Nonlinear programming is a numerical technique of computing the "optimum levels" of "activities" for an organization or enterpreneur wishing to maximize an "objective function" (say, profit). While ...

Experience using the simplex method as implemented in CPLEX, an interior point method as implemented in OB1, and a hybrid interior point/simplex approach is reported. The resulting procedure ...

Learn what are transportation problems, how to solve them using linear programming and the simplex method, and what are the benefits and drawbacks of this technique.

This paper presents a non-intrusive load monitoring (NILM) model based on two-stage mixed-integer linear programming theory. Compared with other mixed integer o ...

As one of the most critical components in modern LP solvers, presolve in linear programming (LP) employs a rich set of presolvers to remove different types of redundancy in input problems by ...

Mathematical Optimization in Julia. Local, global, gradient-based and derivative-free. Linear, Quadratic, Convex, Mixed-Integer, and Nonlinear Optimization in one simple, fast, and differentiable ...