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Adaptive Finite Element Methods for Differential Equations

✍ Scribed by Wolfgang Bangerth, Rolf Rannacher (auth.)


Publisher
BirkhΓ€user Basel
Year
2003
Tongue
English
Leaves
216
Series
Lectures in Mathematics
Edition
1
Category
Library

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✦ Synopsis


These Lecture Notes discuss concepts of `self-adaptivity' in the numerical solution of differential equations, with emphasis on Galerkin finite element methods. The key issues are a posteriori error estimation and it automatic mesh adaptation. Besides the traditional approach of energy-norm error control, a new duality-based technique, the Dual Weighted Residual method for goal-oriented error estimation, is discussed in detail. This method aims at economical computation of arbitrary quantities of physical interest by properly adapting the computational mesh. This is typically required in the design cycles of technical applications. For example, the drag coefficient of a body immersed in a viscous flow is computed, then it is minimized by varying certain control parameters, and finally the stability of the resulting flow is investigated by solving an eigenvalue problem. `Goal-oriented' adaptivity is designed to achieve these tasks with minimal cost.
At the end of each chapter some exercises are posed in order to assist the interested reader in better understanding the concepts presented. Solutions and accompanying remarks are given in the Appendix. For the practical exercises, sample programs are provided via internet.

✦ Table of Contents


Front Matter....Pages i-viii
Introduction....Pages 1-14
An ODE Model Case....Pages 15-24
A PDE Model Case....Pages 25-40
Practical Aspects....Pages 41-60
The Limits of Theoretical Analysis....Pages 61-70
An Abstract Approach for Nonlinear Problems....Pages 71-80
Eigenvalue Problems....Pages 81-100
Optimization Problems....Pages 101-112
Time-Dependent Problems....Pages 113-128
Applications in Structural Mechanics....Pages 129-142
Applications in Fluid Mechanics....Pages 143-160
Miscellaneous and Open Problems....Pages 161-165
Back Matter....Pages 167-208

✦ Subjects


Ordinary Differential Equations; Computational Mathematics and Numerical Analysis; Classical Continuum Physics


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