Linear programming models are a subset of constrained optimization models that require the assumptions of continuity of the variables, certainty of the coefficients, additivity of terms, and proportionality of costs, profits, and the use of resources to the value of the decision variables.
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Q1: Minimization linear programming models may not
Q3: Binary linear programming allows for the possibility
Q4: "Range of optimality" describes the impact of
Q5: When specifying linear constraints, the modeler must
Q6: A linear programming problem with all
Q7: If two extreme points are optimal, then
Q8: A non-binding constraint is always a redundant
Q9: In the branch-and-bound technique for solving
Q10: When compared with standard linear programming, integer
Q11: The complementary slackness principle states that either
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