
The decomposition method, proposed by \textit{G. Adomian} [J. Math. Anal. Appl. 102, 420--434 (1984; Zbl 0554.60065)], used initially to solve partial differential equations, has been extended to solve a wide class of problems: linear and nonlinear deterministic and stochastic problems, from physics, biology and chemical reactions. The key of this method is to decompose the nonlinear term in the equations into a series of polynomials (Adomian polynomials). In this paper, the authors develop a reliable technique for calculating Adomian polynomials for a nonlinear operator. The algorithm can be easily programmed in Maple and can be applied for solving nonlinear differential equations (initial value problems and boundary value problems).
nonlinear differential equations, algorithm, Finite element, Rayleigh-Ritz, Galerkin and collocation methods for ordinary differential equations, Numerical solutions to equations with nonlinear operators, nonlinear operator equation, Symbolic computation and algebraic computation, Adomian polynomials, symbolic computation, Iterative procedures involving nonlinear operators, Packaged methods for numerical algorithms, Adomian decomposition method, Spectral, collocation and related methods for initial value and initial-boundary value problems involving PDEs
nonlinear differential equations, algorithm, Finite element, Rayleigh-Ritz, Galerkin and collocation methods for ordinary differential equations, Numerical solutions to equations with nonlinear operators, nonlinear operator equation, Symbolic computation and algebraic computation, Adomian polynomials, symbolic computation, Iterative procedures involving nonlinear operators, Packaged methods for numerical algorithms, Adomian decomposition method, Spectral, collocation and related methods for initial value and initial-boundary value problems involving PDEs
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