Learning solutions to a Cauchy problem for the modified Helmholtz equations using LS-SVM

Purpose The purpose of this paper is to develop a mesh-free algorithm based on the least square support vector machines method for numerical simulation of the modified Helmholtz equations. Design/methodology/approach The proposed method deals with a Cauchy problem for the modified Helmholtz equation...

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Veröffentlicht in:Engineering computations 2021-02, Vol.38 (2), p.1024-1036
Hauptverfasser: Wu, Ziku, Han, Xiaoming, Li, GuoFeng
Format: Artikel
Sprache:eng
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Zusammenfassung:Purpose The purpose of this paper is to develop a mesh-free algorithm based on the least square support vector machines method for numerical simulation of the modified Helmholtz equations. Design/methodology/approach The proposed method deals with a Cauchy problem for the modified Helmholtz equations. The algorithm converts the problem into a quadratic programming. It can be divided into three steps. First, some training points are allocated. Then, an approximate function is constructed. Finally, the shape parameters are estimated. Findings The proposed method's stability is discussed. Numerical experiments are conducted to check the efficiency of the algorithm. The proposed method is found to feasible for the ill-posed problems of the modified Helmholtz equations. Originality/value The originality lies in that the proposed method is applied to solve the modified Helmholtz equations for the first time, and the expected results are obtained.
ISSN:0264-4401
1758-7077
DOI:10.1108/EC-04-2019-0168