Local error estimates and adaptive refinement for first-order system least squares (FOSLS).
Berndt, Markus, Manteuffel, Thomas A., McCormick, Stephen F. (1997)
ETNA. Electronic Transactions on Numerical Analysis [electronic only]
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Berndt, Markus, Manteuffel, Thomas A., McCormick, Stephen F. (1997)
ETNA. Electronic Transactions on Numerical Analysis [electronic only]
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Fulton, Scott R. (2003)
ETNA. Electronic Transactions on Numerical Analysis [electronic only]
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Blum, Heribert, Rademacher, Andreas, Schröder, Andreas (2008)
ETNA. Electronic Transactions on Numerical Analysis [electronic only]
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Dobrowolski, Manfred, Gräf, Steffen, Pflaum, Christoph (1999)
ETNA. Electronic Transactions on Numerical Analysis [electronic only]
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Valdman, Jan (2009)
Advances in Numerical Analysis
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Segeth, Karel
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A lot of papers and books analyze analytical a posteriori error estimates from the point of view of robustness, guaranteed upper bounds, global efficiency, etc. At the same time, adaptive finite element methods have acquired the principal position among algorithms for solving differential problems in many physical and technical applications. In this survey contribution, we present and compare, from the viewpoint of adaptive computation, several recently published error estimation procedures...
Daniel Kessler, Ricardo H. Nochetto, Alfred Schmidt (2004)
ESAIM: Mathematical Modelling and Numerical Analysis - Modélisation Mathématique et Analyse Numérique
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Phase-field models, the simplest of which is Allen–Cahn’s problem, are characterized by a small parameter that dictates the interface thickness. These models naturally call for mesh adaptation techniques, which rely on a posteriori error control. However, their error analysis usually deals with the underlying non-monotone nonlinearity via a Gronwall argument which leads to an exponential dependence on . Using an energy argument combined with a topological continuation argument and...
Jan Brandts (1999)
Applications of Mathematics
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We will investigate the possibility to use superconvergence results for the mixed finite element discretizations of some time-dependent partial differential equations in the construction of a posteriori error estimators. Since essentially the same approach can be followed in two space dimensions, we will, for simplicity, consider a model problem in one space dimension.