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Determination of an Extremal in Two-Dimensional Variational Problems Based on the RBF Collocation Method.
Golbabai, Ahmad; Safaei, Nima; Molavi-Arabshahi, Mahboubeh.
Afiliação
  • Golbabai A; School of Mathematics, Iran University of Science and Technology, Narmak, Tehran 16846-13114, Iran.
  • Safaei N; School of Mathematics, Iran University of Science and Technology, Narmak, Tehran 16846-13114, Iran.
  • Molavi-Arabshahi M; School of Mathematics, Iran University of Science and Technology, Narmak, Tehran 16846-13114, Iran.
Entropy (Basel) ; 24(10)2022 Sep 23.
Article em En | MEDLINE | ID: mdl-37420364
ABSTRACT
This paper introduces a direct method derived from the global radial basis function (RBF) interpolation over arbitrary collocation nodes occurring in variational problems involving functionals that depend on functions of a number of independent variables. This technique parameterizes solutions with an arbitrary RBF and transforms the two-dimensional variational problem (2DVP) into a constrained optimization problem via arbitrary collocation nodes. The advantage of this method lies in its flexibility in selecting between different RBFs for the interpolation and parameterizing a wide range of arbitrary nodal points. Arbitrary collocation points for the center of the RBFs are applied in order to reduce the constrained variation problem into one of a constrained optimization. The Lagrange multiplier technique is used to transform the optimization problem into an algebraic equation system. Three numerical examples indicate the high efficiency and accuracy of the proposed technique.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article