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has been cited by the following article:
TITLE: An Effective Algorithm for Quadratic Optimization with Non-Convex Inhomogeneous Quadratic Constraints
AUTHORS: Kaiyao Lou
KEYWORDS: Nonconvex Inhomogeneous Quadratic Constrained Quadratic Optimization, Semidefinite Programming Relaxation, Np-Hard
JOURNAL NAME: Advances in Pure Mathematics, Vol.7 No.4, April 30, 2017
ABSTRACT: This paper considers the NP (Non-deterministic Polynomial)-hard problem of finding a minimum value of a quadratic program (QP), subject to m non-convex inhomogeneous quadratic constraints. One effective algorithm is proposed to get a feasible solution based on the optimal solution of its semidefinite programming (SDP) relaxation problem.