The points where constraints intersect on the boundary of the feasible region are termed as the Extreme point.
There are a few different types of extreme points that can be important to consider when solving optimization problems:
1. There are local extreme points where the first derivative of the objective function is zero.
2. There are global extreme points where the objective function takes on its extreme values over the entire feasible region.
3. There are extreme points where the constraints intersect on the boundary of the feasible region.
Each of these types of extreme points can be important to consider when trying to optimize a function.
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