0
Still curious? Ask our experts.
Chat with our AI personalities
Blake
Vivi
SteveAdd your answer:
Earn +20 pts
What is infeasibility in linear programming?
In linear programming, infeasibility refers to a situation where no feasible solution exists for a given set of constraints and objective function. This can occur when the constraints are contradictory or when the feasible region is empty. Infeasibility can be detected by solving the linear programming problem and finding that no solution satisfies all the constraints simultaneously. In such cases, the linear programming problem is said to be infeasible.
What is the feasible region in linear programming?
Linear programming is just graphing a bunch of linear inequalities. Remember that when you graph inequalities, you need to shade the "good" region - pick a point that is not on the line, put it in the inequality, and the it the point makes the inequality true (like 0
What is the maximum value of 3x 4y in the feasible region?
Oh, dude, the maximum value of 3x + 4y in the feasible region is like finding the peak of a mountain in a math problem. You gotta plug in the coordinates of the vertices of the feasible region and see which one gives you the biggest number. It's kinda like finding the best topping for your pizza slice in a land of math equations.
What is the minimum value of 6x plus 5y in the feasible region excluding point (0 0)?
The answer depends on the feasible region and there is no information on which to determine that.
What is the maximum value of 4x 3y in the feasible region?
26
