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Extending the local radial basis function collocation methods for solving semi-linear partial differential equations

机译:扩展局部径向基函数搭配方法,用于求解半线性偏微分方程

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This work addresses local radial basis function (RBF) collocation methods for solving a major class of non-linear boundary value problems, i.e., Lu=f(x, u) being f a non-linear function of u. This class of problems has been largely analyzed in the BEM community. To our knowledge, few works are reported where the local RBF collocation methods (LRBFCM) based on the generalized Hermite RBF interpolation (double collocation) have been extended successfully to solve semi-linear problems even when extending to more complex nonlinear cases are not reported yet. The studied schemes are based on a strong-form approach of the PDE and an overlapping multi-domain procedure combining with standard iterative schemes. At each sub-domain, a locally meshless approximation solution by a standard or Hermite RBF expansion can be constructed. We studied also the performance respect to the shape parameter of RBF. It is confirmed that the local RBF double collocation can improve greatly the accuracy order. Some 2D benchmark problems with mixed boundary conditions showing the accuracy, convergence property and implementation issues of LRBFCM are presented.
机译:这项工作解决了用于解决主要类非线性边值问题的本地径向基函数(RBF)配合方法,即Lu = F(x,u)是U的非线性函数。 BEM社区在很大程度上分析了这类问题。据我们所知,据报道,即使在尚未报道更复杂的非线性情况下,尚未成功地延长了基于广泛的Hermite RBF插值(双重搭配)的本地RBF搭配方法(LRBFCM),尚未成功地解决半线性问题。所研究的方案基于PDE的强大方法和与标准迭代方案组合的重叠多域手术。在每个子域处,可以构造由标准或Hermite RBF扩展的局部无网格近似解。我们还研究了RBF的形状参数的性能方面。确认本地RBF双搭配可以大大提高精度顺序。介绍了一些2D基准测试,呈现了LRBFCM的准确性,收敛性和实施问题的混合边界条件。

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