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What are the key components of a linear programming problem?

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  1. Objective Function: A linear equation to be maximized or minimized 
  2. Decision Variables: The variables whose values are to be determined.
  3. Constraints: Linear inequalities or equations that limit the values of the decision variables 
  4. Non-negativity Restrictions: Decision variables must be non-negative.
  5. Feasibility Region: The set of all possible solutions that satisfy the constraints.
  6. Optimal Solution: The best point in the feasibility region for the objective function.

 

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thank you so much

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1. Decision Variables:

2. Objective Function:

3. Constraints

4. Non-Negativity Restrictions

5. Feasible Region

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  The characteristics of linear programming are

objective function

constraints

non-negativity

linearity

finiteness.

 


.

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The characteristics of linear programming are


objective function


constraints


non-negativity


linearity


finiteness.

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1. Decision Variables:


2. Objective Function:


3. Constraints


4. Non-Negativity Restrictions


5. Feasible Region

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