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Randolph E. Bank
Philip E. Gill
Michael Holst

Administrative Contact:
Juan Rodriguez

Office: AP&M 7409
Phone: (858)534-9056
Fax: (858)534-5273
E-mail: jcr009@ucsd.edu
Adaptive Finite Element Methods for Nonlinear Elliptic Equations

Ryan Szypowski


The numerical solution of nonlinear elliptic equations is important in many applications; however, it is a challenging task to develop efficient software to solve general problems. This talk will describe the basic finite element method and develop an adaptive framework based on the SOLVE-ESTIMATE-MARK-REFINE iteration. A theory of convergence for this iteration, which allows the solver to be inexact, will be given as well as a new error estimator. Numerical results will be shown for a model problem arising in computational biochemistry.

Tuesday, April 19, 2011
11:00AM AP&M 2402