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

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.

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