4.5 Article

A radial basis function method for computing Helmholtz-Hodge decompositions

期刊

IMA JOURNAL OF NUMERICAL ANALYSIS
卷 37, 期 2, 页码 774-797

出版社

OXFORD UNIV PRESS
DOI: 10.1093/imanum/drw027

关键词

radial basis functions; kernel methods; vector decomposition; divergence-free approximation; curl-free approximation

资金

  1. National Science Foundation [NSF-DMS 1160379, NSF-ACI 1440638]
  2. Direct For Mathematical & Physical Scien
  3. Division Of Mathematical Sciences [1160379] Funding Source: National Science Foundation

向作者/读者索取更多资源

A radial basis function method based on matrix-valued kernels is presented and analysed for computing two types of vector decompositions on bounded domains: one where the normal component of the divergence-free part of the field is specified on the boundary, and the other where the tangential component of the curl-free part of the field is specified. These two decompositions can then be combined to obtain a full Helmholtz-Hodge decomposition of the field, i.e., the sum of divergence-free, curl-free and harmonic fields. All decompositions are computed from samples of the field at (possibly scattered) nodes over the domain, and all boundary conditions are imposed on the vector fields, not their potentials, distinguishing this technique from many current methods. Sobolev-type error estimates for the various decompositions are provided and demonstrated with numerical examples.

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