Understanding the limitations
As you gain more confidence with linear programming and the problems become
more challenging, you require more complex approaches than the basic simplex
algorithm presented in this chapter. In fact, the simplex isn’t used anymore
because more sophisticated algorithms have replaced it —algorithms that geo-
metrically cut through the interior of the feasible region instead of walking
along it. These newer algorithms take a shortcut when the algorithm is clearly
looking for the solution at the wrong side of the region.
FIGURE 19-1:
Looking where
the objective
function is going
to touch the
feasible area.
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PART 5
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