Copositivity meets D. C. optimization
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<p style='text-indent:20px;'>Based on a work by M. Dur and J.-B. Hiriart-Urruty[<xref ref-type="bibr" rid="b3">3</xref>], 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 [<xref ref-type="bibr" rid="b3">3</xref>], the DCA algorithm was used.</p>
2013 ◽
Vol 21
(11)
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pp. 2255-2266
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2014 ◽
Vol 59
(8)
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pp. 2277-2282
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2017 ◽
Vol 18
(4)
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pp. 873-906
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1988 ◽
Vol 61
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pp. 437-460
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2005 ◽
Vol 133
(1-4)
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pp. 23-46
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2012 ◽
Vol 41
(1-2)
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pp. 153-169
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1959 ◽
Vol 9
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pp. 707-713
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2020 ◽
Vol 187
(1)
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pp. 105-132