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Sadeghi, S.
- The Differential Transform Method for Solving Multidimensional Partial Differential Equations
Abstract Views :416 |
PDF Views:165
Authors
Affiliations
1 Department of Mathematics, University of Mazandaran, Babolsar, IR
2 Department of Mathematical Sciences, Delaware State University, Dover, DE-19901, US
1 Department of Mathematics, University of Mazandaran, Babolsar, IR
2 Department of Mathematical Sciences, Delaware State University, Dover, DE-19901, US
Source
Indian Journal of Science and Technology, Vol 5, No 2 (2012), Pagination: 2009-2012Abstract
In this work, an analytical solution of linear and nonlinear multidimensional partial differential equation is deduced by the Differential Transform Method (DTM). Some numerical examples are presented to demonstrate the efficiency and reliability of this method.Keywords
Differential Transform Method, Multidimensional Partial Differential EquationFull Text
References
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- New Mixed Method of CHARM-RAS for Generating Regional Input-Output Tables (RIOTs) of Gilan and Hormozgan Provinces, Iran
Abstract Views :479 |
PDF Views:4
Authors
A. A. Banouei
1,
P. Mohajeri
1,
J. Banouei
2,
Z. Ziyaei
3,
S. Tavassoli
3,
Z. Eghtesadi
3,
S. Sadeghi
3
Affiliations
1 Allameh Tabataba'i University, Tehran, IR
2 Eco-College of Insurance, Allameh Tabataba'i University, Tehran, IR
3 Allameh Tabataba'i University, IR
1 Allameh Tabataba'i University, Tehran, IR
2 Eco-College of Insurance, Allameh Tabataba'i University, Tehran, IR
3 Allameh Tabataba'i University, IR
Source
Artha Vijnana: Journal of The Gokhale Institute of Politics and Economics, Vol 59, No 4 (2017), Pagination: 302-324Abstract
The application of CHARM for the estimation of RIOTs needs two residuals: exports and value added. The first one seems to be plausible whereas the second one is not appropriate for those countries like Iran which have regional accounts. The comparison of the regional sectoral value added and the regional GDP figures of Gilan and Hormozgan provinces derived from the CHARM method with corresponding official figures reveal underestimation of 2.4 per cent for Gilan province and overestimation of 9.9 per cent for Hormozgan province. These deviations are more pronounced in regional sectoral value added of two provinces. These observations raise an important question: why one should overlook and/or unnecessarily adjust the official data? To solve this issue a new mixed CHARM-RAS method is proposed. The overall findings show that first of all, as compared to the CHARM method, the proposed mixed method guarantees the regional sectoral value added and GDP of two provinces provided by SCI. Secondly, the degree of accuracy between two methods reveals that the proposed method outperforms the CHARM method in all the statistical methods.
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