Consider Paul Jordan's following linear programming formulation:
Minimize |
$ 4$4Upper X 1X1plus+ |
$ 2$2Upper X 2X2 |
|||
11Upper X 1X1plus+ |
33Upper X 2X2 |
greater than or equals≥ |
7575 |
(Upper C 1C1 ) |
|
88Upper X 1X1plus+ |
22Upper X 2X2 |
greater than or equals≥ |
160160 |
(Upper C 2C2 ) |
|
33Upper X 1X1plus+ |
22Upper X 2X2 |
greater than or equals≥ |
120120 |
(Upper C 3C3 ) |
|
11Upper X 2X2 |
less than or equals≤ |
7070 |
(Upper C 4C4 ) |
||
Upper X 1X1 , |
Upper X 2X2greater than or equals≥0 |
a) On the graph on right, constraints
Upper C 1C1 ,
Upper C 2C2 ,
Upper C 3C3 ,
and
Upper C 4C4have
been plotted.
Using the point drawing
tool ,
plot all the corner points for the feasible area.
The optimum solution is:
Upper X 1X1
=
nothing
(round your response to two decimal places).
Upper X 2X2
=
nothing
(round your response to two decimal places).
b) Optimal solution value 'Z' =
nothing
(round your response to two decimal places).
Looks like there is a lot of duplicate values and the “Upper” is everywhere for some reason. Ignoring that, the equation seems to be
Minimize 4x1 + 2x2
S.T.
1x1 + 3x2 >= 75
8x1 + 2x2 >= 160
3x1 + 2x2 >= 120
1x2 <= 70
x1, x2 >= 0
The solution
x1 = 8
x2 = 48
Z = 128
Consider Paul Jordan's following linear programming formulation: Minimize $ 4$4Upper X 1X1plus+ $ 2$2Upper X 2X2...
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