# Important information about Simplex method

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Maximize

P= 40x1 + 60x2 + 50x3

Subject to the constraints

2x1 + 2x2 + x3 < = 8

x1 - 4x2 +3x3 < = 12

x1 > = 0 x2 > = 0 x3 > = 0

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##### Solution Summary

This shows how to use Simplex method to maximize a function with given constraints.

##### Solution Preview

We introduce non-negative, "slack" variables x_4 and x_5 and rewrite the

problem as follows:

Maximize P = 40 x_1 + 60 x_2 + 50 x_3

s.t. 2 x_1 + 2 x_2 + x_3 + x_4 = 0

x_1 - 4 x_2 + 3 x_3 + x_5 = 12

We note that we have an initial feasible solution (0,0,0,8,12).

We call (x_4,x_5) a basis for this solution and x_4 and x_5 "basic" variables".

We call x_1, x_2, and x_3 non-basic variables for this solution.

We look to see if there are any non-basic variables that will increase the

solution from P=0. This is done by choosing the variable with the largest

positive coefficient in our expression of P above (in terms of non-basics).

We choose to put x_2 into the basis because it would increase P most quickly

(per unit change in x_2).

We next turn to how much we can increase x_2 and still remain feasible.

In general, if "e" denotes the subscript of the entering variable. a_(i,e) is

the coefficient of this variable for ...

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