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Name Period Date: Essential Question: What is an objective function? Linear Programming Topic: Standard: A REI.12 Objective: Graph the solutions to a linear inequality in two variables as a half plane
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How to Fill Out Linear Programming - bmcclenahanb:

01
Start by defining the problem: Determine what decision needs to be made or what goal needs to be achieved using linear programming. This may involve maximizing or minimizing an objective function while satisfying certain constraints.
02
Identify the decision variables: These are the unknown quantities that need to be determined in order to solve the problem. Assign appropriate symbols to represent these variables.
03
Formulate the objective function: This function represents the goal or objective of the problem. It should be a linear expression involving the decision variables.
04
Establish the constraints: These are the conditions or limitations that must be satisfied in the problem. They should be expressed as linear inequalities or equalities involving the decision variables.
05
Write the complete linear programming problem: Combine the objective function and the constraints to form a mathematical representation of the problem. Use appropriate notation and symbols.
06
Solve the linear programming problem: Employ mathematical techniques such as the simplex method or graphical method to determine the optimal solution to the problem. This involves finding the values of the decision variables that yield the maximum or minimum value of the objective function, while satisfying all the constraints.
07
Interpret and evaluate the solution: Once the optimal solution is obtained, analyze the results and interpret them in the context of the original problem. Evaluate whether the solution is practical and meets the desired goals.
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Implement and monitor the solution: Apply the solution in the real-world setting, making necessary adjustments and monitoring its performance over time.

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Linear programming is a mathematical method for determining a way to achieve the best outcome in a given mathematical model.
Anyone who is working on optimization problems or decision-making processes may need to use linear programming.
Linear programming is typically filled out using mathematical equations and constraints to model the problem at hand.
The purpose of linear programming is to find the best solution to a problem with linear constraints.
Information such as the objective function, decision variables, constraints, and the feasible region must be reported on linear programming.
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