This article also explains why assuming a linear relationship between the independent and dependent variable might be inappropriate, and describes how to use splines or fractional polynomials to model ...

Proper handling of continuous variables is crucial in healthcare research, for example, within regression modelling for descriptive, explanatory, or predictive purposes. However, inadequate methods ...

Researchers utilize mixed-integer linear programming and nonlinear programming formulations for neural networks, (26−30) tree ensembles, (31−34) and decision trees. (9,35,36) Additionally, several ...

This paper describes a successful implementation of a decision support system that is used by the fleet management division at North American Van Lines to plan fleet configuration. At the heart of the ...

NVIDIA's cuOpt leverages GPU technology to drastically accelerate linear programming, achieving performance up to 5,000 times faster than traditional CPU-based solutions.

Interactive techniques encourage the decision maker to exploit both the problem and its preference structure in mathematical programming models in which multiple objective functions are explicitly ...

Is there a way of using a decision variable as an index of an array? Alternatively, I defined a decision variable that is 1 if the value "i" of the discrete function must be taken, and 0 otherwise, ...