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Given the following linear program: min - 5 x 1 - 5 x 2 - 3 x 3 , s . t . x 1
Given the following linear program:
min
i State the problem in Standard Form
ii In class we generalized the set of equality constraints of an LP in standard form as
What is A and in this case?
iii Enumerate all the vertices of the feasible region ie all basic feasible solutions Note: You
can write a script in Matlab to facilitate the enumeration.
iv By considering the result in iii, what is the optimal solution? Justify.
v Solve the linear program using the simplex method. Describe each iteration.
vi Suppose the matrix is replaced with a new matrix with rows and columns and the
vector is replaced with a new vector of components. What is the maximum number of
vertices you may have in this case? Why is it possible to have a fewer number of vertices
than the maximum number?
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