A posteriori error estimation techniques are fundamental to the efficient numerical solution of PDEs arising in physical and technical applications. This book gives a unified approach to these techniques and guides graduate students, researchers, and practitioners towards understanding, applying and developing self-adaptive discretization methods.
A posteriori error estimation techniques are fundamental to the efficient numerical solution of PDEs arising in physical and technical applications. This book gives a unified approach to these techniques and guides graduate students, researchers, and practitioners towards understanding, applying and developing self-adaptive discretization methods.
Rüdiger Verfürth is Chair for Numerical Analysis at Ruhr-University, Bochum. He is a renowned expert in a posteriori error estimation and has been the Associate Editor of the SIAM Journal on Numerical Analysis since 2001. He has previously written a well-known book in the area: A Review of A Posteriori Error Estimation and Adaptive Mesh-Refinement Techniques (Wiley, 1996)
Inhaltsangabe
1: A Simple Model Problem 2: Implementation 3: Auxiliary Results 4: Linear Elliptic Equations 5: Nonlinear Elliptic Equations 6: Parabolic Equations