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arxiv: 1708.06104 · v1 · pith:WSUFO3LZnew · submitted 2017-08-21 · 🧮 math.NA

An adaptive C0IPG method for the Helmholtz transmission eigenvalue problem

classification 🧮 math.NA
keywords adaptivealgorithmeigenvalueerrorgivehelmholtzmethodposteriori
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The interior penalty methods using $C^0$ Lagrange elements ($C^0$IPG) developed in the last decade for the fourth order problems are an interesting topic in academia at present. In this paper, we discuss the adaptive fashion of $C^0$IPG method for the Helmholtz transmission eigenvalue problem.We give the a posteriori error indicators for primal and dual eigenfunctions, and prove their reliability and efficiency. We also give the a posteriori error indicator for eigenvalues and design a $C^0$IPG adaptive algorithm. Numerical experiments show that this algorithm is efficient and can get the optimal convergence rate.

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