CUET · MATHS · PYQ PAPER 2023
Match List - I with List - II.
| List - I | List - II |
| (A) The common region determined by all the constraints of LPP is called | (I) objective function |
| (B) Minimize \(z=c_1 x_1+c_2 x_2+\cdots+c_n x_n\) is | (II) convex set |
| (C) A solution that also satisfies the non-negative restrictions of a LPP is called | (III) feasible region |
| (D) The set of all feasible solutions of a LPP is a | (IV) feasible solution |
- A \((A)-(I),(B)-(I I I),(C)-(I V),(D)-(I I)\)
- B \((A)-(I I),(B)-(I V),(C)-(I),(D)-(I I I)\)
- C \((A)-(I I I),(B)-(I),(C)-(I V),(D)-(I I)\)
- D \((A)-(I V),(B)-(I I I),(C)-(I I),(D)-(I)\)
Answer & Solution
Correct Answer
(C) \((A)-(I I I),(B)-(I),(C)-(I V),(D)-(I I)\)
Step-by-step Solution
Detailed explanation
(A) → (III): The common region determined by all constraints is the feasible region. (B) → (I): The linear function \(z=c_1 x_1+c_2 x_2+\cdots+c_n x_n\) to be optimized is the objective function. (C) → (IV): Any point satisfying all constraints and non-negativity restrictions is…
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