Common region of constraints = feasible region (III).
Minimize linear expression = objective function (I).
Solution satisfying non-negative restrictions = feasible solution (IV).
Set of all feasible solutions = convex set (II).
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=c1x1+c2x2+.....+cnxn 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 |
Choose the correct answer from the options given below :
Held on 15 Jun 2023 · Verified 13 Jul 2026.
(A)-(I), (B)-(III), (C)-(IV), (D)-(II)
(A)-(II), (B)-(IV), (C)-(I), (D)-(III)
(A)-(III), (B)-(I), (C)-(IV), (D)-(II)
(A)-(IV), (B)-(III), (C)-(II), (D)-(I)
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