Q10: A linear programming problem optimises a linear function
A linear programming problem deals with the optimization of a/an :
(A) logarithmic function
(B) linear function
(C) quadratic function
(D) exponential function
In a linear programming problem, the objective function 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 .
In , and have power . There is no (quadratic), no (logarithmic) and no (exponential).
Why?
For example, is linear. would be quadratic, and that is not a linear programming problem. This rules out (A), (C) and (D).
Answer: (B) linear function
Chapter 12, Linear Programming: Linear programming: the objective function.
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