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Rapid Solution of Minimal Riesz Energy Problems
Authors:Helmut Harbrecht  Wolfgang L Wendland  Natalia Zorii
Institution:1. Departement Mathematik und Informatik, Universit?t Basel, Basel, Switzerland;2. Universit?t Stuttgart, Institut für Angewandte Analysis und Numerische Simulation, Stuttgart, Germany;3. Institute of Mathematics, National Academy of Sciences of Ukraine, Kyiv‐4, Ukraine
Abstract:In urn:x-wiley:0749159X:media:num22060:num22060-math-0001, urn:x-wiley:0749159X:media:num22060:num22060-math-0002, we compute the solution to both the unconstrained and constrained Gauss variational problem, considered for the Riesz kernel urn:x-wiley:0749159X:media:num22060:num22060-math-0003 of order urn:x-wiley:0749159X:media:num22060:num22060-math-0004 and a pair of compact, disjoint, boundaryless urn:x-wiley:0749159X:media:num22060:num22060-math-0005‐dimensional urn:x-wiley:0749159X:media:num22060:num22060-math-0006‐manifolds urn:x-wiley:0749159X:media:num22060:num22060-math-0007, urn:x-wiley:0749159X:media:num22060:num22060-math-0008, where urn:x-wiley:0749159X:media:num22060:num22060-math-0009, each urn:x-wiley:0749159X:media:num22060:num22060-math-0010 being charged with Borel measures with the sign urn:x-wiley:0749159X:media:num22060:num22060-math-0011 prescribed. Such variational problems over a cone of Borel measures can be formulated as minimization problems over the corresponding cone of surface distributions belonging to the Sobolev–Slobodetski space urn:x-wiley:0749159X:media:num22060:num22060-math-0012, where urn:x-wiley:0749159X:media:num22060:num22060-math-0013 and urn:x-wiley:0749159X:media:num22060:num22060-math-0014 (see Harbrecht et al., Math. Nachr. 287 (2014), 48–69). We thus approximate the sought density by piecewise constant boundary elements and apply the primal‐dual active set strategy to impose the desired inequality constraints. The boundary integral operator which is defined by the Riesz kernel under consideration is efficiently approximated by means of an urn:x-wiley:0749159X:media:num22060:num22060-math-0015‐matrix approximation. This particularly enables the application of a preconditioner for the iterative solution of the first‐order optimality system. Numerical results in urn:x-wiley:0749159X:media:num22060:num22060-math-0016 are given to demonstrate our approach. © 2016Wiley Periodicals, Inc. Numer Methods Partial Differential Eq 32: 1535–1552, 2016
Keywords:Gauss variational problem  Riesz kernel  boundary element method  active set strategy
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