CH 02 - An Introduction to Linear Programming

CH 02 - An Introduction to Linear Programming © Cengage. Testing Powered by Cognero. Page 1 True / False 1. In a linear programming problem, the objective function and the constraints must be linear functions of the decision variables. a. True b. False ANSWER: True POINTS: 1 DIFFICULTY: Easy LEARNING OBJECTIVES: IMS.ASWC.19.02.01 - 2.1 NATIONAL STANDARDS: United States - BUSPROG: Reflective Thinking TOPICS: 2.1 A Simple Maximization Problem KEYWORDS: Bloom's: Remember 2. Only binding constraints form the shape (boundaries) of the feasible region. a. True b. False ANSWER: False POINTS: 1 DIFFICULTY: Easy LEARNING OBJECTIVES: IMS.ASWC.19.02.02 - 2.2 NATIONAL STANDARDS: United States - BUSPROG: Reflective Thinking TOPICS: 2.2 Graphical Solution Procedure KEYWORDS: Bloom's: Remember 3. It is not possible to have more than one optimal solution to a linear programming problem. a. True b. False ANSWER: False POINTS: 1 DIFFICULTY: Easy LEARNING OBJECTIVES: IMS.ASWC.19.02.02 - 2.2 NATIONAL STANDARDS: United States - BUSPROG: Reflective Thinking TOPICS: 2.2 Graphical Solution Procedure KEYWORDS: Bloom's: Understand 4. A linear programming problem can be both unbounded and infeasible. a. True b. False ANSWER: False POINTS: 1 DIFFICULTY: Easy LEARNING OBJECTIVES: IMS.ASWC.19.02.06 - 2.6 NATIONAL STANDARDS: United States - BUSPROG: Reflective Thinking TOPICS: 2.6 Special Cases CH 02 - An Introduction to Linear Programming © Cengage. Testing Powered by Cognero. Page 2 KEYWORDS: Bloom's: Understand 5. An infeasible problem is one in which the objective function can be increased to infinity. a. True b. False ANSWER: False POINTS: 1 DIFFICULTY: Easy LEARNING OBJECTIVES: IMS.ASWC.19.02.06 - 2.6 NATIONAL STANDARDS: United States - BUSPROG: Reflective Thinkin