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How do you graphically solve a linear programming problem with two variables?

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1. Identify the Objective Function: Define the function to maximize or minimize (e.g., ).



2. List the Constraints: Write down the inequalities that restrict the values of the variables (e.g., ).



3. Graph the Constraints:


Plot each inequality on a coordinate system.


Convert inequalities to equalities to find boundary lines and shade the feasible region.




4. Determine Feasible Region: Identify the area where all constraints overlap. This region contains all possible solutions.



5. Evaluate the Corner Points: Calculate the value of the objective function at each vertex (corner) of the feasible region.



6. Find the Optimal Solution: Identify the vertex that gives the highest (maximization) or lowest (minimization) value of the objective function.




This method allows you to visualize and determine the opti


mal solution effectively!


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thank you so much kyla

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Linear programming is a mathematical method used to optimize a linear objective function subject to linear constraints. It helps in making the best decisions for maximizing or minimizing a specific value, such as profit or cost.

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