What are the key components of a linear programming problem?
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- Objective Function: A linear equation to be maximized or minimized
- Decision Variables: The variables whose values are to be determined.
- Constraints: Linear inequalities or equations that limit the values of the decision variables
- Non-negativity Restrictions: Decision variables must be non-negative.
- Feasibility Region: The set of all possible solutions that satisfy the constraints.
- Optimal Solution: The best point in the feasibility region for the objective function.
thank you so much
1. Decision Variables:
2. Objective Function:
3. Constraints
4. Non-Negativity Restrictions
5. Feasible Region
The characteristics of linear programming are
objective function
constraints
non-negativity
linearity
finiteness.
.
The characteristics of linear programming are
objective function
constraints
non-negativity
linearity
finiteness.
1. Decision Variables:
2. Objective Function:
3. Constraints
4. Non-Negativity Restrictions
5. Feasible Region