Learning solutions to a Cauchy problem for the modified Helmholtz equations using LS-SVM
ISSN: 0264-4401
Article publication date: 15 September 2020
Issue publication date: 8 February 2021
Abstract
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.
Keywords
Acknowledgements
The authors would like to acknowledge the support of the National Natural Science Foundation of China (Grant Nos. 41674037, 11701310) and Natural Science Foundation of Shandong Province (ZR2016AQ04).
Citation
Wu, Z., Han, X. and Li, G. (2021), "Learning solutions to a Cauchy problem for the modified Helmholtz equations using LS-SVM", Engineering Computations, Vol. 38 No. 2, pp. 1024-1036. https://doi.org/10.1108/EC-04-2019-0168
Publisher
:Emerald Publishing Limited
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