The Smooth Selection Embedding Method with Chebyshev Polynomials
Abstract
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.
Cite
@article{arxiv.1902.03713,
title = {The Smooth Selection Embedding Method with Chebyshev Polynomials},
author = {Daniel Agress and Patrick Guidotti and Dong Yan},
journal= {arXiv preprint arXiv:1902.03713},
year = {2019}
}
Comments
20 pages, 17 figures