On the use of rational-function fitting methods for the solution of 2D Laplace boundary-value problems
A computational scheme for solving 2D Laplace boundary-value problems using rational functions as the basis functions is described. The scheme belongs to the class of desingularized methods, for which the location of singularities and testing points is a major issue that is addressed by the proposed...
Main Authors: | , , |
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Other Authors: | , |
Format: | Article |
Language: | English |
Published: |
Elsevier B.V.,
2014-10-17T18:18:17Z.
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Subjects: | |
Online Access: | Get fulltext |
Summary: | A computational scheme for solving 2D Laplace boundary-value problems using rational functions as the basis functions is described. The scheme belongs to the class of desingularized methods, for which the location of singularities and testing points is a major issue that is addressed by the proposed scheme, in the context he 2D Laplace equation. Well-established rational-function fitting techniques are used to set the poles, while residues are determined by enforcing the boundary conditions in the least-squares sense at the nodes of rational Gauss-Chebyshev quadrature rules. Numerical results show that errors approaching the machine epsilon can be obtained for sharp and almost sharp corners, nearly-touching boundaries, and almost-singular boundary data. We show various examples of these cases in which the method yields compact solutions, requiring fewer basis functions than the Nyström method, for the same accuracy. A scheme for solving fairly large-scale problems is also presented. Technion, Israel Institute of Technology. Advanced Circuit Research Center Singapore-MIT Alliance Computational Engineering Programme USC Viterbi School of Engineering (Postdoctoral Fellowship) |
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