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2015 Volume 25 >

Please use this identifier to cite or link to this item: http://hdl.handle.net/10525/3543

Title: Stability and Accuracy of RBF Direct Method for Solving a Dynamic Investment Model
Authors: Shayganmanesh, Ahmad
Saeedi, Ahmad
Keywords: Radial Basis Functions
accuracy
stability
variational problems
Dynamic Investment problem
Issue Date: 2015
Publisher: Institute of Mathematics and Informatics at the Bulgarian Academy of Sciences
Citation: Pliska Studia Mathematica Bulgarica, Vol. 25, No 1, (2015), 167p-174p
Abstract: In this paper we consider a Dynamic investment model. In the model, firm’s objective is maximizaing discounted sum of profits over an interval of time. The model assumes that firm’s capital in time t increases with investment and decreases with depreciation rate that can be expressed by means of differential equation. We propose a direct method for solving the problem based on Radial Basis Functions(RBFs). The authors describe operational matrices of RBFs and use them to reduce the variational problem to a static optimization problem which can be solved via some optimization techniques. Next, we describe some economic interpretation of the solution. Finally, the accuracy and stability of the Multiquadric (MQ), and Gaussian (GA) RBFs are illustrated by conducting some numerical experiments. 2010 Mathematics Subject Classification: 49Mxx; Secondary 37Mxx.
URI: http://hdl.handle.net/10525/3543
ISSN: 0204-9805
Appears in Collections:2015 Volume 25

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