As compared with the earlier international methods for quadratic transportation problem (QTP) which are based on the Lagrangian relaxation approach, the proposed algorithm helps to understand the ...

An example of quadratic regression in PROC GLM follows. These data are taken from Draper and Smith (1966, p. 57). Thirteen specimens of 90/10 Cu-Ni alloys are tested in a corrosion-wheel setup in ...

One of the most common problems in predictive analytics is variable selection for regression. Direct variable selection using optimization has long been dismissed by the statistics/analytics community ...

These states are then assigned cost function values. Using a quadratic regression model, the cost function is mapped to the entire modulation region. After solving a constrained optimization problem ...

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 ...

We present a direct analytical algorithm for solving transportation problems with quadratic function cost coefficients. The algorithm uses the concept of absolute points developed by the authors in ...