Constraint programming combined with machine learning provides a robust framework for addressing complex combinatorial problems across diverse domains such as energy management, production ...

A method is given for maximizing a linear function subject to a quadratic and a number of linear constraints. The method differs from general convex programming methods by terminating in a finite ...

In the present paper a procedure, in two phases is developed for maximizing a linear fractional functionals subject to one quadratic and a number of linear constraints. The method depends upon the ...