264 pages, Illustrations. BIC Classification: PDE; TBJ. Category: (P) Professional & Vocational. Dimension: 244 x 166 x 20. Weight in Grams: 534.
An up-to-date, one-stop reference-complete with applications

This volume presents the most up-to-date information available on aposteriori error estimation for finite element approximation inmechanics and mathematics. It emphasizes methods for ellipticboundary value problems and includes applications to incompressibleflow and nonlinear problems.

Recent years have seen an explosion in the study of a posteriorierror estimators due to their remarkable influence on improvingboth accuracy and reliability in scientific computing. In an effortto provide an accessible source, the authors have sought to presentkey ideas and common principles on a sound mathematicalfooting.

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Product Details

Format
Hardback
Publication date
2000
Publisher
John Wiley & Sons Inc United States
Number of pages
264
Condition
New
Series
Pure and Applied Mathematics: A Wiley Series of Texts, Monographs and Tracts
Number of Pages
264
Place of Publication
, United States
ISBN
9780471294115
SKU
V9780471294115
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-50

About Mark Ainsworth
MARK AINSWORTH, PhD, is Professor of Applied Mathematics atStrathclyde University, UK. J. TINSLEY ODEN, PhD, is Director of the Texas Institute forComputational and Applied Mathematics at the University of Texas,Austin.

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