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To fill out linear programming, follow these steps:
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Identify the objective function, which represents the goal you want to achieve.
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Define the decision variables, which are the unknowns to be determined.
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Write down the constraints, which are the limitations or restrictions of the problem.
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Set up the mathematical model by expressing the objective function and constraints in terms of the decision variables.
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Set up the flow conservation constraints, ensuring that the inflow and outflow at each node are balanced.
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Define the objective function, which specifies the goal to be achieved, such as minimizing the total cost or maximizing the total flow.
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Use a network optimization algorithm, such as the maximum flow algorithm or minimum cost flow algorithm, to find the optimal solution.

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Linear programming is a method to achieve the best outcome in a mathematical model. Network is a collection of interconnected nodes and links.
Individuals or organizations who need to optimize their resources and operations.
Linear programming and network can be filled out using mathematical models and optimization techniques.
The purpose is to optimize resources, operations, or investments to achieve the best possible outcome.
Variables, constraints, objectives, and decision variables must be reported.
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