|Author||Naraparaju, Kishore Kumar ♦ Nagaraju, G.|
|Subject Domain (in DDC)||Natural sciences & mathematics ♦ Mathematics|
|Subject Keyword||Exponential accuracy ♦ Interface ♦ Least-squares ♦ Nonconforming ♦ Preconditioner ♦ Spectral element|
|Abstract||In this paper a least-squares based method is proposed for elliptic interface problems in two dimensions, where the interface is smooth. The underlying method is spectral element method. The least-squares formulation is based on the minimization of a functional as defined in (4.1). The jump in the solution and its normal derivative across the interface are enforced (in an appropriate Sobolev norm) in the functional. The solution is obtained by solving the normal equations using preconditioned conjugate gradient method. Essentially the method is nonconforming, so a block diagonal matrix is constructed as a preconditioner based on the stability estimate where each diagonal block is decoupled. A conforming solution is obtained by making a set of corrections to the nonconforming solution as in Schwab (p and h–p Finite Element Methods, Clarendon Press, Oxford, 1998) and an error estimate in H 1-norm is given which shows the exponential convergence of the proposed method.|
|Learning Resource Type||Article|
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