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The maximization or minimization of a quantity is the
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Objective of linear programming.
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Decision variables...
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Tell how much or how many of something to produce, invest, purchase, hire, etc.
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Which of the following is a valid objective function for a linear programming problem?a. Max 5xyb. Min 4x + 3y + (2/3)zc. Max 5x2 + 6y2d. Min (x1 + x2)/x3
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Answer: B Min 4x + 3y + (2/3)z
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Which of the following statements is NOT true?a. A feasible solution satisfies all constraints.b. An optimal solution satisfies all constraints.c. An infeasible solution violates all constraints.d. A feasible solution point does not have to lie on the boundary of the feasible region.
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Answer: C An infeasible solution violates all constraints
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A solution that satisfies all the constraints of a linear programming problem except the nonnegativity constraints is called...
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Infeasible
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Infeasibility means that the number of solutions to the linear programming models that satisfies all constraints is...
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0
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A constraint that does not affect the feasible region is a
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Redundant constraint
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Whenever all the constraints in a linear program are expressed as equalities, the linear program is said to be written in...
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Standard form
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All of the following statements about a redundant constraint are correct EXCEPT a. A redundant constraint does not affect the optimal solution. b. A redundant constraint does not affect the feasible region. c. Recognizing a redundant constraint is easy with the graphical solution method. d. At the optimal solution, a redundant constraint will have zero slack.
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Answer: D
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All linear programming problems have all of the following properties EXCEPT a. a linear objective function that is to be maximized or minimized. b. a set of linear constraints. c. alternative optimal solutions. d. variables that are all restricted to nonnegative values.
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Answer: C
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T or F:Increasing the right-hand side of a nonbinding constraint will not cause a change in the optimal solution.
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False
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T or F: A redundant constraint is a binding constraint.
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False
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T or F: Decision variables limit the degree to which the objective in a linear programming problem is satisfied.
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False
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T or F: No matter what value it has, each objective function line is parallel to every other objective function line in a problem.
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True
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T or F: The point (3, 2) is feasible for the constraint 2x1 + 6x2 £ 30.
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True
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