Exam 17: Linear Programming: Simplex Method
Exam 1: Introduction63 Questions
Exam 2: An Introduction to Linear Programming66 Questions
Exam 3: Linear Programming: Sensitivity Analysis and Interpretation of Solution56 Questions
Exam 4: Linear Programming Applications in Marketing, Finance, and Operations Management63 Questions
Exam 5: Advanced Linear Programming Applications46 Questions
Exam 6: Distribution and Network Models70 Questions
Exam 7: Integer Linear Programming61 Questions
Exam 8: Nonlinear Optimization Models51 Questions
Exam 9: Project Scheduling: Pertcpm59 Questions
Exam 10: Inventory Models65 Questions
Exam 11: Waiting Line Models68 Questions
Exam 12: Simulation62 Questions
Exam 13: Decision Analysis97 Questions
Exam 14: Multicriteria Decisions50 Questions
Exam 15: Time Series Analysis and Forecasting63 Questions
Exam 16: Markov Processes49 Questions
Exam 17: Linear Programming: Simplex Method51 Questions
Exam 18: Simplex-Based Sensitivity Analysis and Duality35 Questions
Exam 19: Solution Procedures for Transportation and Assignment Problems44 Questions
Exam 20: Minimal Spanning Tree19 Questions
Exam 21: Dynamic Programming38 Questions
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What is degeneracy and what can be done in the simplex procedure to overcome the problem?
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Determine from a review of the following tableau whether the linear programming problem has multiple optimal solutions. 

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When a set of simultaneous equations has more variables than constraints,
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Every extreme point of the graph of a two variable linear programming problem is a basic feasible solution.
(True/False)
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We recognize infeasibility when one or more of the artificial variables do not remain in the solution at a positive value.
(True/False)
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At each iteration of the simplex procedure, a new variable becomes basic and a currently basic variable becomes nonbasic, preserving the same number of basic variables and improving the value of the objective function.
(True/False)
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Write the following problem in tableau form. Which variables would be in the initial basic solution?
Min Z
= −3x1 + x2 + x3
s.t.
x1 − 2x2 + x3 ≤ 11
−4 x1 + x2 + 2x3 ≥ 3
2x1 − x3 ≥ −1
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A minimization problem with four decision variables, two greater-than-or-equal-to constraints, and one equality constraint will have
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