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Inverse multi-quadric RBF for computing the weights of FD method: Application to American options

机译:用于计算FD方法权重的逆多二次RBF:在美式期权中的应用

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In this paper, we derive new exact formulas for the weights of the first and second derivatives using the radial basis function (RBF) generated by finite difference (FD) method. The considered radial function is the inverse multi-quadric (IMQ) function. Using these formulas, we compute Taylor expansions for the errors and also to construct stable approximations for fast implementations. The application of the new formulas is given in the framework of an RBF-FD method for pricing American option which has no exact solution. The discussed results are corroborated by computational experiments. (C) 2018 Elsevier B.V. All rights reserved.
机译:在本文中,我们使用由有限差分(FD)方法生成的径向基函数(RBF)得出一阶和二阶导数权重的新精确公式。所考虑的径向函数是逆多二次方(IMQ)函数。使用这些公式,我们可以计算误差的泰勒展开式,并为快速实现构建稳定的近似值。新公式的应用是在RBF-FD方法的框架内给出的,该方法用于定价美式期权,但没有确切的解决方案。计算结果证实了所讨论的结果。 (C)2018 Elsevier B.V.保留所有权利。

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