Quadratic functions are versatile, as they can be used as approximations for many other functions, as with regression analyses and have been used to model special scheduling problems. In this paper we ...

A Mixed Integer Quadratic Programming (MIQP) formulation that finds the weight estimates for a linear regression problem, where exactly 's' of those weights must be nonzero.

In polynomial regression, the values of a dependent variable (also called a response variable) are described or predicted in terms of polynomial terms involving one or more independent or explanatory ...

Feedback control problems involving autonomous quadratic systems are prevalent, yet very few software tools are available for approximating their solution. This paper represents a step forward in the ...

The following is a real data example of the implementation of robust estimators for functional quadratic regression models. This robust proposal involves robust estimators of the principal directions ...

Solve transportation problems with quadratic cost coefficients using our direct analytical algorithm. Discover the versatility and managerial guidance it offers compared to traditional methods. See a ...