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A Right-Preconditioning Process for the Formal-Algebraic Approach to Inner and Outer Estimation of AE-Solution Sets

机译:AE解决方案集内外估计的形式代数方法的正确预处理过程

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A right-preconditioning process for linear interval systems has been presented by Neumaier in 1987. It allows the construction of an outer estimate of the united solution set of a square linear interval system in the form of a parallelepiped. The denomination "right-preconditioning" is used to describe the preconditioning processes which involve the matrix product AC in contrast to the (usual) left-preconditioning processes which involve the matrix product CA, where A and C are respectively the interval matrix of the studied linear interval system and the preconditioning matrix. The present paper presents a new right-preconditioning process similar to the one presented by Neumaier in 1987 but in the more general context of the inner and outer estimations of linear AE-solution sets. Following the spirit of the formal-algebraic approach to AE-solution sets estimation, summarized by Shary in 2002, the new right-preconditioning process is presented in the form of two new auxiliary interval equations. Then, the resolution of these auxiliary interval equations leads to inner and outer estimates of AE-solution sets in the form of parallelepipeds. This right-preconditioning process has two advantages: on one hand, the parallelepipeds estimates are often more precise than the interval vectors estimates computed by Shary. On the other hand, in many situations, it simplifies the formal algebraic approach to inner estimation of AE-solution sets. Therefore, some AE-solution sets which were almost impossible to inner estimate with interval vectors, become simple to inner estimate using parallelepipeds. These benefits are supported by theoretical results and by some experimentations on academic examples of linear interval systems.
机译:Neumaier在1987年提出了一种对线性区间系统进行正确预处理的方法。它允许构造平行六面体形式的方形线性区间系统的联合解集的外部估计。术语“右预处理”用于描述涉及矩阵乘积AC的预处理过程,而不是涉及(通常)涉及矩阵乘积CA的左预处理过程,其中A和C分别是所研究的区间矩阵线性区间系统和预处理矩阵。本文提出了一种类似于Neumaier于1987年提出的新的权利预处理程序,但在线性AE解集的内部和外部估计的更一般的上下文中。遵循Shary在2002年总结的用于AE解集估计的形式代数方法的精神,以两个新的辅助区间方程的形式介绍了新的右预处理过程。然后,这些辅助间隔方程的解析导致以平行六面体的形式对AE解集进行内部和外部估计。这种正确的预处理过程有两个优点:一方面,平行六面体的估计通常比Shary计算的间隔矢量估计更精确。另一方面,在许多情况下,它简化了对AE解集进行内部估计的形式代数方法。因此,使用间隔向量几乎无法进行内部估计的一些AE解集,对于使用平行六面体的内部估计来说变得简单。这些好处得到了理论结果和一些关于线性间隔系统的学术实例的实验的支持。

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