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Numerical Computation of the Conformal Map onto Lemniscatic Domains

Numerical Computation of the Conformal Map onto Lemniscatic Domains We present a numerical method for the computation of the conformal map from unbounded multiply-connected domains onto lemniscatic domains. For $$\ell $$ ℓ -times connected domains, the method requires solving $$\ell $$ ℓ boundary integral equations with the Neumann kernel. This can be done in $$O(\ell ^2 n \log n)$$ O ( ℓ 2 n log n ) operations, where n is the number of nodes in the discretization of each boundary component of the multiply-connected domain. As demonstrated by numerical examples, the method works for domains with close-to-touching boundaries, non-convex boundaries, piecewise smooth boundaries, and for domains of high connectivity. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Computational Methods and Function Theory Springer Journals

Numerical Computation of the Conformal Map onto Lemniscatic Domains

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References (62)

Publisher
Springer Journals
Copyright
Copyright © 2016 by Springer-Verlag Berlin Heidelberg
Subject
Mathematics; Analysis; Computational Mathematics and Numerical Analysis; Functions of a Complex Variable
ISSN
1617-9447
eISSN
2195-3724
DOI
10.1007/s40315-016-0159-x
Publisher site
See Article on Publisher Site

Abstract

We present a numerical method for the computation of the conformal map from unbounded multiply-connected domains onto lemniscatic domains. For $$\ell $$ ℓ -times connected domains, the method requires solving $$\ell $$ ℓ boundary integral equations with the Neumann kernel. This can be done in $$O(\ell ^2 n \log n)$$ O ( ℓ 2 n log n ) operations, where n is the number of nodes in the discretization of each boundary component of the multiply-connected domain. As demonstrated by numerical examples, the method works for domains with close-to-touching boundaries, non-convex boundaries, piecewise smooth boundaries, and for domains of high connectivity.

Journal

Computational Methods and Function TheorySpringer Journals

Published: Feb 2, 2016

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