This paper studies the superconvergence phenomena appearing in bubble-type adaptivefiniteelement process. Based on a mesh condition derived from the bubble-type mesh generation, a superconvergence result of parallel...
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This paper studies the superconvergence phenomena appearing in bubble-type adaptivefiniteelement process. Based on a mesh condition derived from the bubble-type mesh generation, a superconvergence result of parallel to u(h) - u(I)parallel to(1, Omega) is obtained. Further, under the recovered gradient methods, a superconvergence estimation of bubble-type adaptive procedure is established. Theoretically, the reason behind the appearance of superconvergence in bubble-type adaptive procedure is justified. (C) 2019 Elsevier Ltd. All rights reserved.
We consider an adaptive finite element method for solving parabolic interface problems with nonzero flux jumps in a two-dimensional convex polygonal domain. We use continuous, piecewise linear functions for the approx...
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We consider an adaptive finite element method for solving parabolic interface problems with nonzero flux jumps in a two-dimensional convex polygonal domain. We use continuous, piecewise linear functions for the approximation of the spatial variable whereas the backward Euler method is employed for the time discretization. The reliability bound of the estimator is derived in terms of the error indicators using the energy argument. An efficiency bound for the local error in terms of the space error indicator is also established. We provide an adaptive algorithm which reduces the error indicators below any given tolerance within a finite number of steps. Our numerical experiment reveals the performance of the derived error indicators with satisfactory numerical results. (C) 2020 Elsevier Ltd. All rights reserved.
In this paper, an adaptive finite element method is proposed for solving Kohn-Sham equation with the multilevel correction technique. In the method, the Kohn-Sham equation is solved on a fixed and appropriately coarse...
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In this paper, an adaptive finite element method is proposed for solving Kohn-Sham equation with the multilevel correction technique. In the method, the Kohn-Sham equation is solved on a fixed and appropriately coarse mesh with the finiteelementmethod in which the finiteelement space is kept improving by solving the derived boundary value problems on a series of adaptively and successively refined meshes. A main feature of the method is that solving large scale Kohn-Sham system is avoided effectively, and solving the derived boundary value problems can be handled efficiently by classical methods such as the multigrid method. Hence, the significant acceleration can be obtained on solving Kohn-Sham equation with the proposed multilevel correction technique. The performance of the method is examined by a variety of numerical experiments. (C) 2017 Elsevier Inc. All rights reserved.
作者:
Gong, WeiLiu, WenbinTan, ZhiyuYan, NingningChinese Acad Sci
Natl Ctr Math & Interdisciplinary Sci State Key Lab Sci & Engn Comp Inst Computat MathAcad Math & Syst Sci Beijing 100190 Peoples R China Univ Kent
Kent Business Sch Canterbury CT2 7PE Kent England Hong Kong Baptist Univ
Dept Math Kowloon Tong Hong Kong Peoples R China Chinese Acad Sci
Acad Math & Syst Sci Inst Syst Sci NCMISLSEC Beijing 100190 Peoples R China
This paper concerns the adaptive finite element method for elliptic Dirichlet boundary control problems in the energy space. The contribution of this paper is twofold. First, we rigorously derive efficient and reliabl...
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This paper concerns the adaptive finite element method for elliptic Dirichlet boundary control problems in the energy space. The contribution of this paper is twofold. First, we rigorously derive efficient and reliable a posteriori error estimates for finiteelement approximations of Dirichlet boundary control problems. As a by-product, a priori error estimates are derived in a simple way by introducing appropriate auxiliary problems and establishing certain norm equivalence. Secondly, for the coupled elliptic partial differential system that resulted from the first-order optimality system, we prove that the sequence of adaptively generated discrete solutions including the control, the state and the adjoint state, guided by our newly derived a posteriori error indicators, converges to the true solution along with the convergence of the error estimators. We give some numerical results to confirm our theoretical findings.
In this work, we derive a reliable and efficient residual-typed error estimator for the finiteelement approximation of a 2D cathodic protection problem governed by a steady-state diffusion equation with a nonlinear b...
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In this work, we derive a reliable and efficient residual-typed error estimator for the finiteelement approximation of a 2D cathodic protection problem governed by a steady-state diffusion equation with a nonlinear boundary condition. We propose a standard adaptive finite element method involving the Dorfler marking and a minimal refinement without the interior node property. Furthermore, we establish the contraction property of this adaptive algorithm in terms of the sum of the energy error and the scaled estimator. This essentially allows for a quasi-optimal convergence rate in terms of the number of elements over the underlying triangulation. Numerical experiments are provided to confirm this quasi-optimality.
An adaptive finite element method is analyzed for approximating functionals of the solution of symmetric elliptic second order boundary value problems. We show that the method converges and derive a favorable upper bo...
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An adaptive finite element method is analyzed for approximating functionals of the solution of symmetric elliptic second order boundary value problems. We show that the method converges and derive a favorable upper bound for its convergence rate and computational complexity. We illustrate our theoretical findings with numerical results.
A new adaptive finite element method for solving the Stokes equations is developed, which is shown to converge with the best possible rate. The method consists of 3 nested loops. The outermost loop consists of an adap...
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A new adaptive finite element method for solving the Stokes equations is developed, which is shown to converge with the best possible rate. The method consists of 3 nested loops. The outermost loop consists of an adaptive finite element method for solving the pressure from the ( elliptic) Schur complement system that arises by eliminating the velocity. Each of the arising finiteelement problems is a Stokes-type problem, with the pressure being sought in the current trial space and the divergence-free constraint being reduced to orthogonality of the divergence to this trial space. Such a problem is still continuous in the velocity field. In the middle loop, its solution is approximated using the Uzawa scheme. In the innermost loop, the solution of the elliptic system for the velocity field that has to be solved in each Uzawa iteration is approximated by an adaptive finite element method.
Based on a new a posteriori error estimator, an adaptive finite element method is proposed for recovering the Robin coefficient involved in a diffusion system from some boundary measurement. The a posteriori error est...
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Based on a new a posteriori error estimator, an adaptive finite element method is proposed for recovering the Robin coefficient involved in a diffusion system from some boundary measurement. The a posteriori error estimator cannot be derived for this ill-posed nonlinear inverse problem as was done for the existing a posteriori error estimators for direct problems. Instead, we shall derive the a posteriori error estimator from our convergence analysis of the adaptive algorithm. We prove that the adaptive algorithm guarantees a convergent subsequence of discrete solutions in an energy norm to some exact triplet (the Robin coefficient, state and costate variables) determined by the optimality system of the least-squares formulation with Tikhonov regularization for the concerned inverse problem. Some numerical results are also reported to illustrate the performance of the algorithm.
In this paper, we establish the convergence and quasi-optimality of an adaptive finite element method for nonmonotone elliptic problems on L2 errors for a sufficiently fine initial mesh. Although additional refinement...
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In this paper, we establish the convergence and quasi-optimality of an adaptive finite element method for nonmonotone elliptic problems on L2 errors for a sufficiently fine initial mesh. Although additional refinements are needed to keep the meshes sufficiently mildly graded, it does not affect the convergence and quasi-optimality of the adaptive finite element method presented in this paper. Our theoretical results are verified by some numerical examples.
Large-scale nonsymmetric eigenvalue problems are common in various fields of science and engineering computing. However, their efficient handling is challenging, and research on their solution algorithms is limited. I...
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Large-scale nonsymmetric eigenvalue problems are common in various fields of science and engineering computing. However, their efficient handling is challenging, and research on their solution algorithms is limited. In this study, a new multilevel correction adaptive finite element method is designed for solving nonsymmetric eigenvalue problems based on the adaptive refinement technique and multilevel correction scheme. Different from the classical adaptive finite element method, which requires solving a nonsymmetric eigenvalue problem in each adaptive refinement space, our approach requires solving a symmetric linear boundary value problem in the current refined space and a small-scale nonsymmetric eigenvalue problem in an enriched correction space. Since it is time-consuming to solve a large-scale nonsymmetric eigenvalue problem directly in adaptive spaces, the proposed method can achieve nearly the same efficiency as the classical adaptive algorithm when solving the symmetric linear boundary value problem. In addition, the corresponding convergence and optimal complexity are verified theoretically and demonstrated numerically.
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