An Improved RBF Method for Solving Variational Problems Arising from Dynamic Economic Models

被引：0
作者：
A. Golbabai
A. Saeedi
机构：
[1] Iran University of Science & Technology,School of Mathematics
来源：
Computational Economics | 2015年 / 46卷
关键词：
Radial basis functions; Direct methods; Operational matrix; Dynamic economic model; Variable shape parameter;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
This paper developes a direct method for solving variational problems via a set of Radial Basis Functions (RBFs) . Operational matrices of differentiation, the product of two RBF vectors and some other formulas are derived and are utilized to propose a method which essentially reduces a variational problem to the linear system of algebraic equations. National saving problem is considered and solved by proposed method which experimentally illustrates effectiveness and applicability of the method. Some experiments are conducted in order to compare the accuracy and stability of several shape parameter strategies in these type of problems. Finally a novel shape parameter strategy is proposed which promotes accuracy and stability of the method.
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页码：275 / 285
页数：10
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