We present a new heuristic for the global solution of box constrained quadratic problems, based on the classical results which hold for the minimization of quadratic problems with ellipsoidal constraints. The approach is tested on several problems randomly generated and on graph instances from the DIMACS challenge, medium size instances of the Maximum Clique Problem. The numerical results seem to suggest some effectiveness of the proposed approach
Data-driven technologies have demonstrated their potential on various scientific and industrial appl...
this paper we define Newton-type algorithms for the solution of box constrained quadratic programmin...
In this paper, continuous and differentiable nonlinear programming models and algo-rithms for packin...
We present a new heuristic for the global solution of box constrained quadratic problems, based on t...
Constraints are often represented as ellipsoids. One of the main advantages of such constrains is th...
In this paper we establish conditions which ensure that a feasible point is a global minimizer of a ...
The aim of this paper is to propose an algorithm, based on the optimal level solutions method, which...
The ELLIPSOID global constraint is one of the few global constraints used for reasoning about convex...
The problem of packing ellipsoids in the three-dimensional space is considered in the present work. ...
Abstract We propose a branch-and-bound algorithm for minimizing a not necessarily convex quadratic f...
We propose a branch-and-bound algorithm for minimizing a not necessarily convex quadratic function o...
An algorithm is proposed for the problem of minimizing a quadratic function subject to an ellipsoida...
AbstractA new method is proposed for solving box constrained global optimization problems. The basic...
We propose a branch-and-bound algorithm for minimizing a not necessarily convex quadratic function o...
We propose two exact approaches for non-convex quadratic integer minimization subject to linear cons...
Data-driven technologies have demonstrated their potential on various scientific and industrial appl...
this paper we define Newton-type algorithms for the solution of box constrained quadratic programmin...
In this paper, continuous and differentiable nonlinear programming models and algo-rithms for packin...
We present a new heuristic for the global solution of box constrained quadratic problems, based on t...
Constraints are often represented as ellipsoids. One of the main advantages of such constrains is th...
In this paper we establish conditions which ensure that a feasible point is a global minimizer of a ...
The aim of this paper is to propose an algorithm, based on the optimal level solutions method, which...
The ELLIPSOID global constraint is one of the few global constraints used for reasoning about convex...
The problem of packing ellipsoids in the three-dimensional space is considered in the present work. ...
Abstract We propose a branch-and-bound algorithm for minimizing a not necessarily convex quadratic f...
We propose a branch-and-bound algorithm for minimizing a not necessarily convex quadratic function o...
An algorithm is proposed for the problem of minimizing a quadratic function subject to an ellipsoida...
AbstractA new method is proposed for solving box constrained global optimization problems. The basic...
We propose a branch-and-bound algorithm for minimizing a not necessarily convex quadratic function o...
We propose two exact approaches for non-convex quadratic integer minimization subject to linear cons...
Data-driven technologies have demonstrated their potential on various scientific and industrial appl...
this paper we define Newton-type algorithms for the solution of box constrained quadratic programmin...
In this paper, continuous and differentiable nonlinear programming models and algo-rithms for packin...