Finite volume element method for monotone nonlinear elliptic problems
Article first published online: 27 OCT 2012
DOI: 10.1002/num.21747
Copyright © 2012 Wiley Periodicals, Inc.
Issue

Numerical Methods for Partial Differential Equations
Volume 29, Issue 4, pages 1097–1120, July 2013
Additional Information
How to Cite
Bi, C., Lin, Y. and Yang, M. (2013), Finite volume element method for monotone nonlinear elliptic problems. Numer. Methods Partial Differential Eq., 29: 1097–1120. doi: 10.1002/num.21747
Publication History
- Issue published online: 23 APR 2013
- Article first published online: 27 OCT 2012
- Manuscript Accepted: 25 SEP 2012
- Manuscript Received: 14 NOV 2011
Funded by
- Shandong Rovince Natural Science Foundation. Grant Numbers: ZR2010AM004, ZR2010AQ020
- National Natural Science Foundation of China. Grant Number: 11201405
- Projects of Shandong Province Higher Educational Science and Technology. Grant Numbers: J10LA01, J11LA09
- RGF of SAR Hong Kong, China (PolyU 5017/09P), PolyU G-U946 and NSERC (Canada)
- Abstract
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- References
- Cited By
Keywords:
- finite volume element method;
- monotone nonlinear elliptic problems;
- a priori;
- a posteriori;
- error estimates
Abstract
In this article, we consider the finite volume element method for the monotone nonlinear second-order elliptic boundary value problems. With the assumptions which guarantee that the corresponding operator is strongly monotone and Lipschitz-continuous, and with the minimal regularity assumption on the exact solution, that is, u∈H1(Ω), we show that the finite volume element method has a unique solution, and the finite volume element approximation is uniformly convergent with respect to the H1 -norm. If u∈H1+ε(Ω),0 < ε ≤ 1, we develop the optimal convergence rate
in the H1 -norm. Moreover, we propose a natural and computationally easy residual-based H1 -norm a posteriori error estimator and establish the global upper bound and local lower bounds on the error. © 2012 Wiley Periodicals, Inc. Numer Methods Partial Differential Eq, 2013

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