Q.Solve the following Linear Programming Problem graphically by using Iso-cost method: Maximize Subject to the constraints: and
You're viewing a preview — the full solution, concept, methods & PYQ mapping are locked.
Start your 14-day free trial to unlock the full solution →The iso-cost method moves the objective line outward until it just touches the feasible region. The maximum of occurs at the corner , giving .
We are maximizing a linear function over a polygon. The iso-cost method works because the objective function is linear — for any fixed value of , the equation is a straight line. As increases, this line shifts outward (away from the origin). The highest for which the line still touches the feasible region will hit a corner point of the polygon. That corner is the optimal solution.
Let’s build the feasible region first, then apply the iso-cost method.
-
Plot the constraints as lines.
Constraint 1:
The boundary line is . Find intercepts:
- If , then .
- If , then . So the line passes through and . Since the inequality is , the feasible side is towards the origin (test : is true).
Constraint 2:
Boundary: . Intercepts:
- .
- . So the line passes through and . Again, test : is true, so the feasible side is towards the origin.
Non-negativity: , restricts us to the first quadrant.
-
Find the feasible region.
Both constraints are “less than or equal to” and both include the origin. The feasible region is the intersection of the two half-planes in the first quadrant.
Notice that both boundary lines pass through . Let’s find the other intersection point of the two lines:
Solve and . Subtract the second from the first:
.
Then .
So the two lines intersect at — that’s the only intersection in the first quadrant.
The feasible region is a triangle with vertices:
- — origin
- — from on the -axis
- — intersection point (also on the -axis from both constraints)
Watch outA common mistake is to include as a vertex. But does not satisfy (since is false). So it lies outside the feasible region. Always check every candidate corner against all constraints.
-
Apply the iso-cost method.
The objective is . Rewrite it as . …
Unlock everything free for 14 days
- Full step-by-step solutions
- Concept-first explanations
- Methods, shortcuts & mistakes
- PYQ mapping + timed mock tests
Full access for 14 days. No credit card required.