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An efficient method for approximate solution of a singular integral equation with Cauchy kernel

  • Lihong Yang*
  • , Zhong Chen
  • , Kechao Xie
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

In this paper, the Least Squares method and the reproducing kernel space are employed to obtain approximate solution of a general form of singular integral equations with Cauchy kernel. This approach is based on the construction of the subspace which is dense in the reproducing kernel space. The numerical examples illustrate the high accuracy of the method.

Original languageEnglish
Pages (from-to)50-61
Number of pages12
JournalJournal of Computational and Applied Mathematics
Volume352
DOIs
StatePublished - 15 May 2019
Externally publishedYes

Keywords

  • Cauchy kernel
  • Least squares method
  • Singular integral equations
  • The reproducing kernel space

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