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Error Bound Estimation and The Solution Structure for the Generalized Linear Complementarity Problem

机译:误差伯爵估计与广义线性互补问题的解决方案结构

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In this paper, we consider the generalized linear complementarity problem (GLCP), we first develop some equivalent reformulations of the problem under milder conditions and then characterize the solution set of the GLCP. Based on this, an easily computable global error bound for the GLCP is established. These conclusions obtained in this paper can be viewed as extensions of previously known results.
机译:在本文中,我们考虑广泛性的线性互补问题(GLCP),我们首先在Milder条件下开发出问题的一些等效重整,然后表征了GLCP的解决方案集。基于此,建立了一个易于计算的GLCP的全局误差。本文获得的结论可以被视为先前已知结果的延伸。

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