Copositivity meets D. C. optimization

IF 1.1 Q3 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Journal of Dynamics and Games Pub Date : 2021-01-01 DOI:10.3934/jdg.2021022
A. Moudafi, P. Maingé
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引用次数: 0

Abstract

Based on a work by M. Dur and J.-B. Hiriart-Urruty[3], we consider the problem of whether a symmetric matrix is copositive formulated as a difference of convex functions problem. The convex nondifferentiable function in this d.c. decomposition being proximable, we then apply a proximal-gradient method to approximate the related stationary points. Whereas, in [3], the DCA algorithm was used.

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复合性满足直流优化
根据M. Dur和J.-B.的作品改编。hirart - urruty,我们考虑一个对称矩阵是否可合成的问题作为凸函数的差分问题。由于该dc分解中的凸不可微函数是近似的,因此我们采用近似梯度方法来近似相关的平稳点。而在[3]中,则使用DCA算法。
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来源期刊
Journal of Dynamics and Games
Journal of Dynamics and Games MATHEMATICS, INTERDISCIPLINARY APPLICATIONS-
CiteScore
2.00
自引率
0.00%
发文量
26
期刊介绍: The Journal of Dynamics and Games (JDG) is a pure and applied mathematical journal that publishes high quality peer-review and expository papers in all research areas of expertise of its editors. The main focus of JDG is in the interface of Dynamical Systems and Game Theory.
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