1. The extreme point of the convex set of feasible solutions of the L.P.P.
Max.Z = 10x1 + 15x2 S.t. x1 + x2 = 2,3x1+2x2 ≤ 6, x1, x2 ≥ 0 are
2. If there is no feasible region in a L.P.P. then we are saying that the matter has
3. The solution of the L.P.P. Max. Z = 5x1 + 7x2 S.t.
3x1 +2x2≤ 12, 2x1+3x2≤13, x1,x2≥0 is
4. The maximum number of basic solutions to the set of m simultaneous
equations in n unknowns (n ≥ m) is
5. The set of values of the variable's x1,x2,.....xn, satisfy the constraints and
non negative restrictions of a L.P.P. is called a :
6. If the worth of the target operate Z is accrued or small indefinitely, such solutions square measure called::
7. A necessary and ample condition for the existence and non-degeneracy of all the essential solutions of Ax = b (m equations in n unknowns), is that each set of
8. The non-negative variable's which are added to L.H.S. of the constraints to convert them into equalities square measure referred to as the::
9. A basic feasible solution of a L.P.P. is said to be non-degenerate basic feasible
solution, if:
10. A basic feasible solution of a L.P.P. is said to be degenerate basic feasible
solution, if:
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