arXiv Analytics

Sign in

arXiv:1010.1251 [math.NA]AbstractReferencesReviewsResources

Quasi-optimal convergence rate of an AFEM for quasi-linear problems

Eduardo M. Garau, Pedro Morin, Carlos Zuppa

Published 2010-10-06Version 1

We prove the quasi-optimal convergence of a standard adaptive finite element method (AFEM) for nonlinear elliptic second-order equations of monotone type. The adaptive algorithm is based on residual-type a posteriori error estimators and D\"orfler's strategy is assumed for marking. We first prove a contraction property for a suitable definition of total error, which is equivalent to the total error as defined by Casc\'on et al. (in SIAM J. Numer. Anal. 46 (2008), 2524--2550), and implies linear convergence of the algorithm. Secondly, we use this contraction to derive the optimal cardinality of the AFEM.

Related articles: Most relevant | Search more
arXiv:1006.3319 [math.NA] (Published 2010-06-16)
Convergence of an adaptive Kačanov FEM for quasi-linear problems
arXiv:1101.1224 [math.NA] (Published 2011-01-06)
Quasi-optimal convergence rate for adaptive mixed finite element methods
arXiv:1903.10409 [math.NA] (Published 2019-03-25)
Quasi-optimal convergence rate for an adaptive method for the integral fractional Laplacian