A comparison study between decomposition method and its modification for solving different kinds of PDEs is presented. To demonstrate how these decomposition methods are effective and reliable for solving the non-linear PDEs, solutions of some its kinds subjected to initial conditions are attained by these methods. In the application of the methods, it is clearly noticed that there is no need to convert the nonlinear terms into the linear ones due to the Adomian polynomials. In addition to this simplicity, it is seen that each method gives the same exact solution with variant time of implementation, rapid convergent solution series, and computational calculus. When the exact solution is not reached, we use truncated series. If the truncated series may be inaccurate in many regions. In order to enlarge the convergence domain of the truncated series, Laplace transform to the Adomian’s series solution have been applied, and yielding good results. A new modification of decomposition method is proposed to overcome the computational difficulties, as well as a comparison of the results found to those found by other modifications.
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -A comparison study between decomposition method and its modification for solving different kinds of PDEs is presented. To demonstrate how these decomposition methods are effective and reliable for solving the non-linear PDEs, solutions of some its kinds subjected to initial conditions are attained by these methods. In the application of the methods, it is clearly noticed that there is no need to convert the nonlinear terms into the linear ones due to the Adomian polynomials. In addition to this simplicity, it is seen that each method gives the same exact solution with variant time of implementation, rapid convergent solution series, and computational calculus. When the exact solution is not reached, we use truncated series. If the truncated series may be inaccurate in many regions. In order to enlarge the convergence domain of the truncated series, Laplace transform to the Adomian's series solution have been applied, and yielding good results. A new modification of decomposition method is proposed to overcome the computational difficulties, as well as a comparison of the results found to those found by other modifications. 124 pp. Englisch. Nº de ref. del artículo: 9786204201030
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Librería: moluna, Greven, Alemania
Kartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Mohammed Tawfiq Luma NajiProfessor in parallel processing - Neural network at the Department of Mathematics University of Baghdad Iraq, has more than 200 researches published in international, Arab and local magazines, supervised mor. Nº de ref. del artículo: 510206130
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Librería: AHA-BUCH GmbH, Einbeck, Alemania
Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - A comparison study between decomposition method and its modification for solving different kinds of PDEs is presented. To demonstrate how these decomposition methods are effective and reliable for solving the non-linear PDEs, solutions of some its kinds subjected to initial conditions are attained by these methods. In the application of the methods, it is clearly noticed that there is no need to convert the nonlinear terms into the linear ones due to the Adomian polynomials. In addition to this simplicity, it is seen that each method gives the same exact solution with variant time of implementation, rapid convergent solution series, and computational calculus. When the exact solution is not reached, we use truncated series. If the truncated series may be inaccurate in many regions. In order to enlarge the convergence domain of the truncated series, Laplace transform to the Adomian's series solution have been applied, and yielding good results. A new modification of decomposition method is proposed to overcome the computational difficulties, as well as a comparison of the results found to those found by other modifications. Nº de ref. del artículo: 9786204201030
Cantidad disponible: 1 disponibles
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -A comparison study between decomposition method and its modification for solving different kinds of PDEs is presented. To demonstrate how these decomposition methods are effective and reliable for solving the non-linear PDEs, solutions of some its kinds subjected to initial conditions are attained by these methods. In the application of the methods, it is clearly noticed that there is no need to convert the nonlinear terms into the linear ones due to the Adomian polynomials. In addition to this simplicity, it is seen that each method gives the same exact solution with variant time of implementation, rapid convergent solution series, and computational calculus. When the exact solution is not reached, we use truncated series. If the truncated series may be inaccurate in many regions. In order to enlarge the convergence domain of the truncated series, Laplace transform to the Adomian's series solution have been applied, and yielding good results. A new modification of decomposition method is proposed to overcome the computational difficulties, as well as a comparison of the results found to those found by other modifications.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 124 pp. Englisch. Nº de ref. del artículo: 9786204201030
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Librería: preigu, Osnabrück, Alemania
Taschenbuch. Condición: Neu. ADM and Its Modification for Solving PDEs | Decomposition Method and its Modification for Solving Partial Differential Equations | Luma Naji Mohammed Tawfiq (u. a.) | Taschenbuch | Englisch | 2021 | LAP LAMBERT Academic Publishing | EAN 9786204201030 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Nº de ref. del artículo: 120576373
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