Adaptive Crank-Nicolson methods with dynamic finite-element spaces for parabolic problems (Q950572)

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scientific article; zbMATH DE number 5359467
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Adaptive Crank-Nicolson methods with dynamic finite-element spaces for parabolic problems
scientific article; zbMATH DE number 5359467

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    Adaptive Crank-Nicolson methods with dynamic finite-element spaces for parabolic problems (English)
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    30 October 2008
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    The authors construct discretizations of linear parabolic problems with the aid of Galerkin type methods, discontinuous in time and continuous in space. These procedures have the advantage that they are adaptive i.e., at each time level the refinement or coarsening of the triangulation can be modified according to the necessities. Important elements in this method are the a posteriori estimates. In order to explain their method the authors consider the following model problem: \[ \begin{alignedat}{2} u_{t}-\Delta u &=f \quad&&\text{in } \Omega \times (0,T), \\ u&=0 \quad&&\text{on }\partial\Omega \times (0,T),\\ u(\cdot,0)&=u_{0}\quad&&\text{in } \Omega,\end{alignedat} \] where \(\Omega\subset\mathbb{R}^{2}\), \(f\in L^{2}(0,T;L^{2}(\Omega))\), \(u_{0}\in L^{2}(\Omega)\). Next sections are: The approximate procedure; Crank-Nicolson procedure; Residual; Posing dual problems and representation formulas; A posteriori error estimator; Adaptive algorithm.
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    adaptive mesh
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    discontinuous Galerkin method
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    a posteriori error estimators
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    Crank-Nicolson reconstruction
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    Crank-Nicolson schemes
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    evolution equation
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    finite elements
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    linear parabolic problems
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    adaptive algorithm
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