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CBSE Board Examination 2024 · Section A · 1 mark

Q10: A linear programming problem optimises a linear function

The question

A linear programming problem deals with the optimization of a/an :

(A) logarithmic function

(B) linear function

(C) quadratic function

(D) exponential function

Exam answer

In a linear programming problem, the objective function Z=ax+byZ = ax + by is linear, and it is maximised or minimised subject to linear constraints.

Why?

"Optimization" means finding the maximum or the minimum value. In a linear programming problem the quantity being optimised is the objective function.

It is called linear because each variable appears only to the first power, multiplied by a constant, with no products such as xyxy⁠.

In Z=ax+byZ = ax + by⁠, xx and yy have power 11⁠. There is no x2x^2 (quadratic), no log⁡x\log x (logarithmic) and no exe^x (exponential).

Why?

For example, Z=3x+2yZ = 3x + 2y is linear. Z=x2+yZ = x^2 + y would be quadratic, and that is not a linear programming problem. This rules out (A), (C) and (D).

Answer: (B) linear function

Where this comes from

Chapter 12, Linear Programming: Linear programming: the objective function.

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