On Sufficient Global Optimality Conditions for Bivalent Quadratic Programs with Quadratic Constraints

Yu-Jun Gong () and Yong Xia ()
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Yu-Jun Gong: State Key Laboratory of Software Development Environment, LMIB of the Ministry of Education, School of Mathematics and System Sciences, Beihang University, Beijing, 100191, P. R. China
Yong Xia: State Key Laboratory of Software Development Environment, LMIB of the Ministry of Education, School of Mathematics and System Sciences, Beihang University, Beijing 100191, P. R. China

Asia-Pacific Journal of Operational Research (APJOR), 2015, vol. 32, issue 04, 1-11

Abstract: We show the recent sufficient global optimality condition for the quadratic constrained bivalent quadratic optimization problem is equivalent to verify the zero duality gap. Then, based on the optimal parametric Lagrangian dual model, we establish improved sufficient conditions by strengthening the dual bound.

Keywords: Bivalent quadratic optimization; global optimality; sufficient optimality conditions; Lagrangian dual (search for similar items in EconPapers)
Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:wsi:apjorx:v:32:y:2015:i:04:n:s0217595915500256

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DOI: 10.1142/S0217595915500256

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