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Combining Legendre's Polynomials and Genetic Algorithm in the Solution of Nonlinear Initial-Value Problems

Author

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  • Osvaldo Guimarães
  • José Roberto C. Piqueira
  • Marcio Lobo Netto

Abstract

This work develops a method for solving ordinary differential equations, that is, initial-value problems, with solutions approximated by using Legendre's polynomials. An iterative procedure for the adjustment of the polynomial coefficients is developed, based on the genetic algorithm. This procedure is applied to several examples providing comparisons between its results and the best polynomial fitting when numerical solutions by the traditional Runge-Kutta or Adams methods are available. The resulting algorithm provides reliable solutions even if the numerical solutions are not available, that is, when the mass matrix is singular or the equation produces unstable running processes.

Suggested Citation

  • Osvaldo Guimarães & José Roberto C. Piqueira & Marcio Lobo Netto, 2011. "Combining Legendre's Polynomials and Genetic Algorithm in the Solution of Nonlinear Initial-Value Problems," Mathematical Problems in Engineering, Hindawi, vol. 2011, pages 1-20, July.
  • Handle: RePEc:hin:jnlmpe:521342
    DOI: 10.1155/2011/521342
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    Cited by:

    1. Guimarães, Osvaldo & Labecca, William & Piqueira, José R.C., 2021. "Tensor solutions in irregular domains: Eigenvalue problems," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 190(C), pages 110-130.

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