Question 1 In linear programming problems the objective function represents the mathematical equation showing the quantity to be maximised h the mathematical equation showing the quantity to be optimised the spare resources to be allocated the constraints to be met Question 2 Which of the following should always be included in the objective function of a linear programming problem? the constraints the decision variables a the spare resources the limited resources Question 3 Can a linear programming problem have more than two decision variables? No Question 4 b. Yes An infeasible linear programming problem is one in which some of the constraints appear as equations rather than inequalities the area of feasibility does not form a polygon there is no optimal solution none of the above

Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
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Question 1
In linear programming problems the objective function
represents
the mathematical equation showing the quantity to be
maximised
1. the mathematical equation showing the quantity to be
optimised
the spare resources to be allocated
the constraints to be met
Question 2
Which of the following should always be included in the
objective function of a linear programming problem?
the constraints
the decision variables
the spare resources
the limited resources
Question 3
Can a linear programming problem have more than two decision
variables?
No
Question 4
An infeasible linear programming problem is one in which
some of the constraints appear as equations rather than
inequalities
b. Yes
the area of feasibility does not form a polygon
there is no optimal solution
none of the above
Transcribed Image Text:Question 1 In linear programming problems the objective function represents the mathematical equation showing the quantity to be maximised 1. the mathematical equation showing the quantity to be optimised the spare resources to be allocated the constraints to be met Question 2 Which of the following should always be included in the objective function of a linear programming problem? the constraints the decision variables the spare resources the limited resources Question 3 Can a linear programming problem have more than two decision variables? No Question 4 An infeasible linear programming problem is one in which some of the constraints appear as equations rather than inequalities b. Yes the area of feasibility does not form a polygon there is no optimal solution none of the above
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