Published by:
CGP EDU Academic Team
Published on: August 12, 2026
The maximum value of
subject to
,
is
Text Solution
Verified by ExpertsThe correct answer is:
A
: Converting inequations into equations and drawing the corresponding lines we get the shaded region as feasible region.

As
, solution lies in first quadrant.

Here,
is the point of intersection of the lines
and
; i.e.,
.
We have corner points
and
. Now, 

has maximum value 72 at
,
──────────────────────────────────────────────────────────────────────────────────────────
Prepare Smarter with CGP Edu
Get practice questions, solutions, and test series in one place.
Write a Review
Share your experience with this question and solution.
Commentary
Send your comment, doubt, correction, or feedback to admin.
Similar Questions
Explore conceptually related problems
In solving the LPP : "minimize subject to constraints , " redundant constraints are
The shaded part of given figure indicates the feasible region
then the constraints are
The objective function , subject to has maximum value of the feasible region.
The objective function , subject to has minimum value at the point
The objective function of LPP defined over the convex set attains its optimum value at
The maximum value of subject to and is