Question: Given is the LP problem m a m i z e , z = 3 x 1 - 2 x 2 subject t o 3

Given is the LP problem
mamize,z=3x1-2x2
subject to3x1+x210
,x1+2x212
,x1,x20
(a) Solve this problem with the Management Scientist software. Print the solution,
compare it with the solution in the lecture notes and state whether both are
equal.
(b) Test the correctness of the non-zero 'Reduced Cost' value, i.e.
Inform yourself what the meaning of the Reduced Cost is using the lecture
notes.
Which variable had a non-zero Reduced Cost in the solution?
Increase the coefficient of this variable in your function z by slightly less
than the Reduced Cost and run the problem and note the optimal solution
(i.e.x1,x2).
Increase in your function z the coefficient of this variable by exactly the
Reduced Cost and run the problem and note the optimal solution (i.e.x1,x2).
Increase in your function z the coefficient of this variable by slightly more
than the Reduced Cost and run the problem and note the optimal solution
(i.e.x1,x2).
Give the basic variables and non-basic variables for the optimal solutions in
each of these 3 tests.
(c) Test the correctness of the non-zero slack value, i.e.
Inform yourself what the meaning of a non-zero slack value is using the
lecture notes.
Which slack variable had a non-zero slack value in the solution?
Lower the right hand side of the corresponding constraint by slightly less
than the slack value and run the problem and note the optimal solution (i.e.
x1,x2).
Lower in the corresponding constraint the right hand side by exactly the
slack value and run the problem and note the optimal solution (i.e.x1,x2).
Lower in the corresponding constraint the right hand side by slightly more
than the slack value and run the problem and note the optimal solution (i.e.
x1,x2).
Which of the constraints were binding in each of these 3 tests?
(d) Test the correctness of the non-zero 'Dual Price' values, i.e.
Using the lecture notes inform yourself what the meaning of the Dual Price
related to a constraint is.
Which constraint had a non-zero Dual Price?
Increase the bi of this constraint by bi=0.1, solve the optimization problem
again, compare znew*-zold*bi with the dual price.
Do the same experiment with bi=-0.1 and report your findings.
Do more such experiments to find the maximum bi and the minimum
(negative)bi giving the same ratio znew*-zold*bi as for small bi.
 Given is the LP problem mamize,z=3x1-2x2 subject to3x1+x210 ,x1+2x212 ,x1,x20 (a)

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