The corner point method is where you find vertices of the feasible region from the constraints, substitute them into the objective function, and pick the optimal one. If the region is unbounded, we first check if a minimum or maximum even exists by considering the inequalities; sometimes there is no solution.
Honestly, I always get mixed up when the graph just stretches on and on—it feels like my own study hours, stretching into the night with no end in sight. The trick is to see which way the objective function line moves. It’s easier with a bounded region, like the four walls of my small room under this lamp.
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