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Enhanced Multivariate Product Representation Applied to the Remainder Term of a Multivariate Taylor Expansion Expressed as a Cauchy Integral Form

机译:增强的多变量产品表示应用于多元泰勒膨胀的剩余项,表达为Cauchy Integral形式

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Enhanced Multivariate Product Representation (EMPR) provides a better approximation for multivariate functions just by using less expansion terms compared to High Dimensional Model Representation (HDMR). This is done via so called support functions. Fluctuationlessness theorem provides us with a good approximation of integrated expressions under certain conditions. Taking a Taylor expansion of a multivariate function with the remainder term written in integral form and transforming the remainder part to a cauchy contour integral followed by the application of EMPR over the variables and if necessary calculating the support functions via fluctuationlessness takes us to better approximations of multivariate functions.
机译:增强的多变量产品表示(EMPR)为多变量函数提供了更好的近似,与高维模型表示(HDMR)相比,通过使用较少的扩展术语来提供多变量函数。这是通过所谓的支持功能完成的。无波动性定理为我们提供了在某些条件下的综合表达的良好近似。采用多元函数的泰勒膨胀与剩余的术语以整体形式写入并将其余部分转换为Cauchy轮廓积分,然后在变量上应用EMPL,如果需要通过无波动计算支持功能,请将我们带到更好的近似多变量功能。

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