A) always a positive integer.
B) zero.
C) a negative integer.
D) equal to the sum of the optimal points in the solution.
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Multiple Choice
A) objective function coefficient
B) slack
C) unbounded
D) surplus
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A) proportionality
B) divisibility
C) additivity
D) negativity
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A) parameter
B) decision variable
C) dummy variable
D) constraint
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A) objective function coefficient
B) infeasible solution
C) objective function contour
D) feasible region
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Multiple Choice
A) objective function coefficient
B) shadow price
C) restrictive cost
D) right-hand side allowable increase
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Multiple Choice
A) Solver could not find a feasible solution.
B) Solver cannot improve the current solution. All constraints are satisfied.
C) Solver could not find a bounded solution.
D) Objective Cell values do not converge.
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A) will always be zero.
B) always take positive values.
C) can never be equal to zero.
D) is no longer valid if the right-hand side of the constraint remains the same.
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A) regression analysis
B) cluster analysis
C) optimality analysis
D) sensitivity analysis
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A) the problem modeling includes only nonnegative values in the constraints.
B) the solution to the problem will contain only nonnegative values for the decision variables.
C) the objective function of the problem always returns maximum quantities.
D) there are no inequalities in the constraints.
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Multiple Choice
A) infeasible
B) alternative optimal
C) binding
D) unique optimal
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