Optimization, conditioning and accuracy of radial basis function method for partial differential equations with nonlocal boundary conditions: A case of two-dimensional Poisson equation

Research output: Contribution to journalArticle

14 Citations (Scopus)


Various real-world processes usually can be described by mathematical models consisted of partial differential equations (PDEs) with nonlocal boundary conditions. Therefore, interest in developing computational methods for the solution of such nonclassical differential problems has been growing fast. We use a meshless method based on radial basis functions (RBF) collocation technique for the solution of two-dimensional Poisson equation with nonlocal boundary conditions. The main attention is paid to the influence of nonlocal conditions on the optimal choice of the RBF shape parameters as well as their influence on the conditioning and accuracy of the method. The results of numerical study are presented and discussed.
Original languageEnglish
Pages (from-to)788-804
JournalEngineering Analysis with Boundary Elements
Issue number4
Publication statusPublished - 2013



  • Poisson equation
  • Nonlocal boundary condition
  • Meshless method
  • Radial basis function
  • Collocation
  • Shape parameter
  • Condition number

Cite this