The finite nature of integer programming models leads to simpler solution algorithms.
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Q1: The divisibility assumption in the mathematical programming
Q2: The impact of rounding a fractional solution
Q3: Integer programming models have an objective function
Q4: Adding integer constraints to regular linear programming
Q6: Nonlinear integer programming models offer additional challenges
Q7: Linear integer programming models offer additional challenges
Q8: Searching for the optimal integer solution becomes
Q9: Solver's evolutionary solving method is suggested for
Q10: The assignment method is a special case
Q11: In the assignment method, the decision maker
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