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

机译:使用LS-SVM对改进的Helmholtz方程的Cauchy问题的解决方案

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摘要

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.
机译:目的本文的目的是开发基于最小二乘支持向量机方法的网眼算法,用于改进的Helmholtz方程的数值模拟。 设计/方法/方法提出的方法涉及改进的Helmholtz方程的Cauchy问题。 该算法将问题转换为二次编程。 它可以分为三个步骤。 首先,分配一些培训点。 然后,构建近似函数。 最后,估计形状参数。 结果讨论了所提出的方法的稳定性。 进行数值实验以检查算法的效率。 发现该方法对于修改的Helmholtz方程的不良问题是可行的。 原创性/值最初是遵循所提出的方法来首次解决修改的Helmholtz方程,并且获得了预期结果。

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