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Comparing numerical methods for Helmholtz equation model problem
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DOI：10.1016/S0096-3003(03)00305-9.png)
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Abstract
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In this article, we implement a relatively new numerical technique, Adomian's decomposition method for solving the linear Helmholtz partial differential equations. The method in applied mathematics can be an effective procedure to obtain for the analytic and approximate solutions. A new approach to a linear or nonlinear problems is particularly valuable as a tool for Scientists and Applied Mathematicians, because it provides immediate and visible symbolic terms of analytic solution as well as its numerical approximate solution to both linear and nonlinear problems without linearization [Solving Frontier Problems of Physics: The Decomposition Method, Kluwer Academic Publishers, Boston, 1994; J. Math. Anal. Appl. 35 (1988) 501]. It does also not require discretization and consequently massive computation. In this scheme the solution is performed in the form of a convergent power series with easily computable components. This paper will present a numerical comparison with the Adomian decomposition and a conventional finite-difference method. The numerical results demonstrate that the new method is quite accurate and readily implemented. (C) 2003 Elsevier Inc. All rights reserved.
Keywords:
the Sdomian decomposition method
finite-difference method
the Helmholtz equation model problem
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