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!
thank you so much kyla
🙂
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.