Question: Consider the following LP: maximize 5 x 1 + 8 x 2 + 6 x 3 subject to x 1 + x 2 + x

Consider the following LP:
maximize 5x1+8x2+6x3
subject to
x1+x2+x3<=10
x1+2x2+4x3<=10
4x1+4x2+2x3<=8
x1,x2,x3>=0
Answer the following questions manually without using CPLEX.
(a) Apply Simplex method to solve. What is the optimal basis? What are the basic and non-basic variables?
(b) By how much can the objective coefficient for x1 change while keeping the same optimal basis (in other words, what is )?
(c) Verify your answer in CPLEX by performing a sensitivity analysis.
(d) What is the shadow price of x1?
(e) By how much can the objective coefficient for x2 change while keeping the same optimal basis (in other words, what is )?
(f) Verify your answer in CPLEX by performing a sensitivity analysis.
(g) What is the shadow price of x2?
(h) By how much can the rhs of the 2nd constraint change while keeping the same optimal basis (in other words, what is the allowable )?
(i) Verify your answer in CPLEX by performing a sensitivity analysis.
(j) If the 3rd constraint changed to 2x1+4x2+2x3<=8 will there be a change to the optimal basis?
(k) If the 3rd constraint changed to 4x1+5x2+2x3<=8 will there be a change to the optimal basis?
(l) Assume we add an activity corresponding to the decision variable x4, with objective coefficient c4=10, and constraint coefficients 2,4, and 1 corresponding to the 1st,2nd, and 3rd constraints. Will there be a change to the optimal basis?

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