Abstract
In this paper, the MQ Quasi-interpolation is used to data interpolation, extrapolation and function fitting examples, and compared with the effect of RBF neural network. Using the property of the one-order derivative of MQ Quasi-interpolation, the nonlinear burgers equation is solved by forward difference and Crank-Nicolson finite difference method. The results of numerical experiments verify its convergence and Stability.
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