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AE and EA robustness of interval circulant matrices in max-min algebra

机译:最大最小代数中区间循环矩阵的AE和EA鲁棒性

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摘要

Max-min algebra is defined as a linearly ordered set with two binary operations. Classical addition and multiplication are replaced by maximum and minimum, respectively. A square matrix is robust, if its eigenspace is achieved starting at arbitrary vector and it is X-robust if its eigenspace is achieved starting at each vector from a given interval vector X. The EA and AE robustness and X-robustness of interval circulant matrices over max-min algebra are defined. Polynomial algorithms for checking these types of robustness and X-robustness are given. (C) 2019 Elsevier B.V. All rights reserved.
机译:最大-最小代数定义为具有两个二进制运算的线性有序集。经典加法和乘法分别用最大值和最小值代替。如果方阵的特征空间是从任意矢量开始的,则平方矩阵是鲁棒的;如果从给定的间隔向量X的每个矢量开始,其平方的矩阵是X-鲁棒的。区间循环矩阵的EA和AE鲁棒性定义了最大-最小代数。给出了用于检查这些类型的鲁棒性和X鲁棒性的多项式算法。 (C)2019 Elsevier B.V.保留所有权利。

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