How do NCERT Solutions explain the concept of feasible and infeasible regions in Linear Programming?
How do NCERT Solutions explain the concept of feasible and infeasible regions in Linear Programming?
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2 Answers
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Shiksha's Class 12 Linear Programming, NCERT Solutions provide clear explanation for the concepts of feasible and infeasible regions;
- A feasible region is the common area on a graph that satisfies all the given constraints of a linear programming problem, including non-negativity conditions.
- An infeasible region comprises points that do not satisfy one or more of the problem's constraints. Any point outside the feasible region is considered an infeasible solution.
Students can use NCERT Solutions to understand the concepts for feasible and infeasible reason in the Linear Programming.
-
Shiksha's Class 12 Linear Programming, NCERT Solutions provide a clear explanation for the concepts of feasible and infeasible regions;
- A feasible region is the common area on a graph that satisfies all the given constraints of a linear programming problem, including non-negativity conditions (x? 0, y? 0).
- An infeasible region comprises points that do not satisfy one or more of the problem's constraints. Any point outside the feasible region is considered an infeasible solution.
Students can use NCERT Solutions to understand the concepts for feasible and infeasible reason in the Linear Programming.
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= -8 (-3 + k)
For inconsistent
. (ii)
by using property
Adding (i) and (ii) we get 2l =
Given 2x + y – z = 3 . (i)
x – y – z = α . (ii)
3x + 3y + βz = 3 . (iii)
(i) x 2 – (ii) – (iii) – (1 + β) z = 3 - α
For infinite solution 1 + β = 0 = 3 - α
=> α = 3, β = -1
So, α + β - αβ = 5
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