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Finally, the numerical experiments, including a nonlinear Schrödinger equation, a sine-Gordon equation, a nonlinear Klein Gordon equation, and the well-known Fermi Pasta Ulam problem, are implemented in comparison with the corresponding symplectic RK methods and the prominent numerical results definitely coincide with the theories and conclusions made in this paper.
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Finally, a practical engineering optimization problem was implemented with suggested coupled BBNS and obtained good results.
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It reviews the concept of interpolation and shows how the interpolation problem is implemented by a radial basis neural network.
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