Exam 18: Simplex-Based Sensitivity Analysis and Duality
Exam 1: Introduction53 Questions
Exam 2: An Introduction to Linear Programming56 Questions
Exam 3: Linear Programming: Sensitivity Analysis and Interpretation of Solution44 Questions
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Exam 18: Simplex-Based Sensitivity Analysis and Duality32 Questions
Exam 19: Solution Procedures for Transportation and Assignment Problems39 Questions
Exam 20: Minimal Spanning Tree19 Questions
Exam 21: Dynamic Programming41 Questions
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If the simplex tableau is from a maximization converted from a minimization,the signs and directions of the inequalities that give the objective function ranges will need to be adjusted to apply to the original coefficients.
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Correct Answer:
True
For this optimal simplex tableau,the original right-hand sides were 100 and 90.The problem was a maximization.
a.What would the new solution be if there had been 150 units available in the first constraint?
b.What would the new solution be if there had been 70 units available in the second constraint?

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Correct Answer:
The primal problem is as follows:
The final tableau for its dual problem is as follows:
Give the complete solution to the primal problem.


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Correct Answer:
The complete primal solution is x1 = 15,x2 = 0,x3 = 5,s1 = 0,s2 = 0,Z = 50.
For the following linear programming problem
the final tableau is
a.Find the range of optimality for c1 and c2.
b.Find the range of feasibility for b1,b2,and b3.
c.Find the dual prices.


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As long as the actual value of the objective function coefficient is within the range of optimality,the current basic feasible solution will remain optimal.
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For the following linear programming problem
the final tableau is
a.Find the range of optimality for c1, c2, c3, c4, c5, and c6.
b.Find the range of feasibility for b1,b2,and b3.


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An LP maximization problem with all less-than-or-equal-to constraints and nonnegativity requirements for the decision variables is known as
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The range of optimality is calculated by considering changes in the cj − zj value of the variable in question.
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The dual price for an equality constraint is the zj value for its artificial variable.
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For this optimal simplex tableau,the right-hand sides for the two original ≥ constraints were 300 and 250.The problem was a minimization.
a.What would the new solution be if the right-hand-side value in the first constraint had been 325?
b.What would the new solution be if the right-hand-side value for the second constraint had been 220?

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The entries in the associated slack column of the final tableau can also be interpreted as the changes in the values of the current basic variables corresponding to a one-unit increase in the right-hand side.
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Dual prices and ranges for objective function coefficients and right-hand-side values are found by considering
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If the dual price for b1 is 2.7,the range of feasibility is 20 ≤ b1 ≤ 50,and the original value of b1 was 30,which of the following is true?
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The improvement in the value of the optimal solution per unit increase in a constraint's right-hand side is
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