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In solving the variational problem, the key is to efficiently find the targetfunction that minimizes or maximizes the specified functional. In this paper,by using the Pade approximant, we suggest a methods for the variationalproblem. By comparing the method with those based on the radial basis functionnetworks (RBF), the multilayer perception networks (MLP), and the Legendrepolynomials, we show that the method searches the target function effectivelyand efficiently.

The Pade Approximant Based Network for Variational Problems