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The Graphical Method is a simple and visual way to solve linear programming problems, especially when there are only two decision variables.
This method involves plotting the constraints as linear inequalities on an XY-plane. The region where all constraints overlap is called the feasible region. The solution lies at one of the corner points (vertices) of this region.
To find the optimal solution, you:
- Plot the constraints on a graph.
- Identify the feasible region.
- Calculate the value of the objective function at each corner point.
- Choose the point that gives the maximum or minimum value (as required).
It’s a quick and effective method for small problems and helps visualize how different constraints interact.
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3 Comments
Operations research can get very abstract, but your examples made the topic much more tangible.
ReplyDelete"This was the first time I actually followed a graphical LP example from start to finish."
ReplyDeleteThat’s a win! Happy to make it understandable.
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