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Fluctuation Free Matrix Representation Based Univariate Integration in Hybrid High Dimensional Model Representation (HHDMR) Over Plain; Factorized HDMR

机译:普通杂交高维模型表示(HHDMR)中的非变量集成基于非变量的矩阵表示;分解HDMR.

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High Dimensional Model Representation (HDMR) which was first proposed fifteen years ago is still under development for the construction of its new varieties It is a finite term representation of a multivariate function in terms of less variate functions Its truncation at certain level of variance serves as an approximation to the target function and the truncation level is preferred to be kept at most bivariance for practical applications. Plain HDMR is used for the functions highly additive while the Factorized HDMR is designed for dominantly multiplicative functions. The Hybrid HDMR (HHDMR) combines these two HDMR varieties into a new version of HDMR and is expected to work more efficiently than plain HDMR and FHDMR. The construction of HHDMR basically uses the components of plain HDMR since FHDMR does the same. The definite integrals appearing in the definition of these components are efficiently approximated by using the fluctuation free matrix representation method which was recently developed by M. Demiralp.
机译:首次提出的高维模型表示(HDMR)第十五年前仍在开发中,为其新品种的构建,这是一项有限的术语表示,在较少的变化功能方面,其截断在某些方差水平的截断的情况下对目标函数的近似值和截断级别是优选的,以保持在实际应用的大多数双方。普通HDMR用于功能高度附加功能,而分组HDMR专为主要乘法函数而设计。 Hybrid HDMR(HHDMR)将这两个HDMR品种与新版本的HDMR结合起来,预计比普通的HDMR和FHDMR更有效地工作。 HHDMR的构建基本上使用普通HDMR的组件,因为FHDMR相同。通过使用最近由M. Demiralp开发的波动的自由基质表示方法有效地近似于这些组分的定义中的定义积分。

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