Nonconvex quadratic programming with box constraints (QPB) is the problem of minimizing a nonconvex quadratic function of a set of vari- ables subject to lower and upper bounds on the variables.
Nonconvex quadratic programming with box constraints is a fundamental NP -hard global optimization problem. Recently, some authors have studied a certain ...
Nonconvex quadratic programming with box constraints is a fundamental NP-hard global optimization problem. Recently, some authors have studied a certain family ...
Non-Convex Quadratic Programming with Box Constraints (QPB) is the problem of minimising a non-convex quadratic function of a set of variables, subject to lower ...
Oct 22, 2024 · This paper introduces a fundamental family of unbounded convex sets that arises in the context of non-convex mixed-integer quadratic programming ...
Nonconvex quadratic programming with box constraints is a fundamental $\mathcal{NP}$-hard global optimization problem.
Jun 13, 2016 · We present effective computational techniques for solving nonconvex quadratic programs with box constraints (BoxQP).
Abstract: In this paper, we investigate a class of nonconvex quadratic programming with box constrains. A new branch and bound algorithm is proposed.
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Non-convex quadratic programming with box constraints (QPB) is the problem of minimising a nonconvex quadratic function subject to lower and upper bounds on the ...
The global minimization of quadratic problems with box constraints naturally arises in many applications and as a subproblem of more complex optimization ...