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The investigation of the transient regimes in the nonlinear systems by the generalized classical method

Teymuraz Abbasov, +1 more
- 01 Dec 2005 - 
- Vol. 2005, Iss: 5, pp 503-519
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TLDR
In this paper, the generalized classical method (GCM) is used for solving linear and nonlinear differential equations. And the solution of the nonlinear transient regimes in the physical processes can be written as functional series with unknown coefficients.
Abstract
This paper presents the use of the generalized classical method (GCM) for solving linear and nonlinear differential equations. This method is based on the differential transformation (DT) technique. In the GCM, the solution of the nonlinear transient regimes in the physical processes can be written as a functional series with unknown coefficients. The series can be chosen to satisfy the initial and boundary conditions which represent the properties of the physical process. The unknown coefficients of the series are determined from the differential transformation of the nonlinear differential equation of the system. Therefore, the approximate solution of the nonlinear differential equation can be obtained as a closed-form series.

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Journal ArticleDOI

Heat transfer study through porous fins (Si3N4 and AL) with temperature-dependent heat generation

TL;DR: In this paper, three highly accurate and simple analytical methods, differential transformation method (DTM), Collocation Method (CM) and Least Square Method (LS), are applied for predicting the temperature distribution in a porous fin with temperature dependent internal heat generation.
Journal ArticleDOI

Application to differential transformation method for solving systems of differential equations

TL;DR: In this paper, an analytical solution for different systems of differential equations by using the differential transformation method was presented, which is in good agreement with the exact solution and Runge-Kutta method.
Journal ArticleDOI

Thermal analysis of convective fin with temperature-dependent thermal conductivity and heat generation

TL;DR: In this article, a semi-analytical method called the Differential Transformation Method (DTM) is used for solving the nonlinear temperature distribution equation in a longitudinal fin with temperature dependent internal heat generation and thermal conductivity.
Journal ArticleDOI

Heat transfer study on solid and porous convective fins with temperature-dependent heat generation using efficient analytical method

TL;DR: In this paper, a semi-analytical method called differential transformation method (DTM) was used for solving the nonlinear temperature distribution equation in solid and porous longitudinal fin with temperature dependent internal heat generation.
Journal ArticleDOI

Convection–radiation heat transfer study of moving fin with temperature-dependent thermal conductivity, heat transfer coefficient and heat generation

TL;DR: In this paper, the simultaneous convection-radiation heat transfer through a moving fin with heat generation was studied, and the optimal temperature distribution for a longitudinal rectangular fin was obtained at stationary fin-with heat generation-without radiation case.
References
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Book

Perturbation Methods

Ali H. Nayfeh, +1 more
TL;DR: This website becomes a very available place to look for countless perturbation methods sources and sources about the books from countries in the world are provided.
Book

Numerical Methods for Engineers

TL;DR: Numerical methods for engineers , Numerical method for engineers, and more.
Journal ArticleDOI

Application of differential transformation to eigenvalue problems

TL;DR: Using differential transformation to solve eigenvalue problems is introduced in this paper, where two eigen value problems are solved by the present method and the calculated results are compared closely with the results obtained by another analytical method.
Journal ArticleDOI

On the two-dimensional differential transform method

TL;DR: Analytical form solutions of two diffusion problems have been obtained and the solutions are compared very well with those obtained by decomposition method.
Journal ArticleDOI

On solving the initial-value problems using the differential transformation method

TL;DR: The proposed adaptive grid size procedure provides concise adjustment policy and raises computational efficiency of using differential transformation method to approximate solutions of linear and nonlinear initial-value problems.
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