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    The graphical method is a straightforward approach to solving linear programming problems (LPP) with two variables. It involves plotting constraints on a graph, identifying the feasible region, and determining the optimal solution by evaluating the objective function at specific points.

    Key Concepts in Linear Programming

    1. Objective Function: A linear function, such as Z = ax + by, to be maximized or minimized.

    2. Constraints: Linear inequalities that define the feasible region, e.g., x + y ≤ 40.

    3. Feasible Region: The common area on the graph satisfying all constraints, including non-negativity (x ≥ 0, y ≥ 0).

    4. Optimal Solution: The point in the feasible region that gives the maximum or minimum value of the objective function.

    Steps to Solve Using the Graphical Method

    Corner Point Method

    1. Formulate the problem mathematically, defining the objective function and constraints.

    2. Plot the constraints on a graph and identify the feasible region.

    3. Determine the vertices (corner points) of the feasible region.

    4. Evaluate the objective function at each corner point.

    5. Identify the maximum or minimum value based on the problem's requirements.

    How to solve linear programming problems?
    Linear programming is the simplest way of optimizing a problem. Through this method, we can formulate a real-world problem into a mathematical model. There are various methods for solving Linear Programming Problems and one of the easiest and most important methods for solving LPP is the graphical method.
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    Linear programming - Model formulation, Graphical Method
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