Question:

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

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An objective function is always expressed in terms of decision variables, usually written as $Z = cx + dy$.
  • 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 Problems (LPP) involve optimizing a linear mathematical relationship under specific limitations. Let us define the key terminology used in LPP:
Objective Function: The linear function $Z = ax + by$ that needs to be maximized (e.g., maximizing profit) or minimized (e.g., minimizing costs).
Constraints: The system of linear inequalities or equations that restrict the values of decision variables.
Feasible Region: The common region determined by all given constraints.

Step 1: Analyze the definition of an objective function.

By definition, any optimization problem requires a target goal or function to measure performance. In LPP, this mathematical relation represents the core outcome we wish to drive to its best extreme (maximum or minimum). This function is universally called the Objective Function. Therefore, option (B) is the correct statement.
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