What Point In The Feasible Region Maximizes The Objective Function

What Point In The Feasible Region Maximizes The Objective Function. Since objective function is not given in the question so i will explain the process. (0,0), (0,1), (1.5,1.5) and (3,0) we know that.

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Evaluate the function when x=1. Ex2] is the feasible region determined by the system of constraints x≥0, y≥0 and x+y≤4. One or more constraint in the problem formulation is redundant.

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(a) graph the feasible region. 1) (10 points) solve the linear programming problem with the graphical method.

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X>=2 y>=0 3x+2y>=12 minimum for c = x + 5 y please help me, im confused on how to start this In a linear programming problem, optimum point is on a vertex of the feasible region.

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Evaluate the function when x=1. Contains all the points that satisfy all the constraints objective function:

To find the point in the feasible region that maximizes the objective function, replace each ordered pair of vertices in the objective function and then compare the results.

(0,0),(0,1),(1.5,1.5) and (3,0) we know that. Show work (if needed please attached a sheet with your calculations) maximize : Each vertex of the feasible set is known as a corner point.

Region is called the feasible set, and it represents all possible solutions to the problem.

To find the point in the feasible region that maximizes the objective function, replace each ordered pair of vertices in the objective function and then compare the results. Write the input and output as a set of ordered pairs, and identify the domain and range of the ordered pair. Corner points are o(0, 0), a (4, 0) and b (o, 4).

The feasible region for the problem is an empty set.

What point in the feasible region maximizes the objective function? What point in the feasible region maximizes the objective function? What point in the feasible region maximizes the objective function?

Enter your answer and show all the steps that you use to solve this problem in the space provided.

Y ≤ 1/3x + 3. Ex2] is the feasible region determined by the system of constraints x≥0, y≥0 and x+y≤4. One or more constraint in the problem formulation is redundant.

Correct answer to the question note:

Then the point (3,0) maximizes. Given the system of constraints, name all vertices of the feasible region. In a linear programming problem, optimum point is on a vertex of the feasible region.