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In the problem Z = 3x1 + 2x2
Subject to 2x1 + x2 ≤ 20 ---(i)
x1 ≤ 10 ---(ii)
x1, x2 ≥ 0 ---(iii)
constraint (iii) is known as
Consider the following LPP:
Maximize z = 60X1 + 50X2
Subject to X1 + 2X2 ≤ 40,
3X1 + 2X2 ≤ 60
where, X1 and X2 ≥ 0
Consider the following Linear Programming Problem (LPP).
Maximise Z = x1 + 2x2
Subject to:
x1 ≤ 2
x2 ≤ 2
x1 + x2 ≤ 2
x1, x2 ≥ 0 (i.e. +ve decision variables)
What is the optimal solution to the above LPP?
A manufacturing unit produces two products Pl and P2. For each piece of P1 and P2, the table below provides quantities of materials M1, M2, and M3 required, and also the profit earned. The maximum quantity available per day for M1, M2 and M3 is also provided. Then which of the following mathematical formulation is correct for this L.P.P.?
M1
M2
M3
Profit per piece (Rs.)
P1 ( x1)
2
0
150
P2 (x2.)
3
1
100
Maximum quantity available per day
70
50
40
Where the number of the products of P! and P2 types are x1 and x2.
2x1 + 3x2 ≤ 70,
2x1 + x2 ≤ 50,
2x2 ≤ 40,
x1 ≥ 0 and x2. ≥ 0
Max z = x1 + x2 subject to constraints:
x1 + x2 ≤ 1
-3x1 + x2 ≥ 3
x1, x2 ≥ 0
Consider the following Linear Programming Problem (LPP):
Maximize Z = 3x1 + 2x2 Subject to
x1 ≤ 4
x2 ≤ 6
3x1 + 2x2 ≤ 18
x1 ≥ 0, x2 ≥ 0
An objective function is given by
Z(x1, x2) = 3x1 + 9x2
The constraints are:
x1 + x2 ≤ 8; x1 + 2x2 ≤ 4; x1 ≥ 0; x2 ≥ 0
What will be the maximum value of the objective function?
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