Question No. 1
In L P P the Non negativity constraints on variables restricts
the feasible, region to --- of XY plane
First quadrant& Second
quadrant
Second
quadrant
First quadrant & fourth
quadrant
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0
Answer:
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Step-by-step explanation:
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Answered by
0
Answer:
⇒the correct answer is only first quadrant.
⇒the options of question are clumsy and incomplete info, i will provide complete question below after explanation check it out!
Step-by-step explanation:
- A feasible region is an area defined by a set of coordinates that satisfy a system of inequalities.
- The region satisfies all restrictions imposed by a linear programming scenario
- . The concept is an optimization technique.
- To solve the given linear programming problem, linear inequalities are drawn on graphs and the inequality (≤,≥) tells us the region, which particular linear inequality will cover.
- When all linear inequalities are drawn on a graph, the common region for all of them represents a feasible region.
Qestion:
In L.P.P the Non negativity constraints on variables restricts
the feasible, region to --- of XY plane.
(a) first and second quadrant. (b) first and third quadran.
(c) second quadrant (d) only first quadrant
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