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Q. Fill in the blanks
$ (i)$ In a $LPP$, the objective function is always P
$(ii)$ The feasible region for a $LPP$ is always a Q polygon.
$(iii)$ A feasible region of a system of linear inequalities is said to be R, if it can be enclosed within a circle.
$(iv)$ In a $LPP$, if the objective function $Z = ax + by$
has the same maximum value on two corner points of the feasible region, then every point on the line segment joining these two points give the same S value.
P$ \qquad$ Q $ \qquad$ R $ \qquad$ S $ \qquad$
(a) $ \quad$ non-linear$ \quad$ convex $ \quad$ unbounded$ \quad$ minimum $ \quad$
(b) parabolic convex unbounded maximum
(c) linear concave bounded minimum
(d) linear convex bounded maximum

Linear Programming

Solution:

$(i)$ In a $LPP$, objective function is always linear.
$(ii)$ The feasible region for a $LPP$ is always a convex polygon.
$(iii)$ A feasible region of a system of linear inequalities is said to be bounded, if it can be enclosed within a circle.
$ (iv)$ In a $LPP$, if the objective function $Z = ax + by$ has the same maximum value on two corner points of the feasible region, then every point on the line segment joining these two points give the same maximum value.