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arxiv: 1902.03713 · v1 · pith:ERVB2UR7new · submitted 2019-02-11 · 🧮 math.NA

The Smooth Selection Embedding Method with Chebyshev Polynomials

classification 🧮 math.NA
keywords methodchebyshevproblemsssemboundarycomplexdomainembedding
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We propose an implementation of the Smooth Selection Embedding Method (SSEM) in the setting of Chebyshev polynomials. The SSEM is a hybrid fictitious domain / collocation method which solves boundary value problems in complex domains by recasting them as constrained optimization problems in a simple encompassing set. Previously, the SSEM was introduced and implemented using a periodic box (read a torus) using Fourier series; here, it is implemented on a (non-periodic) rectangle using Chebyshev polynomial expansions. This implementation has faster convergence on smaller grids. Numerical experiments will demonstrate that the method provides a simple, robust, efficient, and high order fictitious domain method which can solve problems in complex geometries, with non-constant coefficients, and for general boundary conditions.

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