3 - Linear programming Flashcards
A linear programming model (LP) has:
a linear objective function (to be minimized or maximized)
linear constraints that limit the degree to which the objective can be pursued
a feasible region defining valid solutions (it may be empty)
an optimal solution is a feasible solution resulting in the largest possible objective
function value when maximizing (or smallest when minimizing)
A linear program is in standard form when:
the objective is a minimization
all the variables are non-negative
all the constraints are equalities
Searching an optimal solution in linear programming
It can be shown that:
The feasible region for any LP will be a convex set
The feasible region for any LP has only a finite number of extreme points
Any LP that has an optimal solution has an extreme point that is optimal
General idea of the simplex method