A female bodybuilder is designing her diet leading up to a competition. To meet her macronutrient goals, she needs to consume at least 240 grams of protein and at least 30 grams of fat per day. Additionally, she needs to eat at most 120 grams of carbohydrates per day. Her goal is to meet these goals while minimizing her sodium intake. She plans to eat only three foods: eggs, white rice, and oatmeal. Each serving of eggs has 6 grams of protein, 5 grams of fat, and no carbohydrates. Each serving of white rice has 4 grams of protein, no fat, and 40 grams of carbohydrates. Finally, each serving of oatmeal has 6 grams of protein, 3 grams of fat, and 20 grams of carbohydrates. The eggs, white rice, and oatmeal has 60, 2, and 80 units of sodium respectively. Define the decision variables. What is the objective? Convert the objective to a maximization objective. Give all constraints for this linear programming problem. Give all constraints for this linear programming problem so that all inequalities are in ≤ form. Convert the linear programming problem to a system of linear equations by introducing the appropriate slack variables and M.

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A female bodybuilder is designing her diet leading up to a competition. To meet her macronutrient goals, she needs to consume at least 240 grams of protein and at least 30 grams of fat per day. Additionally, she needs to eat at most 120 grams of carbohydrates per day. Her goal is to meet these goals while minimizing her sodium intake. She plans to eat only three foods: eggs, white rice, and oatmeal. Each serving of eggs has 6 grams of protein, 5 grams of fat, and no carbohydrates. Each serving of white rice has 4 grams of protein, no fat, and 40 grams of carbohydrates. Finally, each serving of oatmeal has 6 grams of protein, 3 grams of fat, and 20 grams of carbohydrates. The eggs, white rice, and oatmeal has 60, 2, and 80 units of sodium respectively.

  1. Define the decision variables.

  2. What is the objective? Convert the objective to a maximization objective.

  3. Give all constraints for this linear programming problem.

  4. Give all constraints for this linear programming problem so that all inequalities are in ≤ form.

  5. Convert the linear programming problem to a system of linear equations by introducing the appropriate slack variables and M.

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