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(17) The solution to the LP Relaxation of a maximization integer linear program provides a(n) a. upper bound for the value of the objective function. b. lower bound for the value of the objective function. c. upper bound for the value of the decision variables. d. lower bound for the value of the decision variables.

(17) The solution to the LP Relaxation of a maximization integer linear program provides a(n) a. upper bound for the value of the objective function. b. lower bound for the value of the objective function. c. upper bound for the value of the decision variables. d. lower bound for the value of the decision variables.

Practical Management Science
Practical Management Science
6th Edition
ISBN:9781337406659
Author:WINSTON, Wayne L.
Publisher:WINSTON, Wayne L.
Chapter2: Introduction To Spreadsheet Modeling
Section: Chapter Questions
Problem 20P: Julie James is opening a lemonade stand. She believes the fixed cost per week of running the stand...
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(17) The solution to the LP Relaxation of a maximization integer linear program provides a(n) a. upper bound for the value of the objective function. b. lower bound for the value of the objective function. c. upper bound for the value of the decision variables. d. lower bound for the value of the decision variables. (18) Let x1, x2, and x3 be 0-1 binary variables whose values indicate whether the projects are not done (0) or are done (1). Which of the following answers indicates that at least two of the projects must be done? a. X1 X2 = 0 b. x1 + x2 + x3 ≤ 2 C. X1 + X2 + x3 = 2 d. x1 + x2 + x3 ≥ 2 (19) Assuming W₁, W2, and W3 are 0-1 integer variables, the constraint W₁ + W₂ + W3 ≤ 1 is often called a a. multiple-choice constraint. b. mutually exclusive constraint. c. k out of n alternatives constraint. d. corequisite constraint.
Transcribed Image Text:(17) The solution to the LP Relaxation of a maximization integer linear program provides a(n) a. upper bound for the value of the objective function. b. lower bound for the value of the objective function. c. upper bound for the value of the decision variables. d. lower bound for the value of the decision variables. (18) Let x1, x2, and x3 be 0-1 binary variables whose values indicate whether the projects are not done (0) or are done (1). Which of the following answers indicates that at least two of the projects must be done? a. X1 X2 = 0 b. x1 + x2 + x3 ≤ 2 C. X1 + X2 + x3 = 2 d. x1 + x2 + x3 ≥ 2 (19) Assuming W₁, W2, and W3 are 0-1 integer variables, the constraint W₁ + W₂ + W3 ≤ 1 is often called a a. multiple-choice constraint. b. mutually exclusive constraint. c. k out of n alternatives constraint. d. corequisite constraint.
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