Consider the LPP: Max subject to
Match List-I with List-II
List-I List-II (A) Objective function (I) (B) One constraint (II) (C) Non-negative restrictions (III) (D) Point does not lie in the region (IV)
Choose the correct answer from the options given below:
Consider the LPP: Max subject to
Match List-I with List-II
| List-I | List-II |
|---|---|
| (A) Objective function | (I) |
| (B) One constraint | (II) |
| (C) Non-negative restrictions | (III) |
| (D) Point does not lie in the region | (IV) |
Choose the correct answer from the options given below:
Solution
The given LPP is:
Maximize
Subject to:
The objective function is what we want to maximize or minimize in an LPP.
Here, we want to maximize
(A) matches with (III):
Constraints are the conditions/restrictions given in the problem.
The constraints are:
Option (IV) gives: (which is one of the constraints)
(B) matches with (IV):
Non-negative restrictions ensure that variables cannot be negative.
Here: (which is the same as )
(C) matches with (II):
Testing point in option (I):
Since , point does not satisfy the constraint
Therefore, it does not lie in that region.
(D) matches with (I):
| List-I | Matches | List-II |
|---|---|---|
| (A) Objective function | → | (III) |
| (B) One constraint | → | (IV) |
| (C) Non-negative restrictions | → | (II) |
| (D) Point does not lie in the region | → | (I) |
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