When using branch and bound for a maximization integer programming problem, the lower bound at the initial node can always be determined by rounding down the LP relaxation solution values regardless of the types of constraints in the problem.
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Q11: The branch and bound method is a
Q12: A feasible solution is ensured by rounding
Q13: A feasible solution is ensured by rounding
Q14: When the branch and bound approach is
Q15: In using the branch and bound method,
Q17: The branch and bound solution method cannot
Q18: If an integer linear programming problem has
Q19: An infeasible solution is ensured by rounding
Q20: A rounded-down integer solution can result in
Q21: The branch and bound method can be
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