All references mentioned in Class 2 use linear goal programming (GP ... It seems most practical to let the model run for, for example, λ∈{0;0.1;…;1} and then judge the resulting diets ...

Ordinary linear regression (OLR) assumes that response variables are continuous. Generalized Linear Models (GLMs) provide an extension ... Below are three data examples which will be used in the ...

Topics include: Models and applications: extensions of the linear programming model; chance-constrained models; stochastic programs with recourse Exact optimization algorithms: extensive forms; ...

Uniquely blends mathematical theory and algorithm design for understanding and modeling real-world problems ... The book also addresses linear programming duality theory and its use in algorithm ...