Abstract. We develop an adaptive edge finite element method based on reliable and efficient residual-based a posteriori error estimates for low-frequency time-harmonic Maxwell’s equations with singularities. The resulting discrete problem is solved by the multigrid preconditioned minimum residual iteration algorithm. We demonstrate the efficiency and robustness of the proposed method by extensive numerical experiments for cavity problems with singular solutions which includes, in particular, scattering over screens. Key words. Maxwell’s equations, singularities of solutions, adaptive finite element method, multigrid method AMS subject classifications. 65N30, 65N55, 78A2
For the adaptive solution of the Maxwell equations on three-dimensional domains with N´ed´elec edge ...
We consider the convergence theory of adaptive multigrid methods for second-order elliptic problems ...
AbstractIn the edge vector finite element solution of the frequency domain Maxwell equations, the pr...
A posteriori error estimates in each subdomain of a finite element tessellation provide the main ing...
A widely used approach for the computation of time-harmonic electromag-netic fields is based on the ...
For the efficient numerical solution of indefinite linear systems arising from curl conforming edge ...
For the efficient numerical solution of indefinite linear systems arising from curl conforming edge ...
In the first part, an efficient and reliable a posteriori error estimate is derived for solving thre...
The overall efficiency and accuracy of standard finite element methods may be severely reduced if th...
In this paper we present a posteriori error estimates, and stability estimates for the time-dependen...
An implicit a posteriori error estimation technique is presented and analyzed for the numerical solu...
We consider local multigrid methods for adaptive finite element and adaptive edge element discretize...
We consider the convergence theory of adaptive multigrid methods for second-order elliptic problems ...
AbstractWe consider efficient and robust adaptive multigrid and domain decomposition methods for the...
In this paper we present a posteriori error estimates, and stability estimates for the time-dependen...
For the adaptive solution of the Maxwell equations on three-dimensional domains with N´ed´elec edge ...
We consider the convergence theory of adaptive multigrid methods for second-order elliptic problems ...
AbstractIn the edge vector finite element solution of the frequency domain Maxwell equations, the pr...
A posteriori error estimates in each subdomain of a finite element tessellation provide the main ing...
A widely used approach for the computation of time-harmonic electromag-netic fields is based on the ...
For the efficient numerical solution of indefinite linear systems arising from curl conforming edge ...
For the efficient numerical solution of indefinite linear systems arising from curl conforming edge ...
In the first part, an efficient and reliable a posteriori error estimate is derived for solving thre...
The overall efficiency and accuracy of standard finite element methods may be severely reduced if th...
In this paper we present a posteriori error estimates, and stability estimates for the time-dependen...
An implicit a posteriori error estimation technique is presented and analyzed for the numerical solu...
We consider local multigrid methods for adaptive finite element and adaptive edge element discretize...
We consider the convergence theory of adaptive multigrid methods for second-order elliptic problems ...
AbstractWe consider efficient and robust adaptive multigrid and domain decomposition methods for the...
In this paper we present a posteriori error estimates, and stability estimates for the time-dependen...
For the adaptive solution of the Maxwell equations on three-dimensional domains with N´ed´elec edge ...
We consider the convergence theory of adaptive multigrid methods for second-order elliptic problems ...
AbstractIn the edge vector finite element solution of the frequency domain Maxwell equations, the pr...