Question:

In a linear programming problem, the linear function which has to be maximized or minimized is called

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The objective function represents quantities like profit, cost, or distance.
Non-negativity restrictions (\( x, y \geq 0 \)) are almost always present in standard LPPs.
Updated On: Sep 10, 2026
  • a feasible function
  • an objective function
  • an optimal function
  • a constraint
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The Correct Option is B

Solution and Explanation

Concept:
• Linear Programming Problem (LPP) involves optimizing a linear function subject to linear constraints.
• Constraints are the system of linear inequalities or equations.
• The feasible region is the set of all points that satisfy all constraints.

Step 1:
Define the function being optimized
In any optimization problem, the goal is to find the maximum or minimum value of a specific function.
This specific function, usually denoted by \( Z = ax + by \), is defined as the objective function.

Step 2:
Distinguish between the different LPP components
Constraints are the conditions that limit the variables (e.g., \( x + y \leq 5 \)).
The feasible function refers to the values within the valid region.
The optimal value is the actual max/min numerical result obtained at the corner points.

Step 3:
Conclusion
Therefore, the function itself is called the objective function.
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